Essay: Virtualization And Cloud Computing: Introduction, Advantages, And Cloudlets.

Discuss About The Virtualization And Cloud Computing?

The Cloud Computing is a technology by which users can access their data and application from anywhere over the Internet.[1] The modern era of the computing has experienced drastic changes in the technological point of view.

This report deals with various aspects of cloud computing and the use of the cloudlets in cloud computing. The advantages of the cloudlets have been mentioned in the report.

This report outlines the effect of cloudlets on the cloud computing environment and the benefits of the cloudlets by increasing the performance and security.

Cloud Computing refers with configuring and accessing the data and application online.[2] Cloud Computing is a fundamental principle of reusability of the IT capabilities in the market.[3] This helps in storing data and information over the internet. Cloud Computing has helped in connecting millions of devices with each other in the world. The data and files can be accessed from anywhere in the place with the help of Internet.[4] Those help in providing flexibility to the user’s experience using cloud-computing services.[5]

The cloud computing has provided many opportunities to the technology in the market. Business organizations are implementing cloud computing in their operation management to analyses the behavior of the operations.[6] Cloud computing has enhanced the efficiency of the servers but not keeping them in the idle state.

Cloudlets are the mobile enhanced small-scale devices that help in supporting the cloud computing in the market.[7] The main purpose of the cloudlets is to support resources and mobile applications provided to the users in the market.[8] The smart phones and tablets have gained its importance in the modern world. These devices are acting as cloudlets for the users. The cloud computing services can be accessed from these smart phones with the help of internet.[9] The power of the CPU and RAM are the important factor in supporting cloud-computing services in these cloudlets.[10] Therefore, a cloudlet is a small data centre for the users to access their data and information stored in the cloud using the internet.

The goal of the cloudlet is to enhance the response time of the applications running on the mobile devices using the internet.[11] This also helps in increasing the latency of the mobile applications used for the cloud computing services.[12] The cloudlets act as a virtual machine in the mobile device that helps in supporting the cloud services online. The cloud computing has able to provide an efficient and low spectral efficiency to the users in the market.[13] The transformation of the fog computing to mobile edge computing has enhanced the technology of the cloudlets on the market.[14] The cloudlets have helped in advancing the cloud servers in anywhere in the world. These have helped cloud users to access cloud services anywhere and anytime. A cloudlet has helped in controlling, updating, and storing data in the cloud servers.

Cloudlet

There are various advantages of the cloudlet discussed below:

The cloudlets help in accessing the cloud computing services in the mobile devices. This has helped in the frequent use of the cloud services by the users. The latency of using cloud services has increased in these days.[15] These have also increased the cloud udders all over the words by providing cloud services. The cloudlets have reached to every mobile phone of the users enabling the use of the cloud services in the world. Therefore, the accessibility of the cloud services has smoothened in the market.[16]

Cloudlet has increased the security of the data and information stored in the cloud. The mobile device is a secured cloudlet that helps in securing the data and information on the internet.[17] There are various security systems installed in the mobile devices that help in maintaining the security. The cloudlet helps in enhancing the speed of the internet access by the users.[18] The security system of the cloudlet devices is upgraded to modern technology that helps in preventing the cyber attacks over the internet.

The cloudlet has helped in improving the cloud services in different fields. The Cloud foraging includes the dynamically augmenting of the computing resources in the mobile devices to fix the cloud proximity.[19] The Cloud foraging helps the cloud users to offload expensive processing applications including voice recognition and language translation. The cloudlet has channelized the cloud environment in many applications including the virtual machines in the mobile device. The On-Demand virtual machine is a provisioning tool to assemble the service of the VM during runtime.[20] The cloudlet has provided the benefit of the on-demand service of the cloud to the users by initiating the virtual machine concept in the mobile devices. The users can easily involve in the cloud environment to access their data and files.

Conclusion

It can be concluded that the cloud computing has enchanted the growth of the IT sector in the market. The cloud computing has enhanced the flexibility in accessing the data and information of the users over the internet. The cloudlets used in the cloud services have increased the efficiency of the cloud services. The cloudlets are the small data centre used by the user at their home or work place. The cloudlet has influenced the cloud services in many ways including enriching performance of the cloud servers and supporting cloud environment on the mobile devices. The virtual machine technology in the mobile devices has strengthened the cloudlets.

Advantages of Cloudlet

References

Almorsy, Mohamed, John Grundy, and Ingo Müller. "An analysis of the cloud computing security problem." arXiv preprint arXiv:1609.01107 (2016).

Botta, Alessio, Walter De Donato, Valerio Persico, and Antonio Pescapé. "Integration of cloud computing and internet of things: a survey." Future Generation Computer Systems 56 (2016): 684-700.

