Dynamic Scheduling Method for Cooperative Resource Sharing in Mobile Cloud Computing Environments
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kwon, Kyunglag | - |
dc.contributor.author | Park, Hansaem | - |
dc.contributor.author | Jung, Sungwoo | - |
dc.contributor.author | Lee, Jeungmin | - |
dc.contributor.author | Chung, In-Jeong | - |
dc.date.accessioned | 2021-09-04T02:25:24Z | - |
dc.date.available | 2021-09-04T02:25:24Z | - |
dc.date.created | 2021-06-16 | - |
dc.date.issued | 2016-02-29 | - |
dc.identifier.issn | 1976-7277 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/89464 | - |
dc.description.abstract | Mobile cloud computing has recently become a new paradigm for the utilization of a variety of shared mobile resources via wireless network environments. However, due to the inherent characteristics of mobile devices, a limited battery life, and a network access requirement, it is necessary for mobile servers to provide a dynamic approach for managing mobile resources efficiently in mobile cloud computing environments. Since on-demand job requests occur frequently and the number of mobile devices is drastically increased in mobile cloud computing environments, a different mobile resource management method is required to maximize the computational power. In this paper, we therefore propose a cooperative, mobile resource sharing method that considers both the inherent properties and the number of mobile devices in mobile cloud environments. The proposed method is composed of four main components: mobile resource monitor, job handler, resource handler, and results consolidator. In contrast with conventional mobile cloud computing, each mobile device under the proposed method can be either a service consumer or a service provider in the cloud. Even though each device is resource-poor when a job is processed independently, the computational power is dramatically increased under the proposed method, as the devices cooperate simultaneously for a job. Therefore, the mobile computing power throughput is dynamically increased, while the computation time for a given job is reduced. We conduct case-based experiments to validate the proposed method, whereby the feasibility of the method for the purpose of cooperative computation is shown. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | KSII-KOR SOC INTERNET INFORMATION | - |
dc.subject | RISE | - |
dc.title | Dynamic Scheduling Method for Cooperative Resource Sharing in Mobile Cloud Computing Environments | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Chung, In-Jeong | - |
dc.identifier.doi | 10.3837/tiis.2016.02.003 | - |
dc.identifier.scopusid | 2-s2.0-84959338682 | - |
dc.identifier.wosid | 000371899300003 | - |
dc.identifier.bibliographicCitation | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.10, no.2, pp.484 - 503 | - |
dc.relation.isPartOf | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | - |
dc.citation.title | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS | - |
dc.citation.volume | 10 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 484 | - |
dc.citation.endPage | 503 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.identifier.kciid | ART002165101 | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.description.journalRegisteredClass | kci | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Telecommunications | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information Systems | - |
dc.relation.journalWebOfScienceCategory | Telecommunications | - |
dc.subject.keywordPlus | RISE | - |
dc.subject.keywordAuthor | Mobile resource management and sharing | - |
dc.subject.keywordAuthor | mobile computing | - |
dc.subject.keywordAuthor | job scheduling | - |
dc.subject.keywordAuthor | cooperative computing | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.