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Top 10 Cloud Computing Research Topics of 2024

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Cloud computing is a fast-growing area in the technical landscape due to its recent developments. If we look ahead to 2024, there are new research topics in cloud computing that are getting more traction among researchers and practitioners. Cloud computing has ranged from new evolutions on security and privacy with the use of AI & ML usage in the Cloud computing for the new cloud-based applications for specific domains or industries. In this article, we will investigate some of the top cloud computing research topics for 2024 and explore what we get most out of it for researchers or cloud practitioners. To master a cloud computing field, we need to check these Cloud Computing online courses .

Why Cloud Computing is Important for Data-driven Business?

The Cloud computing is crucial for data-driven businesses because it provides scalable and cost-effective ways to store and process huge amounts of data. Cloud-based storage and analytical platform helps business to easily access their data whenever required irrespective of where it is located physically. This helps businesses to take good decisions about their products and marketing plans. 

Cloud computing could help businesses to improve their security in terms of data, Cloud providers offer various features such as data encryption and access control to their customers so that they can protect the data as well as from unauthorized access. 

Few benefits of Cloud computing are listed below: 

• Scalability: With Cloud computing we get scalable applications which suits for large scale production systems for Businesses which store and process large sets of data.
• Cost-effectiveness : It is evident that Cloud computing is cost effective solution compared to the traditional on-premises data storage and analytical solutions due to its scaling capacity which leads to saving more IT costs. 
• Security : Cloud providers offer various security features which includes data encryption and access control, that can help businesses to protect their data from unauthorized access.
• Reliability : Cloud providers ensure high reliability to their customers based on their SLA which is useful for the data-driven business to operate 24X7. 

Top 10 Cloud Computing Research Topics

1. neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing.

Cloud computing research topics are getting wider traction in the Cloud Computing field. These topics in the paper suggest a multi-objective evolutionary algorithm (NN-MOEA) based on neural networks for dynamic workflow scheduling in cloud computing. Due to the dynamic nature of cloud resources and the numerous competing objectives that need to be optimized, scheduling workflows in cloud computing is difficult. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization. This research focuses on cloud computing and its potential to enhance the efficiency and effectiveness of businesses' cloud-based workflows.

The algorithm predicts workflow completion time using a feedforward neural network based on input and output data sizes and cloud resources. It generates a balanced schedule by taking into account conflicting objectives and projected execution time. It also includes an evolutionary algorithm for future improvement.

The proposed NN-MOEA algorithm has several benefits, such as the capacity to manage dynamic changes in cloud resources and the capacity to simultaneously optimize multiple objectives. The algorithm is also capable of handling a variety of workflows and is easily expandable to include additional goals. The algorithm's use of neural networks to forecast task execution times is a crucial component because it enables the algorithm to generate better schedules and more accurate predictions.

The paper concludes by presenting a novel multi-objective evolutionary algorithm-based neural network-based approach to dynamic workflow scheduling in cloud computing. In terms of optimizing multiple objectives, such as make span and cost, and achieving a better balance between them, these cloud computing dissertation topics on the proposed NN-MOEA algorithm exhibit encouraging results.

Key insights and Research Ideas:

Investigate the use of different neural network architectures for predicting the future positions of optimal solutions. Explore the use of different multi-objective evolutionary algorithms for solving dynamic workflow scheduling problems. Develop a cloud-based workflow scheduling platform that implements the proposed algorithm and makes it available to researchers and practitioners.

2. A systematic literature review on cloud computing security: threats and mitigation strategies 

This is one of cloud computing security research topics in the cloud computing paradigm. The authors then provide a systematic literature review of studies that address security threats to cloud computing and mitigation techniques and were published between 2010 and 2020. They list and classify the risks and defense mechanisms covered in the literature, as well as the frequency and distribution of these subjects over time.

The paper suggests the data breaches, Insider threats and DDoS attack are most discussed threats to the security of cloud computing. Identity and access management, encryption, and intrusion detection and prevention systems are the mitigation techniques that are most frequently discussed. Authors depict the future trends of machine learning and artificial intelligence might help cloud computing to mitigate its risks. 

The paper offers a thorough overview of security risks and mitigation techniques in cloud computing, and it emphasizes the need for more research and development in this field to address the constantly changing security issues with cloud computing. This research could help businesses to reduce the amount of spam that they receive in their cloud-based email systems.

Explore the use of blockchain technology to improve the security of cloud computing systems. Investigate the use of machine learning and artificial intelligence to detect and prevent cloud computing attacks. Develop new security tools and technologies for cloud computing environments. 

3. Spam Identification in Cloud Computing Based on Text Filtering System

A text filtering system is suggested in the paper "Spam Identification in Cloud Computing Based on Text Filtering System" to help identify spam emails in cloud computing environments. Spam emails are a significant issue in cloud computing because they can use up computing resources and jeopardize the system's security. 

To detect spam emails, the suggested system combines text filtering methods with machine learning algorithms. The email content is first pre-processed by the system, which eliminates stop words and stems the remaining words. The preprocessed text is then subjected to several filters, including a blacklist filter and a Bayesian filter, to identify spam emails.

In order to categorize emails as spam or non-spam based on their content, the system also employs machine learning algorithms like decision trees and random forests. The authors use a dataset of emails gathered from a cloud computing environment to train and test the system. They then assess its performance using metrics like precision, recall, and F1 score.

The findings demonstrate the effectiveness of the proposed system in detecting spam emails, achieving high precision and recall rates. By contrasting their system with other spam identification systems, the authors also show how accurate and effective it is. 

