A Study of Task Offloading in Mobile Cloud Computing
Abstract & Details
Research Area
COMPUTER SCIENCE
Keywords
Cloud computing
Mobile cloud computing
Computational offloading
Algorithms
Partitioning
Abstract
Despite the evolution and enhancements that mobile devices have experienced, they are still considered as limited computing devices. Today, users become more demanding and expect to execute computational intensive applications on their smartphone devices. Therefore, Mobile Cloud Computing (MCC) integrates mobile computing and Cloud Computing (CC) in order to extend capabilities of mobile devices using offloading techniques. Computation offloading tackles limitations of Smart Mobile Devices (SMDs) such as limited battery lifetime, limited processing capabilities, and limited storage capacity by offloading the execution and workload to other rich systems with better performance and resources. This paper presents the current offloading frameworks, computation offloading techniques, and analyzes them along with their main critical issues. In addition, it explores different important parameters based on which the frameworks are implemented such as offloading method and level of partitioning. Finally, it summarizes the issues in offloading frameworks in the MCC domain that requires further research.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Sai Vamsidhar Rao V | Research Scholar of Sri Satya Sai University of Technology & Medical Sciences, Sehore, M.P., India. |
| 2 | Dr. Neeraj Sharma | Research Supervisor of Sri Satya Sai University of Technology & Medical Sciences, Sehore, M.P., India. |
How to Cite
Use the following formats to cite this article in your research.
APA Style
V, Sai Vamsidhar Rao & Sharma, Dr. Neeraj (2021). A Study of Task Offloading in Mobile Cloud Computing. International Journal of Advance Research and Innovative Ideas In Education, 4(1), 1367-1373.
MLA Style
V, Sai Vamsidhar Rao, and Dr. Neeraj Sharma. "A Study of Task Offloading in Mobile Cloud Computing." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 1, 2021, pp. 1367-1373.
IEEE Style
Sai Vamsidhar Rao V and Dr. Neeraj Sharma, "A Study of Task Offloading in Mobile Cloud Computing," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 1, pp. 1367-1373, 2021.
Vancouver Style
V Sai Vamsidhar Rao, Sharma Dr. Neeraj. A Study of Task Offloading in Mobile Cloud Computing. International Journal of Advance Research and Innovative Ideas In Education. 2021;4(1):1367-1373.
Harvard Style
V, Sai Vamsidhar Rao & Sharma, Dr. Neeraj (2021) 'A Study of Task Offloading in Mobile Cloud Computing', International Journal of Advance Research and Innovative Ideas In Education, 4(1), pp. 1367-1373.
Chicago Style
V, Sai Vamsidhar Rao and Dr. Neeraj Sharma. "A Study of Task Offloading in Mobile Cloud Computing." International Journal of Advance Research and Innovative Ideas In Education 4, no. 1 (2021): 1367-1373.
Turabian Style
V, Sai Vamsidhar Rao and Dr. Neeraj Sharma. "A Study of Task Offloading in Mobile Cloud Computing." International Journal of Advance Research and Innovative Ideas In Education 4, no. 1 (2021): 1367-1373.
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