Task Containerization and Container Placement Optimization for MEC: A Joint Communication and Computing Perspective
Ao Liu, Shaoshi Yang, Jing-Sheng Tan, Zong-qiang Liang +3
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70% confidenceThe paper proposes a workflow-based mathematical model for MEC applications, addressing communication overhead and resource imbalances through joint task-containerization-and-container-placement methods.
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Abstract
Containers are used by an increasing number of Internet service providers to deploy their applications in multi-access edge computing (MEC) systems. Although container-based virtualization technologies significantly increase application availability, they may suffer expensive communication overhead and resource use imbalances. However, so far there has been a scarcity of studies to conquer these difficulties. In this paper, we design a workflow-based mathematical model for applications built upon interdependent multitasking composition, formulate a multi-objective combinatorial optimization problem composed of two subproblems—graph partitioning and multi-choice vector bin packing, and propose several joint task-containerization-and -container-placement methods to reduce communication overhead and balance multi-type computing resource utilization. The performance superiority of the proposed algorithms is demonstrated by comparison with the state-of-the-art task and container scheduling schemes.
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- 2023