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Joint Offloading and Resource Allocation for Multi-User Multi-Edge Collaborative Computing System
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DOI：10.1109/TVT.2021.3139843.png)
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Abstract
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In this paper, we consider a computation offloading problem in a three-tier network consisting of multiple mobile users (MUs), multiple edge clouds, and a central cloud. On this basis, we formulate a system Energy Time Cost (ETC) minimization problem by jointly optimizing the resource allocation, mobile-edge matching decision, and offloading decision. Due to the difficulty of directly solving the formulated problem, we decompose it and propose two offloading algorithms, namely Gale-Shapley based Minimum/Sequential Offloading Algorithm (GS-MOA/GS-SOA), to optimize offloading decisions by minimizing the system ETC, in which the mobile-edge matching strategies based on the proposed Gale-Shapley based Mobile-Edge mAtching aLgorithm (GS-MEAL) and resource allocations are optimized iteratively. The simulations show the effectiveness of our proposed algorithm.
Keywords:
Cloud computing
Resource management
Energy consumption
Collaboration
Delays
Computational modeling
Wireless communication
Edge cloud computing
Gale-Shapley
three-tier network
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1.8W
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