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dc.contributor.advisorChaudhary, Sanjay
dc.contributor.advisorBise, Minal
dc.contributor.authorChauhan, Tejas
dc.date.accessioned2017-06-10T14:39:20Z
dc.date.available2017-06-10T14:39:20Z
dc.date.issued2011
dc.identifier.citationChauhan, Tejas (2011). Service level agreement parameter matching in cloud computing. Dhirubhai Ambani Institute of Information and Communication Technology, ix, 35 p. (Acc.No: T00325)
dc.identifier.urihttp://drsr.daiict.ac.in/handle/123456789/362
dc.description.abstractCloud is a large pool of easily usable and accessible virtualized resources (such as hardware, development platforms and/or software services). It provides an on-demand, pay-asyo-ugo computing resources and had become an alternative to traditional IT infrastructure. As more and more consumers delegate their task to cloud providers, Service Level Agreement (SLA) between consumer and provider becomes an important aspect. Due to the dynamic nature of cloud the matching of service level agreement need to be dynamic and continuous monitoring of Quality of Service (QoS) is necessary to enforce SLAs. This complex nature of cloud warrants a sophisticated means of managing SLAs. SLA contains many parameters like cloud’s types of services, resources (physical memory, main memory, processor speed, ethernet speed etc.) and properties (availability, response time, server reboot time etc.). At present, actual Cloud SLAs are typically plain-text documents, and sometimes an informative document published online. Consumer needs to manually match application requirements with each and every cloud provider to identify compatible cloud provider. This work addresses the issue of matching SLA parameters to find best suitable cloud provider. Proposed algorithm identifies the compatible cloud provider by matching parameters of application requirements and cloud SLAs. It gives suggestion to a consumer in terms of number of matched parameters.
dc.publisherDhirubhai Ambani Institute of Information and Communication Technology
dc.subjectCloud computing
dc.subjectUtility computing
dc.subjectCloud computing
dc.subjectService-level agreements
dc.subjectTotal quality management
dc.subjectService industries
dc.subjectQuality control
dc.subjectCustomer services
dc.subjectRDF Query Processing
dc.subjectDatabase management
dc.classification.ddc004.36 CHA
dc.titleService level agreement parameter matching in cloud computing
dc.typeDissertation
dc.degreeM. Tech
dc.student.id200911032
dc.accession.numberT00325


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