Edge computing offloading policies and resource allocation considering system fairness in trusted environments
Considering the fairness problem in edge computing in an unreliable trust environment, the offloading decision and resource allocation problem of edge computing was studied for a multi-user multi-server scenario.Based on the proposed real-time trust model, system fairness was defined from the perspe...
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Language: | zho |
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Editorial Department of Journal on Communications
2024-03-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024030/ |
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author | Shouyi YANG Fukang LI Ruimin REN |
author_facet | Shouyi YANG Fukang LI Ruimin REN |
author_sort | Shouyi YANG |
collection | DOAJ |
description | Considering the fairness problem in edge computing in an unreliable trust environment, the offloading decision and resource allocation problem of edge computing was studied for a multi-user multi-server scenario.Based on the proposed real-time trust model, system fairness was defined from the perspective of user satisfaction, a joint optimization model considering trust and fairness was established, and a trust-based task offloading and resource allocation (TOA) algorithm was proposed on this basis.The original NP-hard problem was converted into multiple deterministic optimization subproblems, the offloading strategy was determined based on the backtracking algorithm, and the optimization of resource allocation was accomplished by using the Lagrange multiplier method, the convex optimization toolbox, and the bifurcated iterative search method, so as to achieve system fairness and enhance user satisfaction.Simulation experimental results show that the proposed algorithm outperforms other benchmark algorithms. |
format | Article |
id | doaj-art-224c2ea01e2a4f088af009925e1d083b |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2024-03-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-224c2ea01e2a4f088af009925e1d083b2025-01-14T06:21:55ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-03-014514215459296687Edge computing offloading policies and resource allocation considering system fairness in trusted environmentsShouyi YANGFukang LIRuimin RENConsidering the fairness problem in edge computing in an unreliable trust environment, the offloading decision and resource allocation problem of edge computing was studied for a multi-user multi-server scenario.Based on the proposed real-time trust model, system fairness was defined from the perspective of user satisfaction, a joint optimization model considering trust and fairness was established, and a trust-based task offloading and resource allocation (TOA) algorithm was proposed on this basis.The original NP-hard problem was converted into multiple deterministic optimization subproblems, the offloading strategy was determined based on the backtracking algorithm, and the optimization of resource allocation was accomplished by using the Lagrange multiplier method, the convex optimization toolbox, and the bifurcated iterative search method, so as to achieve system fairness and enhance user satisfaction.Simulation experimental results show that the proposed algorithm outperforms other benchmark algorithms.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024030/edge computingtrust modelfairnessresource allocation |
spellingShingle | Shouyi YANG Fukang LI Ruimin REN Edge computing offloading policies and resource allocation considering system fairness in trusted environments Tongxin xuebao edge computing trust model fairness resource allocation |
title | Edge computing offloading policies and resource allocation considering system fairness in trusted environments |
title_full | Edge computing offloading policies and resource allocation considering system fairness in trusted environments |
title_fullStr | Edge computing offloading policies and resource allocation considering system fairness in trusted environments |
title_full_unstemmed | Edge computing offloading policies and resource allocation considering system fairness in trusted environments |
title_short | Edge computing offloading policies and resource allocation considering system fairness in trusted environments |
title_sort | edge computing offloading policies and resource allocation considering system fairness in trusted environments |
topic | edge computing trust model fairness resource allocation |
url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024030/ |
work_keys_str_mv | AT shouyiyang edgecomputingoffloadingpoliciesandresourceallocationconsideringsystemfairnessintrustedenvironments AT fukangli edgecomputingoffloadingpoliciesandresourceallocationconsideringsystemfairnessintrustedenvironments AT ruiminren edgecomputingoffloadingpoliciesandresourceallocationconsideringsystemfairnessintrustedenvironments |