Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/81897
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorWang, JVen_US
dc.creatorGanganath, Nen_US
dc.creatorCheng, CTen_US
dc.creatorTse, CKen_US
dc.date.accessioned2020-03-27T03:29:26Z-
dc.date.available2020-03-27T03:29:26Z-
dc.identifier.issn1932-8184en_US
dc.identifier.urihttp://hdl.handle.net/10397/81897-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication J. V. Wang, N. Ganganath, C. Cheng and C. K. Tse, "Bio-Inspired Heuristics for VM Consolidation in Cloud Data Centers," in IEEE Systems Journal, vol. 14, no. 1, pp. 152-163, March 2020. is available at https://dx.doi.org/10.1109/JSYST.2019.2900671en_US
dc.subjectBio-inspireden_US
dc.subjectHeuristicsen_US
dc.subjectResource managementen_US
dc.subjectUtilization correlationen_US
dc.subjectVirtual machine (VM) consolidationen_US
dc.titleBio-inspired heuristics for VM consolidation in Cloud data centersen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage152en_US
dc.identifier.epage163en_US
dc.identifier.volume14en_US
dc.identifier.issue1en_US
dc.identifier.doi10.1109/JSYST.2019.2900671en_US
dcterms.abstractIn infrastructure-as-a-service environments, Cloud data centers employ virtualization technology to host various applications in virtual machines (VMs) and enable application isolation on shared physical resources. Additionally, live VM migration has been adopted to perform load balancing by moving VMs across distinct hosts. However, co-located VMs that show significant positive correlations on their CPU utilization patterns are at a higher risk of triggering overloading events and incurring performance degradation, even when their host is operating below its critical limits. To address this problem, a VM consolidation mechanism inspired by host-switching behaviors in symbiotic associates is proposed in this paper. In the proposed mechanism, hosts and VMs in Cloud data centers represent symbionts in an ecosystem. Two heuristic functions, inspired by host susceptibility and symbiotic coefficient among symbionts, are proposed to yield better resource utilization via VM consolidations. Experiment results demonstrate that the proposed mechanism can achieve reductions in both energy consumption and service level agreement violations of Cloud data centers.-
dcterms.bibliographicCitationIEEE systems journal, Mar. 2020, v. 14, no. 1, p. 152-163en_US
dcterms.isPartOfIEEE systems journalen_US
dcterms.issued2020-03-
dc.identifier.isiWOS:000526061100016-
dc.identifier.eissn1937-9234en_US
dc.description.validate202003 bcrc-
dc.description.oapreprint_postprint-
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