@inproceedings{b28b9cd29dc24661ac733220e2eeef4e,
title = "Leveraging Edge Computing Resource Orchestration to Improve QoS for IoT",
abstract = "Edge computing is to deploy micro data centers (MDCs) at the edge nodes of the network to provide services nearby, using the bandwidth of the edge network while reducing network delay. We propose the Greedy-based Resource Orchestration for IoT Edge Computing (GROTEC) mechanism that runs in edge computing environment. The GROTEC mechanism uses a global resource orchestrator to orchestrate the resources of the MDCs with a greedy strategy. The GROTEC mechanism includes a request dispatching algorithm, a request offloading mechanism and a service migration mechanism. The experiment results show that the request offloading mechanism of GROTEC reduces the duration of MDC being overloaded by 97.9%, decreases the network traffic of overloaded MDC by 91.9%, and improves the latency of requests by 12.6%. From the experiment results, the service migration mechanism of GROTEC can ease the load of the cloud data center and improve the latency of requests by 26.8%.",
keywords = "container, Edge computing, internet of things, network delay, quality of service, service migration",
author = "Lai, {Wen Pin} and Chang, {Yu Ping} and Liu, {Chien Chang} and Lei, {Wei Cheng} and Chou, {Li Der}",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 13th International Conference on Information and Communication Technology Convergence, ICTC 2022 ; Conference date: 19-10-2022 Through 21-10-2022",
year = "2022",
doi = "10.1109/ICTC55196.2022.9952624",
language = "???core.languages.en_GB???",
series = "International Conference on ICT Convergence",
publisher = "IEEE Computer Society",
pages = "395--399",
booktitle = "ICTC 2022 - 13th International Conference on Information and Communication Technology Convergence",
}