The method presented in the paper for locating spam emails in cloud computing environments has the potential to improve the overall security and performance of cloud computing systems. This is one of the interesting clouds computing current research topics to explore and innovate. This is one of the good Cloud computing research topics to protect the Mail threats. 

Create a stronger spam filtering system that can recognize spam emails even when they are made to avoid detection by more common spam filters. examine the application of artificial intelligence and machine learning to the evaluation of spam filtering system accuracy. Create a more effective spam filtering system that can handle a lot of emails quickly and accurately.

4. Blockchain data-based cloud data integrity protection mechanism 

The "Blockchain data-based cloud data integrity protection mechanism" paper suggests a method for safeguarding the integrity of cloud data and which is one of the Cloud computing research topics. In order to store and process massive amounts of data, cloud computing has grown in popularity, but issues with data security and integrity still exist. For the proposed mechanism to guarantee the availability and integrity of cloud data, data redundancy and blockchain technology are combined.

A data redundancy layer, a blockchain layer, and a verification and recovery layer make up the mechanism. For availability in the event of server failure, the data redundancy layer replicates the cloud data across multiple cloud servers. The blockchain layer stores the metadata (such as access rights) and hash values of the cloud data and access control information

Using a dataset of cloud data, the authors assess the performance of the suggested mechanism and compare it to other cloud data protection mechanisms. The findings demonstrate that the suggested mechanism offers high levels of data availability and integrity and is superior to other mechanisms in terms of processing speed and storage space.

Overall, the paper offers a promising strategy for using blockchain technology to guarantee the availability and integrity of cloud data. The suggested mechanism may assist in addressing cloud computing's security issues and enhancing the dependability of cloud data processing and storage. This research could help businesses to protect the integrity of their cloud-based data from unauthorized access and manipulation.

Create a data integrity protection system based on blockchain that is capable of detecting and preventing data tampering in cloud computing environments. For enhancing the functionality and scalability of blockchain-based data integrity protection mechanisms, look into the use of various blockchain consensus algorithms. Create a data integrity protection system based on blockchain that is compatible with current cloud computing platforms. Create a safe and private data integrity protection system based on blockchain technology.

5. A survey on internet of things and cloud computing for healthcare

This article suggests how recent tech trends like the Internet of Things (IoT) and cloud computing could transform the healthcare industry. It is one of the Cloud computing research topics. These emerging technologies open exciting possibilities by enabling remote patient monitoring, personalized care, and efficient data management. This topic is one of the IoT and cloud computing research papers which aims to share a wider range of information. 

The authors categorize the research into IoT-based systems, cloud-based systems, and integrated systems using both IoT and the cloud. They discussed the pros of real-time data collection, improved care coordination, automated diagnosis and treatment.

However, the authors also acknowledge concerns around data security, privacy, and the need for standardized protocols and platforms. Widespread adoption of these technologies faces challenges in ensuring they are implemented responsibly and ethically. To begin the journey KnowledgeHut’s Cloud Computing online course s are good starter for beginners so that they can cope with Cloud computing with IOT. 

Overall, the paper provides a comprehensive overview of this rapidly developing field, highlighting opportunities to revolutionize how healthcare is delivered. New devices, systems and data analytics powered by IoT, and cloud computing could enable more proactive, preventative and affordable care in the future. But careful planning and governance will be crucial to maximize the value of these technologies while mitigating risks to patient safety, trust and autonomy. This research could help businesses to explore the potential of IoT and cloud computing to improve healthcare delivery.

Examine how IoT and cloud computing are affecting patient outcomes in various healthcare settings, including hospitals, clinics, and home care. Analyze how well various IoT devices and cloud computing platforms perform in-the-moment patient data collection, archival, and analysis. assessing the security and privacy risks connected to IoT devices and cloud computing in the healthcare industry and developing mitigation strategies.

6. Targeted influence maximization based on cloud computing over big data in social networks

Big data in cloud computing research papers are having huge visibility in the industry. The paper "Targeted Influence Maximization based on Cloud Computing over Big Data in Social Networks" proposes a targeted influence maximization algorithm to identify the most influential users in a social network. Influence maximization is the process of identifying a group of users in a social network who can have a significant impact or spread information. 

A targeted influence maximization algorithm is suggested in the paper "Targeted Influence maximization based on Cloud Computing over Big Data in Social Networks" to find the most influential users in a social network. The process of finding a group of users in a social network who can make a significant impact or spread information is known as influence maximization.

Four steps make up the suggested algorithm: feature extraction, classification, influence maximization, and data preprocessing. The authors gather and preprocess social network data, such as user profiles and interaction data, during the data preprocessing stage. Using machine learning methods like text mining and sentiment analysis, they extract features from the data during the feature extraction stage. Overall, the paper offers a promising strategy for maximizing targeted influence using big data and Cloud computing research topics to look into. The suggested algorithm could assist companies and organizations in pinpointing their marketing or communication strategies to reach the most influential members of a social network.

Key insights and Research Ideas: 

Develop a cloud-based targeted influence maximization algorithm that can effectively identify and influence a small number of users in a social network to achieve a desired outcome. Investigate the use of different cloud computing platforms to improve the performance and scalability of cloud-based targeted influence maximization algorithms. Develop a cloud-based targeted influence maximization algorithm that is compatible with existing social network platforms. Design a cloud-based targeted influence maximization algorithm that is secure and privacy-preserving.