Carvalho, Glaucio HS, Isaac Woungang, Alagan Anpalagan, Muhammad Jaseemuddin, and Ekram Hossain. "Intercloud and HetNet for Mobile Cloud Computing in 5G Systems: Design Issues, Challenges, and Optimization." IEEE Network 31, no. 3 (2017): 80-89.

Chang, Victor, Yen-Hung Kuo, and Muthu Ramachandran. "Cloud computing adoption framework: A security framework for business clouds." Future Generation Computer Systems 57 (2016): 24-41..

Dinh, Hoang T., Chonho Lee, Dusit Niyato, and Ping Wang. "A survey of mobile cloud computing: architecture, applications, and approaches." Wireless communications and mobile computing 13, no. 18 (2013): 1587-1611.

Fernando, Niroshinie, Seng W. Loke, and Wenny Rahayu. "Mobile cloud computing: A survey." Future generation computer systems 29, no. 1 (2013): 84-106..

Flint, D., 2017. Storms Ahead for Cloud Service Providers. Business Law Review, 38(3), pp.125-126.

Gai, K., Qiu, M., Zhao, H., Tao, L. and Zong, Z.,. Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. Journal of Network and Computer Applications, 59, (2016): 46-54.

Jin, A.L., Song, W., Wang, P., Niyato, D. and Ju, P.,” Auction mechanisms toward efficient resource sharing for cloudlets in mobile cloud computing. IEEE Transactions on Services Computing”, 9(6), (2016): 895-909.

Liu, Yanchen, Myung J. Lee, and Yanyan Zheng. "Adaptive multi-resource allocation for cloudlet-based mobile cloud computing system." IEEE Transactions on Mobile Computing 15, no. 10 (2016): 2398-2410..

Lo'ai, A.T., Bakheder, W. and Song, H., 2016, June. A mobile cloud computing model using the cloudlet scheme for big data applications. In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2016 IEEE First International Conference on (pp. 73-77). IEEE.

Marozzo, Fabrizio, Domenico Talia, and Paolo Trunfio. "Implementing MapReduce Applications in Dynamic Cloud Environments." In Cloud Computing, pp. 211-223. Springer International Publishing, 2017.

Rittinghouse, John W., and James F. Ransome. Cloud computing: implementation, management, and security. CRC press, 2016.

Satyanarayanan, Mahadev, Phillip B. Gibbons, Lily Mummert, Padmanabhan Pillai, Pieter Simoens, and Rahul Sukthankar. "Cloudlet-based Just-in-Time indexing of IoT video." In Global IoT summit, pp. 1-8. 2017.

Shaukat, Usman, Ejaz Ahmed, Zahid Anwar, and Feng Xia. "Cloudlet deployment in local wireless networks: Motivation, architectures, applications, and open challenges." Journal of Network and Computer Applications 62 (2016): 18-40.

Sookhak, Mehdi, Abdullah Gani, Muhammad Khurram Khan, and Rajkumar Buyya. "Dynamic remote data auditing for securing big data storage in cloud computing." Information Sciences 380 (2017): 101-116.

Whaiduzzaman, Md, Anjum Naveed, and Abdullah Gani. "MobiCoRE: Mobile device based cloudlet resource enhancement for optimal task response." IEEE Transactions on Services Computing (2016).

Accessibility

Xia, Zhihua, Xinhui Wang, Liangao Zhang, Zhan Qin, Xingming Sun, and Kui Ren. "A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing." IEEE Transactions on Information Forensics and Security 11, no. 11 (2016): 2594-2608..

Xu, Zichuan, Weifa Liang, Wenzheng Xu, Mike Jia, and Song Guo. "Efficient algorithms for capacitated cloudlet placements." IEEE Transactions on Parallel and Distributed Systems 27, no. 10 (2016): 2866-2880.

Yan, Qiao, F. Richard Yu, Qingxiang Gong, and Jianqiang Li. "Software-defined networking (SDN) and distributed denial of service (DDoS) attacks in cloud computing environments: A survey, some research issues, and challenges." IEEE Communications Surveys & Tutorials 18, no. 1 (2016): 602-622.

Yao, Hong, Changmin Bai, Muzhou Xiong, Deze Zeng, and Zhangjie Fu. "Heterogeneous cloudlet deployment and user?cloudlet association toward cost effective fog computing." Concurrency and Computation: Practice and Experience 29, no. 16 (2017).

[1] Flint, D., 2017. Storms Ahead for Cloud Service Providers. Business Law Review, 38(3), pp.125-126.

