Code360 powered by Coding Ninjas X Code360 powered by Coding Ninjas X
Table of contents
Cloud Computing
Frequently Asked Questions
Last Updated: Mar 27, 2024

Cloud Computing Research Challenges

Master Python: Predicting weather forecasts
Ashwin Goyal
Product Manager @


In this article, we discuss the challenges faced in cloud computing research.

Cloud computing has recently attracted a lot of interest as a possible method of delivering information and communication technology (ICT) services. Computing resources have grown cheaper, more powerful, and more widely available than ever before, thanks to rapid advancements in processor and storage technology and the sensation of the Internet. This technical development has resulted in developing a new computer model known as cloud computing. On-demand resources such as CPU and storage are available to consumers via the internet as generic utilities. Infrastructure providers, who oversee cloud platforms and lease resources on a pay-per-use basis, and service providers, who rent resources from more infrastructure providers to serve end customers, are the two types of traditional cloud computing service providers.

Cloud Computing

Cloud computing has made a significant impact on the Information Technology (IT) industry in recent years, with large companies such as Google, IBM, Amazon, and Microsoft battling to provide more robust, reliable, and cost-effective cloud platforms and businesses seeking new paradigms in their business models. Indeed, cloud computing has appealing characteristics for business owners, including lower up-front investment, lower operational costs, high scalability, easy access, and reduced business risks and maintenance costs.

Now we explain the ten research challenges faced in cloud computing-

  1. Portability- The ability to move an application and its data from one location to another is portability. It might be possible to limit reliance on the underlying atmosphere. A portable component (application, data) can be moved and reprocessed regardless of the provider, platform, operating system, location, storage, etc. For example, if the old cloud environment is Windows and the new cloud environment is Linux, an application running on the old cloud can run on the latest cloud without being changed.
  2. Creating a new architecture — Practically, all cloud computing services are housed in massive commercial data centers and centralized. This design method offers several advantages, such as economies of scale and excellent manageability, but it also has significant drawbacks. The majority of researchers favor leveraging intended resources to host cloud applications. This cloud computing approach, in which voluntary resources, or a combination of dedicated and voluntary resources, is quite sensible and well suited to applications such as scientific computing. However, despite its benefits, this architecture faces open research issues, including heterogeneous resource management and an incentive system for such architecture.
  3. Limited scalability – Cloud computing service providers offer customers indefinite scalability. Still, this promise has yet to be fulfilled because millions of users are now migrating to cloud computing. The availability and scalability challenges present another research field for the researcher to explore to identify the best answer to these issues.
  4. Lack of standards - Each cloud service provider has its means. The user does not have access to a comparative performance measuring tool to compare the standards and performance of different clouds using a cost per service metric. The need for cloud computing to be standardized is still present.
  5. Security of Privacy-Customers' security concerns is the biggest impediment to the rapid adoption of cloud computing. While the likelihood of security issues has decreased due to the availability of contemporary protection solutions, when worms and hackers target a system, chaos is caused in hours. Applications and architectures must be private, and those security mechanisms are relevant, dynamic, and adaptable. Other possible study areas in cloud computing include trust and privacy.
  6. Reliability - When it comes to the availability of a connection to the cloud network, it becomes a problem. End-user is unsure if he will remain connected to the cloud network and will resume work if the connection is disrupted. Links to cloud services are secure or not, and data is moved to cloud computing in a safe environment and at the appropriate speed. Is the cloud itself secure enough to migrate to? As a result, trustworthiness is a problem.
  7. Governance — To manage and bring authority to cloud computing, many governments began providing cloud services utilizing their data centers. To tackle this problem, governments, organizations, and users must collaborate.
  8. Metering - Cloud service administrators must track and measure their services' performance. Services providers must provide tools for measuring and monitoring their services against standards.
  9. Energy management - Managing various resources across a distributed computer system is a precondition of cloud computing. All of these resources are "always on." If this is the case, it is exceedingly inefficient in energy use. A lot of research has gone into designing energy-efficient equipment and using that equipment to build energy-efficient data centers.
  10. Denial of service (DoS) in cloud computing is another rising topic and a challenge that academics are dealing with. Cloud computing allows for dynamic resource allocation, but how would the cloud react if subjected to a large-scale denial-of-service attack? Is a Denial of Service protection built into the cloud necessary, or will it be handled at the internet level as it is now? Another challenge for the researcher arises as a result of this.
Get the tech career you deserve, faster!
Connect with our expert counsellors to understand how to hack your way to success
User rating 4.7/5
1:1 doubt support
95% placement record
Akash Pal
Senior Software Engineer
326% Hike After Job Bootcamp
Himanshu Gusain
Programmer Analyst
32 LPA After Job Bootcamp
After Job

Frequently Asked Questions

1. What are the most significant problems in cloud computing?

Cloud computing's main difficulty is an information security and privacy. Encryption, security hardware, and security software can all be used to address security and privacy concerns.

2.  What are three of cloud computing's benefits?

Cloud Computing Benefits: 
   - Data backup and restoration 
   - Improved collaboration
   - Excellent accessibility

3. What kind of companies are the most likely to gain from cloud computing, and why?

In light of this, the top five organizations that can gain the most from cloud computing.
  - Groups of marketers
  - Companies that lease shared office space 
  - Data Security Firms 
  - Global Corporations
  - Accountancy Firms.

4. In cloud computing, which of the following is a disadvantage?

Control Abandonment: The primary disadvantage of cloud computing security is the enterprise's loss of control over network security. The cloud service provider (CSP) and the enterprise share the responsibility for network security.


So that's the end of the article.

In this article, we have extensively discussed the challenges in Cloud Computing Research.

Isn't Machine Learning exciting!! We hope that this blog has helped you enhance your knowledge regarding Gradient Boosting Machine and if you would like to learn more, check out our articles on MACHINE LEARNING COURSE. Do upvote our blog to help other ninjas grow. Happy Coding!

Previous article
Cluster Computing
Next article
IaaS in Cloud Computing
Live masterclass