7. Security and privacy protection in cloud computing: Discussions and challenges

Cloud computing current research topics are getting traction, this is of such topic which provides an overview of the challenges and discussions surrounding security and privacy protection in cloud computing. The authors highlight the importance of protecting sensitive data in the cloud, with the potential risks and threats to data privacy and security. The article explores various security and privacy issues that arise in cloud computing, including data breaches, insider threats, and regulatory compliance.

The article explores challenges associated with implementing these security measures and highlights the need for effective risk management strategies. Azure Solution Architect Certification course is suitable for a person who needs to work on Azure cloud as an architect who will do system design with keep security in mind. 

Final take away of cloud computing thesis paper by an author points out by discussing some of the emerging trends in cloud security and privacy, including the use of artificial intelligence and machine learning to enhance security, and the emergence of new regulatory frameworks designed to protect data in the cloud and is one of the Cloud computing research topics to keep an eye in the security domain. 

Develop a more comprehensive security and privacy framework for cloud computing. Explore the options with machine learning and artificial intelligence to enhance the security and privacy of cloud computing. Develop more robust security and privacy mechanisms for cloud computing. Design security and privacy policies for cloud computing that are fair and transparent. Educate cloud users about security and privacy risks and best practices.

8. Intelligent task prediction and computation offloading based on mobile-edge cloud computing

This Cloud Computing thesis paper "Intelligent Task Prediction and Computation Offloading Based on Mobile-Edge Cloud Computing" proposes a task prediction and computation offloading mechanism to improve the performance of mobile applications under the umbrella of cloud computing research ideas.

An algorithm for offloading computations and a task prediction model makes up the two main parts of the suggested mechanism. Based on the mobile application's usage patterns, the task prediction model employs machine learning techniques to forecast its upcoming tasks. This prediction is to decide whether to execute a specific task locally on the mobile device or offload the computation of it to the cloud.

Using a dataset of mobile application usage patterns, the authors assess the performance of the suggested mechanism and compare it to other computation offloading mechanisms. The findings demonstrate that the suggested mechanism performs better in terms of energy usage, response time, and network usage.

The authors also go over the difficulties in putting the suggested mechanism into practice, including the need for real-time task prediction and the trade-off between offloading computation and network usage. Additionally, they outline future research directions for mobile-edge cloud computing applications, including the use of edge caching and the integration of blockchain technology for security and privacy. 

Overall, the paper offers a promising strategy for enhancing mobile application performance through mobile-edge cloud computing. The suggested mechanism might improve the user experience for mobile users while lowering the energy consumption and response time of mobile applications. These Cloud computing dissertation topic leads to many innovation ideas. 

Develop an accurate task prediction model considering mobile device and cloud dynamics. Explore machine learning and AI for efficient computation offloading. Create a robust framework for diverse tasks and scenarios. Design a secure, privacy-preserving computation offloading mechanism. Assess computation offloading effectiveness in real-world mobile apps.

9. Cloud Computing and Security: The Security Mechanism and Pillars of ERPs on Cloud Technology

Enterprise resource planning (ERP) systems are one of the Cloud computing research topics in particular face security challenges with cloud computing, and the paper "Cloud Computing and Security: The Security Mechanism and Pillars of ERPs on Cloud Technology" discusses these challenges and suggests a security mechanism and pillars for protecting ERP systems on cloud technology.

The authors begin by going over the benefits of ERP systems and cloud computing as well as the security issues with cloud computing, like data breaches and insider threats. They then go on to present a security framework for cloud-based ERP systems that is built around four pillars: access control, data encryption, data backup and recovery, and security monitoring. The access control pillar restricts user access, while the data encryption pillar secures sensitive data. Data backup and recovery involve backing up lost or failed data. Security monitoring continuously monitors the ERP system for threats. The authors also discuss interoperability challenges and the need for standardization in securing ERP systems on the cloud. They propose future research directions, such as applying machine learning and artificial intelligence to security analytics.

Overall, the paper outlines a thorough strategy for safeguarding ERP systems using cloud computing and emphasizes the significance of addressing security issues related to this technology. Organizations can protect their ERP systems and make sure the Security as well as privacy of their data by implementing these security pillars and mechanisms. 

Investigate the application of blockchain technology to enhance the security of cloud-based ERP systems. Look into the use of machine learning and artificial intelligence to identify and stop security threats in cloud-based ERP systems. Create fresh security measures that are intended only for cloud-based ERP systems. By more effectively managing access control and data encryption, cloud-based ERP systems can be made more secure. Inform ERP users about the security dangers that come with cloud-based ERP systems and how to avoid them.

10. Optimized data storage algorithm of IoT based on cloud computing in distributed system

The article proposes an optimized data storage algorithm for Internet of Things (IoT) devices which runs on cloud computing in a distributed system. In IoT apps, which normally generate huge amounts of data by various devices, the algorithm tries to increase the data storage and faster retrials of the same. 

The algorithm proposed includes three main components: Data Processing, Data Storage, and Data Retrieval. The Data Processing module preprocesses IoT device data by filtering or compressing it. The Data Storage module distributes the preprocessed data across cloud servers using partitioning and stores it in a distributed database. The Data Retrieval module efficiently retrieves stored data in response to user queries, minimizing data transmission and enhancing query efficiency. The authors evaluated the algorithm's performance using an IoT dataset and compared it to other storage and retrieval algorithms. Results show that the proposed algorithm surpasses others in terms of storage effectiveness, query response time, and network usage. 

