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dc.contributor.advisorChaudhary, Sanjay
dc.contributor.advisorBise, Minal
dc.contributor.authorVora, Dhairya
dc.date.accessioned2017-06-10T14:39:16Z
dc.date.available2017-06-10T14:39:16Z
dc.date.issued2011
dc.identifier.citationVora, Dhairya (2011). Policy based resource allocation on infrastructure as a service cloud. Dhirubhai Ambani Institute of Information and Communication Technology, xi, 54 p. (Acc.No: T00321)
dc.identifier.urihttp://drsr.daiict.ac.in/handle/123456789/358
dc.description.abstractCloud computing refers to the provision of computational resources on demand. Resource allocation is an important aspect in cloud computing. Cloud user asks for resources in terms of a lease. Lease stores the information about required resources and the time at which these resources are required. Cloud provider accepts the lease if it can provide guarantee for assigning resources at asked time to the cloud user. Better scheduling algorithm can accept more number of leases and hence give better resource utilization. Cloud provides four types of leases: immediate, advance reservation, best effort and deadline sensitive. Immediate allocation policy accepts the lease if resources are available, else it rejects the lease. Advance reservation policy accepts the lease if resources are available at the asked time, else it rejects the lease. Best effort allocation policy accepts the lease as soon as the resources are available. Deadline sensitive leases have parameters like required resources, startTime, endTime and duration. Scheduler can accept such lease by providing required resources for the asked duration of time between given startTime and endTime. Haizea is a resource lease manager which handles the scheduling of the lease. Proposed algorithm extends the current scheduling algorithm of Haizea for deadline sensitive type of leases. Aim of the thesis is to improve resource utilization by extending the current scheduling algorithms of Haizea. Proposed scheduling algorithm accepts more number of leases by dividing a deadline sensitive lease into multiple slots and by back filling already.
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.subjectCloud computing
dc.subjectUtility computing
dc.subjectDistributed computing
dc.subjectComputational grids
dc.subjectComputer systems
dc.subjectDatabase management
dc.subjectCloud computing
dc.subjectParallel processing
dc.subjectElectronic computers
dc.subjectElectronic data processing
dc.subjectDistributed processing
dc.subjectAutomatic Data Processing
dc.subjectWorkflow applications
dc.subjectScheduling algorithms
dc.subjectWeb services
dc.subjectGrid computing
dc.classification.ddc004.36 VOR
dc.titlePolicy based resource allocation on infrastructure as a service cloud
dc.typeDissertation
dc.degreeM. Tech
dc.student.id200911031
dc.accession.numberT00321


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