Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/4845
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKorat, Darpan-
dc.date.accessioned2014-08-19T07:43:11Z-
dc.date.available2014-08-19T07:43:11Z-
dc.date.issued2014-06-01-
dc.identifier.urihttp://hdl.handle.net/123456789/4845-
dc.description.abstractCloud computing has turned into the most prevalent distributed computing environment in light of the fact that it doesn't obliges administration and controlling on more level execution at client level. Nonetheless, effective resource provisioning is a key test for cloud computing and determining such sort of issue can diminish under or over utilization of resources, increment client fulfillment by serving more clients during peak hours, decrease execution cost for suppliers and service cost for clients. Existing works on cloud computing focuses estimation the accurate capacity needs, static or dynamic VM (Virtual Machine) creation and scheduling. But significant amount of time is required to create and destroy VMs which could be used to serve more user requests. In this thesis, an QoS (Quality of Service) aware VM provisioning mechanism is developed that ensures efficient utilization of the system resources. The VM for similar type of requests has been recycled so that the VM creation time can be minimized and used to serve more user requests. In the proposed model, QoS is ensured by serving all the tasks within the requirements described in SLA. The advances of virtualization technology in Data Centres lead to the development of features such as High Availability and Fault Tolerance. This thesis also presents the enablement solution that covers VM migration in private clouds.en_US
dc.publisherInstitute of Technologyen_US
dc.relation.ispartofseries12MCEC17;-
dc.subjectComputer 2012en_US
dc.subjectProject Report 2012en_US
dc.subjectComputer Project Reporten_US
dc.subjectProject Reporten_US
dc.subject12MCEen_US
dc.subject12MCECen_US
dc.subject12MCEC17en_US
dc.subjectCloud Computingen_US
dc.subjectService Level Agreement (SLA)en_US
dc.subjectQuality of Service (QoS)en_US
dc.subjectVirtual Machine (VM)en_US
dc.subjectFault Toleranceen_US
dc.titleSLA Based an Efficient and Reliable Resource Provisioning in Private Clouden_US
dc.typeDissertationen_US
Appears in Collections:Dissertation, CE

Files in This Item:
File Description SizeFormat 
12MCEC17.pdf12MCEC173.65 MBAdobe PDFThumbnail
View/Open


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