Title | ||
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Delay-sensitive Task offloading combined with Bandwidth Allocation in Multi-access Edge Computing |
Abstract | ||
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In recent years, multi-access edge computing (MEC) has become a hot topic. In this paper, we study a task offloading problem combined with bandwidth allocation in multi-access edge computing. Based on alliance game, we formulate bandwidth allocation to minimize the dissatisfaction of alliances. Then, we formulate the task offloading decision-making to minimize the delay. The delay consists of communication delay and execution delay. To solve the offloading problem, we convert the dissatisfaction of alliance into a vector, and obtain the Pareto optimal through multi-objective particle swarm algorithm. Then, we use Branch and Bound method to construct the propagation tree to facilitate decision-making. To evaluate the edge servers in the tree, we build an evaluation matrix and transform the matrix to a set of evaluation index which is used on task offloading decision-making. A large number of experimental results show that our algorithm is better than compared algorithm. |
Year | DOI | Venue |
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2022 | 10.1109/LCN53696.2022.9843342 | 2022 IEEE 47th Conference on Local Computer Networks (LCN) |
Keywords | DocType | ISSN |
multi-access edge computing,alliance game,Branch and Bound | Conference | 0742-1303 |
ISBN | Citations | PageRank |
978-1-6654-8002-4 | 0 | 0.34 |
References | Authors | |
7 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shudian Song | 1 | 0 | 0.68 |
Shuyue Ma | 2 | 0 | 2.37 |
Xiumin Zhu | 3 | 0 | 0.34 |
Yumei Li | 4 | 0 | 0.34 |
Feng Yang | 5 | 0 | 0.34 |
Linbo Zhai | 6 | 15 | 7.01 |