They suggest future directions such as leveraging edge computing and blockchain technology for optimizing data storage and retrieval in IoT applications. In conclusion, the paper introduces a promising method to improve data archival and retrieval in distributed cloud based IoT applications, enhancing the effectiveness and scalability of IoT applications.

Create a data storage algorithm capable of storing and managing large amounts of IoT data efficiently. Examine the use of cloud computing to improve the performance and scalability of data storage algorithms for IoT. Create a secure and privacy-preserving data storage algorithm. Assess the performance and effectiveness of data storage algorithms for IoT in real-world applications.

How to Write a Perfect Research Paper?

• Choose a topic: Select the topic which is interesting to you so that you can share things with the viewer seamlessly with good content. 
• Do your research: Read books, articles, and websites on your topic. Take notes and gather evidence to support your arguments.
• Write an outline: This will help you organize your thoughts and make sure your paper flows smoothly.
• Start your paper: Start with an introduction that grabs the reader's attention. Then, state your thesis statement and support it with evidence from your research. Finally, write a conclusion that summarizes your main points.
• Edit and proofread your paper. Make sure you check the grammatical errors and spelling mistakes. 

Cloud computing is a rapidly evolving area with more interesting research topics being getting traction by researchers and practitioners. Cloud providers have their research to make sure their customer data is secured and take care of their security which includes encryption algorithms, improved access control and mitigating DDoS – Deniel of Service attack etc., 

With the improvements in AI & ML, a few features developed to improve the performance, efficiency, and security of cloud computing systems. Some of the research topics in this area include developing new algorithms for resource allocation, optimizing cloud workflows, and detecting and mitigating cyberattacks.

Cloud computing is being used in industries such as healthcare, finance, and manufacturing. Some of the research topics in this area include developing new cloud-based medical imaging applications, building cloud-based financial trading platforms, and designing cloud-based manufacturing systems.

Frequently Asked Questions (FAQs)

Data security and privacy problems, vendor lock-in, complex cloud management, a lack of standardization, and the risk of service provider disruptions are all current issues in cloud computing. Because data is housed on third-party servers, data security and privacy are key considerations. Vendor lock-in makes transferring providers harder and increases reliance on a single one. Managing many cloud services complicates things. Lack of standardization causes interoperability problems and restricts workload mobility between providers. 

Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are the cloud computing scenarios where industries focusing right now. 

The six major components of cloud infrastructure are compute, storage, networking, security, management and monitoring, and database. These components enable cloud-based processing and execution, data storage and retrieval, communication between components, security measures, management and monitoring of the infrastructure, and database services.  

Vinoth Kumar P

Vinoth Kumar P is a Cloud DevOps Engineer at Amadeus Labs. He has over 7 years of experience in the IT industry, and is specialized in DevOps, GitOps, DevSecOps, MLOps, Chaos Engineering, Cloud and Cloud Native landscapes. He has published articles and blogs on recent tech trends and best practices on GitHub, Medium, and LinkedIn, and has delivered a DevSecOps 101 talk to Developers community , GitOps with Argo CD Webinar for DevOps Community. He has helped multiple enterprises with their cloud migration, cloud native design, CICD pipeline setup, and containerization journey.

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Top 15 Cloud Computing Research Topics in 2024

Cloud computing has suddenly seen a spike in employment opportunities around the globe with tech giants like Amazon , Google , and Microsoft hiring people for their cloud infrastructure . Before the onset of cloud computing , companies and businesses had to set up their own data centers , and allocate resources and other IT professionals thereby increasing the cost. The rapid development of the cloud has led to more flexibility , cost-cutting , and scalability .

The Cloud Computing market is at an all-time high with the current market size at USD 371.4 billion and is expected to grow up to USD 832.1 billion by 2025 ! It’s quickly evolving and gradually realizing its business value along with attracting more and more researchers , scholars , computer scientists , and practitioners. Cloud computing is not a single topic but a composition of various techniques which together constitute the cloud . Below are 10 of the most demanded research topics in the field of cloud computing .

What is Cloud Computing?

Cloud computing is the practice of storing and accessing data and applications on remote servers hosted over the internet, as opposed to local servers or the computer’s hard drive. Cloud computing, often known as Internet-based computing, is a technique in which the user receives a resource as a service via the Internet. Files, photos, documents, and other storable documents can all be considered types of data that are stored.

Let us look at the latest in cloud computing research for 2024! We’ve compiled 15 important cloud computing research topics that are changing how cloud computing is used.

1. Big Data

Big data refers to the large amounts of data produced by various programs in a very short duration of time. It is quite cumbersome to store such huge and voluminous amounts of data in company-run data centers . Also, gaining insights from this data becomes a tedious task and takes a lot of time to run and provide results, therefore cloud is the best option. All the data can be pushed onto the cloud without the need for physical storage devices that are to be managed and secured. Also, some popular public clouds provide comprehensive big data platforms to turn data into actionable insights.

DevOps is an amalgamation of two terms, Development and Operations . It has led to Continuous Delivery , Integration, and Deployment therefore reducing boundaries between the development team and the operations team . Heavy applications and software need elaborate and complex tech stacks that demand extensive labor to develop and configure which can easily be eliminated by cloud computing . It offers a wide range of tools and technologies to build , test , and deploy applications within a few minutes and a single click. They can be customized as per the client’s requirements and can be discarded when not in use hence making the process seamless and cost-efficient for development teams .

