Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSobhanayak, Srichandan-
dc.contributor.authorTuruk, Ashok Kumar-
dc.contributor.authorSahoo, Bibhudatta-
dc.identifier.citationIEEE TENCON 2015 (IEEE Region 10 Conference), Macau, China, 1-4 Nov 2015en_US
dc.descriptionCopyright belongs to proceeding publisheren_US
dc.description.abstractCloud Computing provides various types of services to the users, such as IaaS, PaaS, and SaaS. In IaaS cloud service, virtualization is one of the major services which helps the user to request for multiple services with the lowest price. The different resource utilization is caused by various mappings between virtual machines (VMs) and physical machines (PMs). Today for cloud service provider the central issue is how to place multiple VMs demanded by the users into the PMs to achieve workload balance and optimize the resource utilization. The proposed cloud model offers (with different levels) services by designing physical machines into four pools, with diverse provisioning delay and energy usage characteristics. We have broken down to acquire the hypothetical energy usage and performance optimization for VM placement in IaaS cloud data center. We have considered mean response delay and job rejection probability on average performance configuration with VM loss rate as our performance metrics.en_US
dc.subjectAnalytical Modelen_US
dc.titleAnalytic Modeling of VM Failure and Repair in Cloud Datacenteren_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
tencon.pdfConference Article 1.64 MBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.