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Title |
Bibliometric Analysis of Computation Offloading in Fog Computing |
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Author |
Jyoti Yadav and Suman |
| Citation |
Vol. 25 No. 10 pp. 75-90 |
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Abstract |
After accepting IoT(Internet of Things) as a research trend, computation offloading is one of the promising solutions for resource-restricted and non-scalable mobile devices. Video processing, augmented reality, object tracking, and natural language processing are resource-intensive applications getting popular day by day. These applications cannot run properly on low-resource end devices. Computation offloading in fog Computing is a key technology that allows the execution of such applications with limited resources. On the other side, computation offloading task requests lowers the core networks’ communication pressure and minimizes long-distance data transmission latency. Businesses and academics are currently doing lots of research on computation offloading strategies and methodologies in the fog computing environment. Researchers have published many review papers. However, no bibliometric analysis has been done to assess the popularity of computation offloading in the fog computing environment. This paper provides a bibliometric analysis of computation offloading in fog computing, emphasizing how optimization techniques are used to solve offloading problems. The review results also presented the most popular optimization techniques for solving offloading problems in fog computing. The paper concludes with the interpretation of metaheuristic techniques and open issues of offloading problems. |
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Keywords |
Metaheuristic, Swarm Intelligence, Computation Offloading, Fog Computing, Bibliometric Analysis |
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