Kansikuva

Mean Age of Information in Partial Offloading Mobile Edge Computing Networks

Tallennettuna:
Julkaisussa:arXiv.org (Sep 24, 2024), p. n/a
Päätekijä: Dong, Ying
Muut tekijät: Xiao, Hang, Hu, Haonan, Zhang, Jiliang, Chen, Qianbin, Zhang, Jie
Julkaistu:
Cornell University Library, arXiv.org
Aiheet:
Computation offloading
Performance evaluation
Networks
Queuing theory
Edge computing
Mobile computing
Linkit:Citation/Abstract
Full text outside of ProQuest
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022 |a 2331-8422 
035 |a 3109529477 
045 0 |b d20240924 
100 1 |a Dong, Ying 
245 1 |a Mean Age of Information in Partial Offloading Mobile Edge Computing Networks 
260 |b Cornell University Library, arXiv.org  |c Sep 24, 2024 
513 |a Working Paper 
520 3 |a The age of information (AoI) performance analysis is essential for evaluating the information freshness in the large-scale mobile edge computing (MEC) networks. This work proposes the earliest analysis of the mean AoI (MAoI) performance of large-scale partial offloading MEC networks. Firstly, we derive and validate the closed-form expressions of MAoI by using queueing theory and stochastic geometry. Based on these expressions, we analyse the effects of computing offloading ratio (COR) and task generation rate (TGR) on the MAoI performance and compare the MAoI performance under the local computing, remote computing, and partial offloading schemes. The results show that by jointly optimising the COR and TGR, the partial offloading scheme outperforms the local and remote computing schemes in terms of the MAoI, which can be improved by up to 51% and 61%, respectively. This encourages the MEC networks to adopt the partial offloading scheme to improve the MAoI performance. 
653 |a Computation offloading 
653 |a Performance evaluation 
653 |a Networks 
653 |a Queuing theory 
653 |a Edge computing 
653 |a Mobile computing 
700 1 |a Xiao, Hang 
700 1 |a Hu, Haonan 
700 1 |a Zhang, Jiliang 
700 1 |a Chen, Qianbin 
700 1 |a Zhang, Jie 
773 0 |t arXiv.org  |g (Sep 24, 2024), p. n/a 
786 0 |d ProQuest  |t Engineering Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3109529477/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch 
856 4 0 |3 Full text outside of ProQuest  |u http://arxiv.org/abs/2409.16115