{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:42:20Z","timestamp":1777704140457,"version":"3.51.4"},"reference-count":17,"publisher":"SAGE Publications","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IFS"],"published-print":{"date-parts":[[2021,3,2]]},"abstract":"<jats:p>Computation offloading is a key computing paradigm used in mobile edge computing. The principle of computation offloading is to leverage powerful infrastructures to augment the computing capability of less powerful devices. However, the most existing computation offloading algorithms assume that the mobile device is not moving, and these algorithms do not take into account the reliability of task execution. In this paper, we firstly present the formalized description of the workflow, the wireless signal, the wisdom medical scenario and the moving path. Then, inspired by the Bayesian cognitive model, a trust evaluation model is presented to reduce the probability of failure for task execution based on the reliable behaviors of multiply computation resources. According to the location and the velocity of the mobile device, the execution time and the energy consumption model based on the moving path are constructed, task deferred execution and task migration are introduced to guarantee the service continuity. On this basis, considering the whole scheduling process from a global viewpoint, the genetic algorithm is used to solve the energy consumption optimization problem with the constraint of response time. Experimental results show that the proposed algorithm optimizes the workflow under the mobile edge environment by increasing 20.4% of successful execution probability and decreasing 21.5% of energy consumption compared with traditional optimization algorithms.<\/jats:p>","DOI":"10.3233\/jifs-202025","type":"journal-article","created":{"date-parts":[[2020,12,18]],"date-time":"2020-12-18T10:23:18Z","timestamp":1608286998000},"page":"5255-5273","source":"Crossref","is-referenced-by-count":0,"title":["Reliability and mobility aware task offloading strategy and scheduling algorithm in wisdom medical scenario"],"prefix":"10.1177","volume":"40","author":[{"given":"Ping","family":"Qi","sequence":"first","affiliation":[{"name":"Department of Mathematics and Computer Science, Tongling University, Tongling, China"},{"name":"Institute of Service Computing, Tongling University, Tongling, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong","family":"Shu","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, Tongling University, Tongling, China"},{"name":"Institute of Service Computing, Tongling University, Tongling, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Hefei Normal University, Hefei, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"8","key":"10.3233\/JIFS-202025_ref1","doi-asserted-by":"crossref","first-page":"1584","DOI":"10.1109\/JPROC.2019.2922285","article-title":"Computation offloading toward edge computing","volume":"107","author":"Lin","year":"2019","journal-title":"Proceedings of the IEEE"},{"issue":"8","key":"10.3233\/JIFS-202025_ref2","doi-asserted-by":"crossref","first-page":"1474","DOI":"10.1109\/JPROC.2019.2928287","article-title":"Edge Computing","volume":"107","author":"Shi","year":"2019","journal-title":"Proceedings of the IEEE"},{"issue":"8","key":"10.3233\/JIFS-202025_ref3","doi-asserted-by":"crossref","first-page":"1608","DOI":"10.1109\/JPROC.2019.2918437","article-title":"Edge computing security: state of the art and challenges","volume":"107","author":"Xiao","year":"2019","journal-title":"Proceedings of the IEEE"},{"issue":"5","key":"10.3233\/JIFS-202025_ref4","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1109\/MWC.2016.7721736","article-title":"Internet-of-things-based smart environments: State of the art, taxonomy, and open research challenges","volume":"23","author":"Ahmed","year":"2016","journal-title":"IEEE Wireless Communications"},{"issue":"3","key":"10.3233\/JIFS-202025_ref5","doi-asserted-by":"crossref","first-page":"1628","DOI":"10.1109\/COMST.2017.2682318","article-title":"Mobile edge computing: a survey on architecture and computation offloading","volume":"19","author":"Mach","year":"2017","journal-title":"IEEE Communications Surveys & Tutorials"},{"issue":"4","key":"10.3233\/JIFS-202025_ref6","first-page":"954","article-title":"Energy efficient multi-resource computation offloading strategy in mobile edge computing","volume":"25","author":"Xu","year":"2019","journal-title":"Computer Integrated Manufacturing Systems"},{"issue":"3","key":"10.3233\/JIFS-202025_ref7","doi-asserted-by":"crossref","first-page":"1628","DOI":"10.1109\/COMST.2017.2682318","article-title":"Mobile Edge Computing: A Survey on Architecture and Computation Offloading","volume":"19","author":"Mach","year":"2017","journal-title":"IEEE Communications Surveys & Tutorials"},{"issue":"4","key":"10.3233\/JIFS-202025_ref10","doi-asserted-by":"crossref","first-page":"166","DOI":"10.1016\/j.future.2017.10.034","article-title":"A Quick-Response Framework for Multi-user Computation Offloading in Mobile Cloud Computing","volume":"81","author":"Kuang","year":"2018","journal-title":"Future Generation Computer Systems"},{"issue":"3","key":"10.3233\/JIFS-202025_ref11","doi-asserted-by":"crossref","first-page":"1397","DOI":"10.1109\/TWC.2016.2633522","article-title":"Energy-Efficient Resource Allocation for Mobile-Edge Computation Offloading","volume":"16","author":"You","year":"2017","journal-title":"IEEE Transactions on Wireless Communications"},{"issue":"4","key":"10.3233\/JIFS-202025_ref12","doi-asserted-by":"crossref","first-page":"2633","DOI":"10.1109\/JIOT.2017.2786343","article-title":"Energy-latency tradeoff for energy-aware offloading in mobile edge computing networks","volume":"5","author":"Zhang","year":"2018","journal-title":"IEEE Internet of Things Journal"},{"issue":"5","key":"10.3233\/JIFS-202025_ref13","doi-asserted-by":"crossref","first-page":"2851","DOI":"10.1007\/s11276-019-02000-y","article-title":"OKRA: optimal task and resource allocation for energy minimization in mobile edge computing systems","volume":"25","author":"Fang","year":"2019","journal-title":"Wireless Networks"},{"issue":"3","key":"10.3233\/JIFS-202025_ref16","doi-asserted-by":"crossref","first-page":"4854","DOI":"10.1109\/JIOT.2018.2874954","article-title":"Task Scheduling in Deadline-Aware Mobile Edge Computing Systems","volume":"6","author":"Zhu","year":"2019","journal-title":"IEEE Internet of Things Journal"},{"issue":"3","key":"10.3233\/JIFS-202025_ref19","doi-asserted-by":"crossref","first-page":"2321","DOI":"10.1016\/j.eswa.2011.08.048","article-title":"Cloud-DLS: Dynamic trusted scheduling for Cloud computing","volume":"39","author":"Wang","year":"2012","journal-title":"Expert Systems with Applications"},{"key":"10.3233\/JIFS-202025_ref20","doi-asserted-by":"crossref","first-page":"43679","DOI":"10.1109\/ACCESS.2019.2905550","article-title":"BLTM: Beta and LQI based trust model for wireless sensor networks","volume":"7","author":"Wu","year":"2019","journal-title":"IEEE Access"},{"issue":"1","key":"10.3233\/JIFS-202025_ref22","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1146\/annurev-statistics-060116-054045","article-title":"Bayesian Computing with INLA: A Review","volume":"4","author":"Rue","year":"2017","journal-title":"Annual Review of Statistics and Its Application"},{"key":"10.3233\/JIFS-202025_ref24","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1016\/j.adhoc.2014.07.028","article-title":"Cost-effective multi-mode offloading with peer-assisted communications","volume":"25","author":"Komnios","year":"2015","journal-title":"Ad Hoc Networks"},{"issue":"4","key":"10.3233\/JIFS-202025_ref27","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1109\/TDSC.2009.4","article-title":"A large-scale study of failures in high-performance computing systems","volume":"7","author":"Schroeder","year":"2010","journal-title":"IEEE Transactions on Dependable and Secure Computing"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"link":[{"URL":"https:\/\/content.iospress.com\/download?id=10.3233\/JIFS-202025","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:40:32Z","timestamp":1777455632000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/full\/10.3233\/JIFS-202025"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,2]]},"references-count":17,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.3233\/jifs-202025","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,3,2]]}}}