{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,7,18]],"date-time":"2024-07-18T02:15:18Z","timestamp":1721268918658},"reference-count":0,"publisher":"IGI Global","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,1]]},"abstract":"<p>Edge computing is an evolving decentralized computing infrastructure by which end applications are situated near the computing facilities. While the edge servers leverage the close proximity to the end-users for provisioning services at reduced latency and lower energy costs, their capabilities are constrained by limitations in computational and radio resources, which calls for smart, quality-of-service (QoS) guaranteed, and efficient task scheduling methods and algorithms. For addressing the edge-environment-oriented multi-workflow scheduling problem, the authors consider a probabilistic-QoS-aware approach to multi-workflow scheduling upon edge servers and resources. It leverages a probability-mass function-based QoS aggregation model and a discrete firefly algorithm for generating the multi-workflow scheduling plans. This research conducted an experimental case study based on varying types of workflow process models and a real-world dataset for edge server positions. It can be observed the method clearly outperforms its peers in terms of workflow completion time, cost, and deadline violation rate.<\/p>","DOI":"10.4018\/ijwsr.2021040102","type":"journal-article","created":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T12:56:59Z","timestamp":1618837019000},"page":"25-39","source":"Crossref","is-referenced-by-count":2,"title":["Probabilistic-QoS-Aware Multi-Workflow Scheduling Upon the Edge Computing Resources"],"prefix":"10.4018","volume":"18","author":[{"given":"Tao","family":"Tang","sequence":"first","affiliation":[{"name":"Chongqing University, China"}]},{"given":"Yuyin","family":"Ma","sequence":"additional","affiliation":[{"name":"Chongqing University, China"}]},{"given":"Wenjiang","family":"Feng","sequence":"additional","affiliation":[{"name":"Chongqing University, China"}]}],"member":"2432","container-title":["International Journal of Web Services Research"],"original-title":[],"language":"ng","link":[{"URL":"https:\/\/www.igi-global.com\/viewtitle.aspx?TitleId=277062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,6]],"date-time":"2022-05-06T15:49:51Z","timestamp":1651852191000},"score":1,"resource":{"primary":{"URL":"https:\/\/services.igi-global.com\/resolvedoi\/resolve.aspx?doi=10.4018\/IJWSR.2021040102"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2021,4,1]]},"references-count":0,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2021,4]]}},"URL":"https:\/\/doi.org\/10.4018\/ijwsr.2021040102","relation":{},"ISSN":["1545-7362","1546-5004"],"issn-type":[{"value":"1545-7362","type":"print"},{"value":"1546-5004","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,4,1]]}}}