A Task Orchestration Strategy in a Cloud-Edge Environment Based on Intuitionistic Fuzzy Sets

Chunmei Huang, Bingbing Fan () and Chunmao Jiang
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Chunmei Huang: School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China
Bingbing Fan: School of Computer Science and Information Engineering, Harbin Normal University, Harbin 150025, China
Chunmao Jiang: School of Computer Science and Mathematics, Fujian University of Technology, Fuzhou 350118, China

Mathematics, 2023, vol. 12, issue 1, 1-16

Abstract: In the context of the burgeoning cloud-edge collaboration paradigm, powered by advancements in the Internet of Things (IoT), cloud computing, and 5G technology, this paper proposes a task orchestrating strategy for cloud-edge collaborative environments based on intuitionistic fuzzy sets. The proposed strategy prioritizes efficient resource utilization, minimizes task failures, and reduces service time. First, WAN bandwidth, edge server virtual machine utilization, delay sensitivity of the task, and task length are used to determine whether the task should be executed on the cloud or edge device. Then, the cloud-edge collaborative decision-making algorithm is used to select the task’s target edge servers (either the local edge servers or the neighboring edge servers). Finally, simulation experiments are conducted to demonstrate the effectiveness and efficacy of the proposed algorithm.

Keywords: edge computing; task orchestration; intuitionistic fuzzy sets; fuzzy inference; membership function; non-membership function (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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