HWOA: an intelligent hybrid whale optimization algorithm for multi-objective task selection strategy in edge cloud computing system-Reference-Cited by-同舟云学术

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HWOA: an intelligent hybrid whale optimization algorithm for multi-objective task selection strategy in edge cloud computing system

Published:2022-09 Issue:5 Volume:25 Page:2265-2295
ISSN:1386-145X
Container-title:World Wide Web
language:en
Short-container-title:World Wide Web

Author:

Kang Yan,Yang Xuekun,Pu Bin,Wang Xiaokang,Wang Haining,Xu Yulong,Wang Puming

Funder

National Natural Science Foundation of China

Open Foundation of the Key Laboratory in Software Engineering of Yunnan Province

Major Science and Technology Project of Precious Metal Materials Genome Engineering in Yunnan Province

Major Science and Technology Projects in Yunnan Province

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Link

https://link.springer.com/content/pdf/10.1007/s11280-022-01082-7.pdf

Reference65 articles.

1. Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K.B.: A survey on mobile edge computing: the communication perspective. IEEE Commun. Surv. Tutor. 19(4), 2322–2358 (2017)

2. Shi, W., Jie, C., Quan, Z., Li, Y., Xu, L.: Edge computing: vision and challenges. IEEE Internet Things J. 3(5), 637–646 (2016)

3. Kong, L., Wang, L., Gong, W., Yan, C., Duan, Y., Qi, L.: Lsh-aware multitype health data prediction with privacy preservation in edge environment. World Wide Web:1–16 (2021)

4. Cen, C., Li, K., Ouyang, A., Zeng, Z., Li, K.: Gflink: an in-memory computing architecture on heterogeneous cpu-gpu clusters for big data. IEEE Trans. Parallel Distrib. Syst. 29(6), 1275–1288 (2018)

5. Wang, X., Yang, L. T., Wang, Y., Ren, L., Deen, M.J.: Adtt: a highly efficient distributed tensor-train decomposition method for iiot big data. IEEE Trans. Industr. Inform. 17(3), 1573–1582 (2021)

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