https://scholars.lib.ntu.edu.tw/handle/123456789/607164
標題: | Risk-Aware Cloud-Edge Computing Framework for Delay-Sensitive Industrial IoTs | 作者: | Zhang Y HUNG-YU WEI |
關鍵字: | conditional value-at-risk;delay-sensitive;edge computing;Industrial IoT;Edge computing;Inspection;Operating costs;Risk assessment;Value engineering;Channel access delays;Computation intensives;Computing capability;Computing frameworks;Conditional Value-at-Risk;Extensive simulations;Processor sharing;Quality of product;Industrial internet of things (IIoT) | 公開日期: | 2021 | 卷: | 18 | 期: | 3 | 起(迄)頁: | 2659-2671 | 來源出版物: | IEEE Transactions on Network and Service Management | 摘要: | The industrial Internet of Things (IIoT) has been widely deployed to provide autonomous inspection on current production status and quality of products for modern manufacturing. However, the IIoT sensors generally are short of computing capabilities and therefore could not offer acceptable latency for computation-intensive inspection tasks. Besides, the mission-critical industrial applications are extremely sensitive to inspection failure, which may lead to serious manufacturing problems or accidents. In this paper, we propose a risk-aware cloud-edge computing framework for the delay-sensitive inspections of autonomous manufacturing. Due to the uncertainty of 802.11ax, we utilize the conditional value-at-risk (CVaR) to measure the inspection risk basing on the distribution of channel access delay. We develop a branch-and-check (BNC) approach to optimally and efficiently deploy the decomposable inspection tasks with the minimum operation cost and acceptable latency. The extensive simulations guide the operational use for future IIoT and the results show that the proposed system can save a large amount of unnecessary operation cost by enabling the processor sharing strategy. ? 2004-2012 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112208668&doi=10.1109%2fTNSM.2021.3092790&partnerID=40&md5=6fa583f86407e1c54dccf22026449e22 https://scholars.lib.ntu.edu.tw/handle/123456789/607164 |
ISSN: | 19324537 | DOI: | 10.1109/TNSM.2021.3092790 |
顯示於: | 電機工程學系 |
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