3. Cloud Cryptography

Data in the cloud needs to be protected and secured from foreign attacks and breaches . To accomplish this, cryptography in the cloud is a widely used technique to secure data present in the cloud . It allows users and clients to easily and reliably access the shared cloud services since all the data is secured using either encryption techniques or by using the concept of the private key . It can make the plain text unreadable and limit the view of the data being transferred. Best cloud cryptographic security techniques are the ones that do not compromise the speed of data transfer and provide security without delaying the exchange of sensitive data.

4. Cloud Load Balancing

It refers to splitting and distributing the incoming load to the server from various sources. It permits companies and organizations to govern and supervise workload demands or application demands by redistributing, reallocating, and administering resources between different computers, networks, or servers. Cloud load balancing encompasses holding the circulation of traffic and demands that exist over the Internet. This reduces the problem of sudden outages, results in an improvement in overall performance, has rare chances of server crashes and also provides an advanced level of security. Cloud-based server farms can accomplish more precise scalability and accessibility using the server load balancing mechanism . Due to this, the workload demands can be easily distributed and controlled.

5. Mobile Cloud Computing

It is a mixture of cloud computing , mobile computing , and wireless network to provide services such as seamless and abundant computational resources to mobile users, network operators, and cloud computing professionals. The handheld device is the console and all the processing and data storage takes place outside the physical mobile device. Some advantages of using mobile cloud computing are that there is no need for costly hardware, battery life is longer, extended data storage capacity and processing power, improved synchronization of data, and high availability due to “store in one place, accessible from anywhere”. The integration and security aspects are taken care of by the backend that enables support to an abundance of access methods.

6. Green Cloud Computing

The major challenge in the cloud is the utilization of energy-efficient and hence develop economically friendly cloud computing solutions. Data centers that include servers , cables , air conditioners , networks , etc. in large numbers consume a lot of power and release enormous quantities of Carbon Dioxide in the atmosphere. Green Cloud Computing focuses on making virtual data centers and servers to be more environmentally friendly and energy-efficient. Cloud resources often consume so much power and energy leading to a shortage of energy and affecting the global climate. Green cloud computing provides solutions to make such resources more energy efficient and to reduce operational costs. This pivots on power management , virtualization of servers and data centers, recycling vast e-waste , and environmental sustainability .

7. Edge Computing

It is the advancement and a much more efficient form of Cloud computing with the idea that the data is processed nearer to the source. Edge Computing states that all of the computation will be carried out at the edge of the network itself rather than on a centrally managed platform or data warehouse. Edge computing distributes various data processing techniques and mechanisms across different positions. This makes the data deliverable to the nearest node and the processing at the edge . This also increases the security of the data since it is closer to the source and eliminates late response time and latency without affecting productivity

8. Containerization

Containerization in cloud computing is a procedure to obtain operating system virtualization . The user can work with a program and its dependencies utilizing remote resource procedures . The container in cloud computing is used to construct blocks, which aid in producing operational effectiveness , version control , developer productivity , and environmental stability . The infrastructure is upgraded since it provides additional control over the granular activities of the resources. The usage of containers in online services assists storage with cloud computing data security, elasticity, and availability. Containers provide certain advantages such as a steady runtime environment , the ability to run virtually anywhere, and the low overhead compared to virtual machines .

9. Cloud Deployment Model

There are four main cloud deployment models namely public cloud , private cloud , hybrid cloud , and community cloud . Each deployment model is defined as per the location of the infrastructure. The public cloud allows systems and services to be easily accessible to the general public . The public cloud could also be less reliable since it is open to everyone e.g. Email. A private cloud allows systems and services to be accessible inside an organization with no access to outsiders. It offers better security due to its access restrictions. A hybrid cloud is a mixture of private and public clouds with critical activities being performed using the private cloud and non-critical activities being performed using the public cloud. Community cloud allows systems and services to be accessible by a group of organizations.

10. Cloud Security

Since the number of companies and organizations using cloud computing is increasing at a rapid rate, the security of the cloud is a major concern. Cloud computing security detects and addresses every physical and logical security issue that comes across all the varied service models of code, platform, and infrastructure. It collectively addresses these services, however, these services are delivered in units, that is, the public, private, or hybrid delivery model. Security in the cloud protects the data from any leakage or outflow, theft, calamity, and removal. With the help of tokenization, Virtual Private Networks , and firewalls , data can be secured.

11. Serverless Computing

Serverless computing is a way of running computer programs without having to manage the underlying infrastructure. Instead of worrying about servers, networking, and scaling, you can focus solely on writing code to solve your problem. In serverless computing, you write small pieces of code called functions. These functions are designed to do specific tasks, like processing data, handling user requests, or performing calculations. When something triggers your function, like a user making a request to your website or a timer reaching a certain time, the cloud provider automatically runs your function for you. You don’t have to worry about setting up servers or managing resources.

12. Cloud-Native Applications

Modern applications built for the cloud , also known as cloud-native applications , are made so to take full advantage of cloud computing environments . Instead of bulky programs like monolithic systems , they’re built to prioritize flexibility , easy scaling , reliability , and constant updates . This modular approach allows them to adapt to changing needs by growing or shrinking on demand, making them perfect for the ever-shifting world of cloud environments. Deployed in various cloud environments like public, private, or hybrid clouds, they’re optimized to make the most of cloud-native technologies and methodologies . Instead of one big chunk, they’re made up of lots of smaller pieces called microservices .

