Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/3287
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBebarta, Sodyam-
dc.contributor.authorSutradhar, Tanajit-
dc.contributor.authorSahoo, Bibhudatta-
dc.date.accessioned2019-04-29T05:31:37Z-
dc.date.available2019-04-29T05:31:37Z-
dc.date.issued2019-04-
dc.identifier.citation4th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems (ICAIECES-2019), Chennai, India,11-13 April 2019en_US
dc.identifier.urihttp://hdl.handle.net/2080/3287-
dc.descriptionCopyright of this document belongs to proceedings publisher.en_US
dc.description.abstractPortability is setting the stage for how individuals lap up online media content. Cloud computing has stirred incredible enthusiasm from both scholarly world and in the technical arena quite recently. Because of Service Level Agreement (SLA), the cloud service providers need to ensure the unwavering quality of their frameworks. Nonetheless, erratic equipment or programming disappointments are generally inescapable. For realtime undertakings, failure of the entire system may make them miss their due dates. Thus a robust and a fault tolerant system can effectively evade such cases. The fault tolerant system is generally used to acknowledge adaptation to internal failure by copying an errand into two duplicates a primary one and a secondary piece. The excess presented by reinforcement duplicates brings about additional overhead for cloud frameworks. A media handling model is proposed to empower dynamic scheduling synthesis and cross-pipeline assignment partaking in the cloud for adaptable online processing. The challenge in using cloud administrations for on-request video transcoding, be that as it may, is to keep up a vigorous QoS for watchers and cost-proficiency for spilling administration providers. The model enables application designers to stretch out its ability to empower certain customization for running live channels. In this paper we have discussed the issues that are prevalent in the fault tolerance, elaborated on the two algorithms that we have used to identify the faults.en_US
dc.subjectCloud Computingen_US
dc.subjectService Level Agreementen_US
dc.subjectFault Toleranceen_US
dc.subjectVirtual Machinesen_US
dc.titleFault Identification in Deadline Sensitive Applications in Cloud Computingen_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2019_ICAIECES_SBeberta_FaultIdentification.pdfConference paper749.32 kBAdobe PDFView/Open


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