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EMERGING TECHNOLOGIES AND TRENDS IN CLOUD COMPUTING

Deepali Gupta, Kamali Gupta, Naresh Kumar

Abstract


With invent of IoT technologies, it is easier to connect people residing at geographically distant locations for information exchange. The ease in sharing of data across global boundaries has led to increased mooring of traffic for extracting services that are IT based. This has presented challenges before providers of these services to cope up with user expectations. Therefore, with emergence of cloud in the market, the models of fog and edge computing necessitates delivery of solutions that can cater heterogeneous user needs without constraints of latency and time-sensitive ser-vice delivery. It becomes imperative in such a scenario to offer viable solutions in the direction of provisioning security mechanisms to put a constraint on unauthorized user access to such services. Hence, technologies like multi-access edge computing (MEC) and cloudlet plays a vital role in comprehending security critical solutions. Therefore, the focus of this paper has been directed to discuss such emerging technologies pertaining to implementations in cloud that are capable of increasing confidence of user in distributed paradigm.

Keywords


Fog Computing, Edge Computing, Multi-access Edge Computing Cloud Computing, Internet of Things, Mobile Edge Computing and Cloudlet

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References


OpenEdgeConsortium. About - the who, what, and how. [Online]. http://openedgecomputing.org/about.Html 2019, Technical Report, OpenEdge Computing, April 2019.

https://www.nist.gov/news-events/news/2011/10/final-version-nist-cloud-computing-definition-published, March 2019.

https://www.cloudcomputing-news.net/news/2018/mar/01/cloud-yesterday-today-and-tomorrow-and-influence-emerging-technologies/2019, April 2019.

Hoang T Dinh, Chonho Lee, Dusit Niyato, and Ping Wang. A survey of mobile cloud computing: architecture, applications, and approaches. Wireless communications and mo-bile computing, 13(18):1587–1611, 2013.

NIST. Mobile cloud computing. [Online]. Available: 2019 https://www.nist.gov/programs-projects/mobile-cloud-computing, Technical Report, Na-tional Institute of Standards and Technology, April 2019.

Ju Ren, Yaoxue Zhang, Kuan Zhang, and Xuemin Shen. Exploiting mobile crowdsourcing for pervasive cloud services: challenges and solutions. IEEE Communications Maga-zine, 53(3):98–105, 2015.

https://www.infoworld.com/article/3234646/3-emerging-cloud-technologies-for-enterprise.html/2019, March 2019.

Muhammad Shiraz, Abdullah Gani, Rashid Hafeez Khokhar, and Rajkumar Buyya. A re-view on distributed application processing frameworks in smart mobile devices for mobile cloud computing. IEEE Communications Surveys & Tutorials, 15(3):1294–1313, 2013.

Mahadev Satyanarayanan, Paramvir Bahl, Ramón Caceres, and Nigel Davies. The case for vm-based cloudlets in mobile computing. IEEE pervasive Computing,8(4), 2009.

J-P Hubaux, Thomas Gross, J-Y Le Boudec, and Martin Vetterli. Toward self-organized mobile ad hoc networks: the terminodes project. IEEE Communications Magazine, 39(1):118–124, 2001.

https://iiht.com/blog/emerging-technologies-in-cloud-computing/2019, April 2019.

https://en.wikipedia.org/wiki/Amazon_Alexa/2019, April 2019.

Kamali Gupta and Vijay Katiyar. Energy Aware Virtual Machine Migration Techniques for Cloud Environment. International Journal of Computer Applications 141(2):11-16, May 2016.




DOI: http://dx.doi.org/10.6084/ijact.v8i5.938

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