13. Multi-Cloud Management

Multi-cloud management means handling and controlling your stuff (like software, data, and services) when they’re spread out across different cloud companies, like Amazon, Google, or Microsoft. It’s like having a central command center for your cloud resources spread out across different cloud services. Multi-cloud gives you the freedom to use the strengths of different cloud providers. You can choose the best service for each specific workload, based on factors like cost, performance, or features. This flexibility allows you to easily scale your applications up or down as required by you. Managing a complex environment with resources spread across multiple cloud providers can be a challenge. Multi-cloud management tools simplify this process by providing a unified view and standardized management interface.

14. Blockchain in Cloud Computing

Cloud computing provides flexible storage and processing power that can grow or shrink as needed. Blockchain keeps data secure by spreading it across many computers. When we use them together, blockchain apps can use the cloud’s power for big tasks while keeping data safe and transparent. This combo boosts cloud data security and makes it easy to track data. It also lets people manage their identities without a central authority. However, there are challenges like making sure different blockchain and cloud systems work well together and can handle large amounts of data.

15. Cloud-Based Internet of Things (IoT)

Cloud-based Internet of Things (IoT) refers to the integration of cloud computing with IoT devices and systems. This integration allows IoT devices to leverage the computational power, storage, and analytics capabilities of cloud platforms to manage, process, and analyze the vast amounts of data they generate. The cloud serves as a central hub for connecting and managing multiple IoT devices, regardless of their geographical location. This connectivity is crucial for monitoring and controlling devices remotely.

Also Read Cloud computing Research challenges 7 Privacy Challenges in Cloud Computing Difference Between Cloud Computing and Fog Computing

Cloud computing has helped businesses grow by offering greater scalability , flexibility , and saving money by charging less money for the same job. As cloud computing is having a great growth period right now, it has created lots of employment opportunities and research work is done is different areas which is changing the future of this technology. We have discussed about the top 15 cloud computing research topics . You can try to explore and research in these areas to contribute to the growth of cloud computing technology .

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Cloud Computing Research Topics: Exploring the Future of Technology

Cloud computing has irreversibly changed the way business, research and even ordinary individuals manage data and computing resources. Cloud computing as a service on demand over internetworks has enabled it to be one of the essential technological breakthroughs. The role of cloud computing extends from supporting the operation of small enterprises to conducting multi-node scientific computations. Therefore, there is continual progress in this domain and the emergence of inciting questions that require further research. This means that this blog provides interesting Cloud Computing Research Topics and has the possibility of defining its future.

Significance of Research in Cloud Computing

Table of Contents

To be more precise, it is not only about technology but rather a whole ecosystem that accelerates change, boosts internationalization, and forms the basis for the development of today’s digital world. Thus, investigating prompts this area to meet the needs of the present, reveal new prospects, and define the development of technology. Here’s why research in cloud computing is indispensable:

 1. Enhancing Efficiency

Optimizing Resource Utilization: Research on various algorithms, load balancing, scheduling, and virtualization techniques is being encouraged to achieve the efficient utilization of computing resources.

Cost Reduction: Technologies help keep expenses down yet enable cloud suppliers to deliver efficient service.

Performance Improvement: Research investigates how to reduce the latency problem, how best to allocate and optimize bandwidth use, and how to improve overall system performance to guarantee user satisfaction.

2. Ensuring Security

Addressing Vulnerabilities: As cyber threats advance, research is relevant to establish future threats and risks that might exist in cloud systems.

Data Protection: The emphasis is made on the most recent encryption algorithms, safe procedures for authentication, and privacy solutions for data protection.

Compliance with Regulations: With regulations such as GDPR and CCPA growing in recent years, research contributes to the creation of systems that implement regulations.

Threat Detection and Prevention: AI research brings insights into preventive measures to counter security threats within the shortest possible time to make cloud services trustworthy.

3. Driving Sustainability

Eco-Friendly Solutions: With the growing energy requirement, investigations on green computing focus on efficient means of utilizing renewable sources of energy and constructing energy-efficient data center designs.

Carbon Footprint Reduction: Research is being conducted on producing data center architectures that could be carbon-zero, which would help signify climate change reversal strategies.

Optimized Hardware Utilization: Efficient Hardware Configurations reduce wastage and prolong the physical infrastructure life cycle through research.

Innovations in Cooling Technologies: Criticizing the high levels of energy consumed in cooling systems, research highlights efficient cooling practices, including liquid cooling and AI-integrated cooling systems.

4. Expanding Use Cases

Edge Computing: Research is being done to combine cloud and edge computing to lower latency and enable real-time processing, for instance, in IoTs and automobiles.

Hybrid Cloud Models: New research provides the necessary intermediate step between private and public clouds to facilitate data movement and also enhance flexibility.

Serverless Architectures: Research in serverless computing concentrates on improving functions as a service (FaaS) to enable developers to upload code without concerns about infrastructure.

Industry-Specific Solutions: Discover how cloud computing is fine-tuned to focus on specific industry requirements in fields such as healthcare, finance, education and entertainment.

5. Backing New Technologies

Artificial Intelligence (AI) and Machine Learning (ML): Studies look at how the cloud’s capacity for training and deploying models and inferencing can be made faster.

Blockchain Integration: Research is underway to integrate cloud computing with blockchain to improve security, privacy and decentralization.

Quantum Computing: Scientists are investigating how quantum cloud services might disrupt hard-solvable problems in computation in fields such as cryptology and material chemistry.

5G and Cloud Synergy: Ongoing research to align cloud services with the capacity of 5G networks indicates the potential of the new connection for applications that need low latency, including augmented Reality/Virtual Reality, remote surgeries, and immersive gaming.

6. Increasing Interoperability & Use of Standards

Cross-Platform Compatibility: The coordination of multi-cloud functions and operations is achieved by standards and frameworks for which research is imperative.

