Efficient Hybrid Task Offloading Scheme for Edge Computing in Dynamic Environments 


Vol. 47,  No. 12, pp. 2086-2095, Dec.  2022
10.7840/kics.2022.47.12.2086


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  Abstract

This paper proposes a hybrid task offloading scheme using two types of offloading path. This intended to improve task offloading performance by parallel processing data by additionally introducing UAV-based edge servers to the base station-based network structure. And this has a structure in which tasks are divided according to weights and processed by local, UAV, and base station servers to satisfy the deadline of the mobile device. In this paper, the total running execute time is calculated by the problem formula according to the air/ground path. This paper also proposed a Greedy algorithm with a discovery process and weights to minimize problem formulas. As a result of the simulation, it was confirmed that the total execution time was improved by about 29% when the proposed scheme was used.

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[IEEE Style]

S. Jung, M. Jang, W. Kim, J. Lee, J. Lee, D. Kim, "Efficient Hybrid Task Offloading Scheme for Edge Computing in Dynamic Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 12, pp. 2086-2095, 2022. DOI: 10.7840/kics.2022.47.12.2086.

[ACM Style]

So-hyang Jung, Min-hui Jang, Woo-young Kim, Jae-ho Lee, Jae-min Lee, and Dong-seong Kim. 2022. Efficient Hybrid Task Offloading Scheme for Edge Computing in Dynamic Environments. The Journal of Korean Institute of Communications and Information Sciences, 47, 12, (2022), 2086-2095. DOI: 10.7840/kics.2022.47.12.2086.

[KICS Style]

So-hyang Jung, Min-hui Jang, Woo-young Kim, Jae-ho Lee, Jae-min Lee, Dong-seong Kim, "Efficient Hybrid Task Offloading Scheme for Edge Computing in Dynamic Environments," The Journal of Korean Institute of Communications and Information Sciences, vol. 47, no. 12, pp. 2086-2095, 12. 2022. (https://doi.org/10.7840/kics.2022.47.12.2086)
Vol. 47, No. 12 Index