Model-based performance analysis of local re-execution scheme in offloading system

Qiushi Wang, Huaming Wu, K. Wolter
{"title":"Model-based performance analysis of local re-execution scheme in offloading system","authors":"Qiushi Wang, Huaming Wu, K. Wolter","doi":"10.1109/DSN.2013.6575325","DOIUrl":null,"url":null,"abstract":"Offloading is a useful approach to save energy and time for mobile devices by migrating heavy computation to remote powerful servers. However, the unreliable wireless network constrains the implementation of offloading applications. The execution continuity is always interrupted by network failures. To deal with this problem, locally re-executing the pre-determined offloading task in the mobile device is a valid method. Challenges arise due to the best trade-off between costs and benefits of Local Re-execution. In this paper, using a Stochastic Activity Network model, we defined three metrics to investigate the performance of Local Re-execution, which is launched by different timeout values. Through comprehensively comparing the simulation results, we further explored the optimal timeout value for activating Local Re-execution, and reached the conclusion that the optimum is mainly controlled by the delay of network recovery.","PeriodicalId":163407,"journal":{"name":"2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSN.2013.6575325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Offloading is a useful approach to save energy and time for mobile devices by migrating heavy computation to remote powerful servers. However, the unreliable wireless network constrains the implementation of offloading applications. The execution continuity is always interrupted by network failures. To deal with this problem, locally re-executing the pre-determined offloading task in the mobile device is a valid method. Challenges arise due to the best trade-off between costs and benefits of Local Re-execution. In this paper, using a Stochastic Activity Network model, we defined three metrics to investigate the performance of Local Re-execution, which is launched by different timeout values. Through comprehensively comparing the simulation results, we further explored the optimal timeout value for activating Local Re-execution, and reached the conclusion that the optimum is mainly controlled by the delay of network recovery.
基于模型的卸载系统局部重执行方案性能分析
卸载是一种有用的方法,通过将繁重的计算迁移到远程功能强大的服务器,可以为移动设备节省能源和时间。然而,不可靠的无线网络限制了卸载应用的实现。网络故障总是中断执行的连续性。为了解决这个问题,在移动设备上本地重新执行预定的卸载任务是一种有效的方法。挑战来自于本地重新执行的成本和收益之间的最佳权衡。在本文中,我们使用随机活动网络模型,定义了三个指标来研究由不同超时值启动的局部重执行的性能。通过综合比较仿真结果,我们进一步探索激活Local reexecution的最优超时值,得出最优值主要由网络恢复延迟控制的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信