Data Portability: Thus, work is done to develop tools for a seamless transition of data and applications from one cloud provider to another.

Open-Source Contributions: Scholarly work promotes the creation of free-source tools and platforms that enhance cloud solutions for organizations that need them.

100+ Cloud Computing Research Topics

General topics.

• Analysis of cloud computing technology development
• Analyzing public, private and hybrid cloud models
• Challenges and Trends of Cloud Computing
• Opportunities and risks of embracing the cloud for the small business
• Cloud computing: A perspective from industries outside information technology
• The Future of Cloud Computing in Developing Countries
• Effects of the cloud on data centers
• First and foremost, what role does Cloud computing play in the Internet of Things (IoT)?
• The adaptation of cloud computing in education integration
• Security solutions with regard to scalability in a cloud environment

Security and Privacy

• Increasing the level of protection of data in the use of cloud computing.
• The privacy issues related to a multi-tenant cloud environment
• Domain identification of threats in cloud technology.
• Choosing a storage pattern that is secure for the cloud
• Cryptographic systems in cloud computing security
• The impacts of compliance to regulation in cloud computing
• Semiotic subsidies for application security in clouds
• Managing insider risks to cloud services
• Identification and authentication in cloud computing
• Safe movement of data to the cloud solution

Artificial Intelligence, as well as Cloud Computing

• Integration of Artificial Intelligence and cloud computing
• Machine learning as an internet-based cloud offering
• Computerized natural language processing systems that are hosted on the cloud
• Making it easier to rework training models geared to AI with cloud scaling
• Preprocessing of the data for usage in AI on cloud platforms
• Cloud service intelligent optimization
• Cloud computing for automotive autonomous systems
• Live streaming supported by cloud and Artificial Intelligence
• Issues of ethical concern when using cloud-hosted AI systems
• The following text examines how Artificial Intelligence managed to influence cloud infrastructure through automation processes.

Big Data and Cloud Computing

• Cloud computing for big data analytic
• Remote storage of data, commonly called the cloud
• Managing real-time big data applications and processing in a cloud environment
• The place of cloud computing in data visualization
• The subsequent section focuses on cost-effective solutions for big data through cloud computing.
• How can Hadoop be integrated with cloud platforms?
• Use of cloud solutions for data analytical approaches of predictive analytics.
• Improving data lakes with cloud solutions
• Remote-managed solutions for the governance of data
• Databases distributed over the cloud

Edge Computing and Cloud Integration

• Integration of edge computing and cloud-based computing
• Lowering the latency through the collaboration between edge and cloud Cluster
• Real-time use cases of integration of edge and cloud.
• Pain points associated with edge cloud design
• One of the biggest challenges that relate to edge-cloud networks is security.
• Optimized for edge computing in the cloud
• A Review on the Smart Cities Applied Edge Computing by Means of Cloud Resources
• Internet of Things edge device cloud support
• In decentralized computing solutions, edge-cloud systems have gained popularity.
• This means the cloud with the incorporation of edge computing through AI.

Cloud Service Models

• New directions in Software-as-a-Service (SaaS)
• From where do the Platform-as-a-Service (PaaS) solutions extend into the future?
• Issue of IaaS cost optimization strategies
• A critical comparison between SaaS, PaaS, and IaaS
• Microservices, containers, orchestration, serverless computing and Function-as-a-Service (FaaS)
• Flexibility in the PaaS application for enterprise applications
• The use of cloud services in healthcare industries
• Disaster recovery in the cloud for your business
• Solutions for selling in the cloud to online businesses
• Vertical high software application offerings that are narrowly specific

The management and Automation of clouds

• Cloud resource management and optimization involve managing data resources as well as an organization’s internal resources.
• Cloud or Cloud Infrastructure Automation Tools
• Kubernetes for decentralized, centralized controlling of the cloud-based container applications.
• Multi-cloud management, key strategies
• Different scaling mechanisms in a cloud context
• The paper discusses balancing mechanisms at the cloud workload layer.
• This discussion is about cost management in cloud platforms.
• Automated repair in a cloud environment
• Cloud monitoring and alerting systems
• Optimizing Cloud Performance Using Automation

Blockchain and Cloud Computing.

• This paper aims to develop and implement blockchain-based security in cloud systems.
• Scalability of blockchain through cloud computing
• The symbiosis of blockchain and a cloud for using applications
• Blockchain-Based Approaches to Ensure the Data Security of SaaS Platforms
• Role of Smart Contracts in Cloud Services
• Some of the most discussed ones are Blockchain-as-Service (BaaS) platforms
• I-DaaS (Integrated Distributed cloud storage with Blockchain)
• Intercloud solutions based on blockchain technology
• Technologies of blockchain in the cloud for security and privacy protection.
• Concerns about crypto assets and enhancement of cloud services.

Emerging Technologies and Cloud Computing

• Applications of quantum computing in a cloud context
• The relationships of 5G with cloud services.
• AR/VR as part of cloud computing
• Cloud-powered digital twins
• The use of cloud computing in smart farming
• Cloud adoption in the gaming business
• Sensors and cameras for figuring out the actual surroundings of autonomous vehicles
• Supply chains that are addressed with the adoption of cloud usage.
• Tips and advice on utilizing cloud services in order to improve the from-home environment
• Development of multiple experiences on clouds

Scholars’ and Research-Related Topics

• Research on the comparison of different cloud platforms for academic researchers
• Effect of cloud computing on scientific simulative computation
• Doing cloud computing in bioinformatics
• HPC in the cloud
• Education as a Service using Cloud Platforms
• Difficulties of conducting research with cloud in collaboration
• This is cloud computing adoption for a disaster management research project.
• Cloud computing cost optimization strategy for academic institutions.
• Free cloud computing platforms for academia
• Use of cloud-based research data sharing.

