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Is Ant Colony System better than FFD for VM placement in a heterogeneous cluster?
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dc.contributor.authorLee, Seungjun-
dc.contributor.authorJeong, Minjoong-
dc.contributor.authorOh, Sangyoon-
dc.date.issued2022-01-01-
dc.identifier.urihttps://aurora.ajou.ac.kr/handle/2018.oak/36805-
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85143121366&origin=inward-
dc.description.abstractFirst fit decreasing (FFD) is the most popular heuristic for virtual machine (VM) placement problems. However, FFD does not perform as much in a heterogeneous cluster environment. Moreover, FFD and other heuristics, such as best fit decreasing (BFD), are limited to handle the VM placement problem effectively when multiple resources are considered together. In this study, we analyze the reason why the ant colony system performs better than FFD for VM placement in a heterogeneous cluster. We verified our logical observations through experimental comparisons with other heuristics.-
dc.description.sponsorshipACKNOWLEDGMENT This work was jointly supported by the Basic Science Research Program through the National Research Foundation of Korea (2021R1F1A1062779) and the supercomputing department at KISTI (KSC-2021-CRE-0363).-
dc.language.isoeng-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.subject.meshAnt's colony system-
dc.subject.meshBest fit decreasing-
dc.subject.meshCloud-computing-
dc.subject.meshCluster environments-
dc.subject.meshExperimental comparison-
dc.subject.meshFirst fit-
dc.subject.meshHeterogeneous clusters-
dc.subject.meshMultiple resources-
dc.subject.meshPlacement problems-
dc.subject.meshVirtual machine placements-
dc.titleIs Ant Colony System better than FFD for VM placement in a heterogeneous cluster?-
dc.typeConference-
dc.citation.conferenceDate2022.09.26.~2022.09.30.-
dc.citation.conferenceName10th IEEE International Conference on Cloud Engineering, IC2E 2022-
dc.citation.editionProceedings - 2022 IEEE International Conference on Cloud Engineering, IC2E 2022-
dc.citation.endPage278-
dc.citation.startPage277-
dc.citation.titleProceedings - 2022 IEEE International Conference on Cloud Engineering, IC2E 2022-
dc.identifier.bibliographicCitationProceedings - 2022 IEEE International Conference on Cloud Engineering, IC2E 2022, pp.277-278-
dc.identifier.doi10.1109/ic2e55432.2022.00038-
dc.identifier.scopusid2-s2.0-85143121366-
dc.identifier.urlhttp://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=9946295-
dc.subject.keywordant colony system-
dc.subject.keywordcloud computing-
dc.subject.keywordVM placement-
dc.type.otherConference Paper-
dc.description.isoafalse-
dc.subject.subareaInformation Systems-
dc.subject.subareaInformation Systems and Management-
dc.subject.subareaHardware and Architecture-
dc.subject.subareaComputer Networks and Communications-
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Oh, Sangyoon오상윤
Department of Software and Computer Engineering
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