[2] Jin, A.L., Song, W., Wang, P., Niyato, D. and Ju, P.,” Auction mechanisms toward efficient resource sharing for cloudlets in mobile cloud computing. IEEE Transactions on Services Computing”, 9(6), (2016): 895-909.

[3] Marozzo, Fabrizio, Domenico Talia, and Paolo Trunfio. "Implementing MapReduce Applications in Dynamic Cloud Environments." In Cloud Computing, pp. 211-223. Springer International Publishing, 2017.

[4] Marozzo, Fabrizio, Domenico Talia, and Paolo Trunfio. "Implementing MapReduce Applications in Dynamic Cloud Environments." In Cloud Computing, pp. 211-223. Springer International Publishing, 2017.

[5] Sookhak, Mehdi, Abdullah Gani, Muhammad Khurram Khan, and Rajkumar Buyya. "Dynamic remote data auditing for securing big data storage in cloud computing." Information Sciences 380 (2017): 101-116.

[6] Rittinghouse, John W., and James F. Ransome. Cloud computing: implementation, management, and security. CRC press, 2016.

[7] Yao, Hong, Changmin Bai, Muzhou Xiong, Deze Zeng, and Zhangjie Fu. "Heterogeneous cloudlet deployment and user?cloudlet association toward cost effective fog computing." Concurrency and Computation: Practice and Experience 29, no. 16 (2017).

[8] Almorsy, Mohamed, John Grundy, and Ingo Müller. "An analysis of the cloud computing security problem." arXiv preprint arXiv:1609.01107 (2016).

[9] Carvalho, Glaucio HS, Isaac Woungang, Alagan Anpalagan, Muhammad Jaseemuddin, and Ekram Hossain. "Intercloud and HetNet for Mobile Cloud Computing in 5G Systems: Design Issues, Challenges, and Optimization." IEEE Network 31, no. 3 (2017): 80-89

[10] Botta, Alessio, Walter De Donato, Valerio Persico, and Antonio Pescapé. "Integration of cloud computing and internet of things: a survey." Future Generation Computer Systems 56 (2016): 684-700.

[11] Whaiduzzaman, Md, Anjum Naveed, and Abdullah Gani. "MobiCoRE: Mobile device based cloudlet resource enhancement for optimal task response." IEEE Transactions on Services Computing (2016).

[12] Xia, Zhihua, Xinhui Wang, Liangao Zhang, Zhan Qin, Xingming Sun, and Kui Ren. "A privacy-preserving and copy-deterrence content-based image retrieval scheme in cloud computing." IEEE Transactions on Information Forensics and Security 11, no. 11 (2016): 2594-2608.

[13] Liu, Yanchen, Myung J. Lee, and Yanyan Zheng. "Adaptive multi-resource allocation for cloudlet-based mobile cloud computing system." IEEE Transactions on Mobile Computing 15, no. 10 (2016): 2398-2410

[14] Yan, Qiao, F. Richard Yu, Qingxiang Gong, and Jianqiang Li. "Software-defined networking (SDN) and distributed denial of service (DDoS) attacks in cloud computing environments: A survey, some research issues, and challenges." IEEE Communications Surveys & Tutorials 18, no. 1 (2016): 602-622.

[15] Chang, Victor, Yen-Hung Kuo, and Muthu Ramachandran. "Cloud computing adoption framework: A security framework for business clouds." Future Generation Computer Systems 57 (2016): 24-41.

[16] Gai, K., Qiu, M., Zhao, H., Tao, L. and Zong, Z.,. Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing. Journal of Network and Computer Applications, 59, (2016): 46-54.

[17] Shaukat, Usman, Ejaz Ahmed, Zahid Anwar, and Feng Xia. "Cloudlet deployment in local wireless networks: Motivation, architectures, applications, and open challenges." Journal of Network and Computer Applications 62 (2016): 18-40.

[18] Satyanarayanan, Mahadev, Phillip B. Gibbons, Lily Mummert, Padmanabhan Pillai, Pieter Simoens, and Rahul Sukthankar. "Cloudlet-based Just-in-Time indexing of IoT video." In Global IoT summit, pp. 1-8. 2017

[19] Lo'ai, A.T., Bakheder, W. and Song, H., 2016, June. A mobile cloud computing model using the cloudlet scheme for big data applications. In Connected Health: Applications, Systems and Engineering Technologies (CHASE), 2016 IEEE First International Conference on (pp. 73-77). IEEE

[20] Xu, Zichuan, Weifa Liang, Wenzheng Xu, Mike Jia, and Song Guo. "Efficient algorithms for capacitated cloudlet placements." IEEE Transactions on Parallel and Distributed Systems 27, no. 10 (2016): 2866-2880.