Future Directions in Cloud Computing

• Autonomous cloud systems
• The Role of Cloud Computing for the Metaverse
• The growth rate for different types of cloud-native application development
• Green strategies and approaches to cloud computing
• Forecasting the next trends of cloud computing

These topics will allow students and researchers to grasp numerous aspects of cloud computing, from the technical to the applied and foster change in this constantly growing sector.

Cloud computing is revolutionizing industries, research levels and even individuals’ daily lives. Thus, as the demand for wearable technology grows, the requirement for technology-enhanced research in fields such as security, compatibility with other innovations, eco-friendliness, and domain-specific benefits increases even more. 

The more than 100 topics listed above are examples, and they show the endless possibilities of cloud computing. No matter if you are a student, researcher, or industry practitioner, exploring these areas can be insightful as well as help in the progress of this fast-paced field. The need to adopt cloud computing research goes beyond having a solution to the existing problems, but a more intelligent world where cloud computing results form the foundation.

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Future of cloud computing: 5 insights from new global research

Carol Carpenter

VP of Cloud Product Marketing

Research shows that cloud computing will transform every aspect of business, from logistics to customer relationships to the way teams work together, and today’s organizations are preparing for this seismic shift. A new report from Google on the future of cloud computing combines an in-depth look at how the cloud is shaping the enterprise of tomorrow with actionable advice to help today’s leaders unlock its benefits. Along with insights from Google luminaries and leading companies, the report includes key findings from a research study that surveyed 1,100 business and IT decision-makers from around the world. Their responses shed light on the rapidly evolving technology landscape at a global level, as well as variations in cloud maturity and adoption trends across individual countries. Here are five themes that stood out to us from this brand-new research.

1. Cloud computing will move to the forefront of enterprise technology over the next decade, backed by strong executive support.

Globally, 47 percent of survey participants said that the majority of their companies’ IT infrastructures already use public or private cloud computing. When we asked about predictions for 2029, that number jumped 30 percentage points. C-suite respondents were especially confident that the cloud will reign supreme within a decade: More than half anticipate that it will meet at least three-quarters of their IT needs, while only 40 percent of their non-C-suite peers share that view. What’s the takeaway? The cloud already plays a key role in enterprise technology, but the next 10 years will see it move to the forefront—with plenty of executive support. Here’s how that data breaks down around the world.

2. The cloud is becoming a significant driver of revenue growth.

Cloud computing helps businesses focus on improving efficiency and fostering innovation, not simply maintaining systems and status quos. So it’s not surprising that 79 percent of survey respondents already consider the cloud an important driver of revenue growth, while 87 percent expect it to become one within a decade. C-suite respondents were just as likely as their non-C-suite peers to anticipate that the cloud will play an important role in driving revenue growth in 2029. This tells us that decision-makers across global organizations believe their future success will hinge on their ability to effectively apply cloud technology.

3. Businesses are combining cloud capabilities with edge computing to analyze data at its source.

Over the next decade, the cloud will continue to evolve as part of a technology stack that increasingly includes IoT devices and edge computing, in which processing occurs at or near the data’s source. Thirty-three percent of global respondents said they use edge computing for a majority of their cloud operations, while 55 percent expect to do so by 2029. The United States lags behind in this area, with only 18 percent of survey participants currently using edge computing for a majority of their cloud operations, but that figure grew by a factor of 2.5 when respondents looked ahead to 2029. As more and more businesses extend the power and intelligence of the cloud to the edge, we can expect to see better real-time predictions, faster responses, and more seamless customer experiences.

4. Tomorrow’s businesses will prioritize openness and interoperability.

In the best cases, cloud adoption is part of a larger transformation in which new tools and systems positively affect company culture. Our research suggests that businesses will continue to place more value on openness over the next decade. By 2029, 41 percent of global respondents expect to use open-source software (OSS) for a majority of their software platform, up 14 percentage points from today. Predicted OSS use was nearly identical between IT decision-makers and their business-oriented peers, implying that technology and business leaders alike recognize the value of interoperability, standardization, freedom from vendor lock-in, and continuous innovation.

5. On their journey to the cloud, companies are using new techniques to balance speed and quality.

To stay competitive in today’s streaming world, businesses face growing pressure to innovate faster—and the cloud is helping them keep pace. Sixty percent of respondents said their companies will update code weekly or daily by 2029, while 37 percent said they’ve already adopted this approach. This tells us that over the next 10 years, we’ll see an uptick in the use of continuous integration and delivery techniques, resulting in more frequent releases and higher developer productivity.

As organizations prepare for the future, they will need to balance the need for speed with maintaining high quality. Our research suggests that they’ll do so by addressing security early in the development process and assuming constant vulnerability so they’re never surprised. More than half of respondents said they already implement security pre-development, and 72 percent plan to do so by 2029.

Cloud-based enterprises will also rely on automation to maintain quality and security as their operations become faster and more continuous. Seventy percent of respondents expect a majority of their security operations to be automated by 2029, compared to 33 percent today.

Our Future of Cloud Computing report contains even more insights from our original research, as well as a thorough analysis of the cloud’s impact on businesses and recommended steps for unlocking its full potential. You can download it here .

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