Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/2722
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSahoo, Sampa-
dc.contributor.authorParida, Ipsita-
dc.contributor.authorMishra, Sambit Kumar-
dc.contributor.authorSahoo, Bibhdatta-
dc.contributor.authorTuruk, Ashok Kumar-
dc.date.accessioned2017-07-03T11:50:56Z-
dc.date.available2017-07-03T11:50:56Z-
dc.date.issued2017-06-
dc.identifier.citation5th International Conference on Advanced Computing, Networking, and Informatics(ICACNI), NIT Goa, India,1-3 June 2017en_US
dc.identifier.urihttp://hdl.handle.net/2080/2722-
dc.descriptionCopyright for this paper belongs to proceeding publisheren_US
dc.description.abstractVideo content providers like YouTube, Netix cater their content, i.e. news, shows, on the web which is accessible anytime anywhere. The multi-screens like TVs, smartphones, laptops created a demand to transcode the video into the appropriate video speciation ensuring different Quality of Services (QoS) such as delay. Transcoding a large, high-definition video requires a lot of time, computation. The cloud transcoding solution allows video service providers to overcome the above difficulties through the pay-as-you-use scheme, with the assurance of providing online support to handle unpredictable demands. This paper presents a cost-efficient cloud-based transcoding framework and algorithm (CVS) for streaming service providers. The dynamic resource provisioning policy used in framework finds the number of virtual ma-chines required for a particular set of video streams. Simulation results based on YouTube dataset show that the CVS algorithm performs better compared to FCFS scheme.en_US
dc.publisherSpringeren_US
dc.subjectClouden_US
dc.subjectVideo transcodingen_US
dc.subjectMergeren_US
dc.subjectVideo Streamen_US
dc.subjectQoSen_US
dc.titleResource Allocation for Video Transcoding in the Multimedia Clouden_US
dc.typeArticleen_US
Appears in Collections:Conference Papers

Files in This Item:
File Description SizeFormat 
2017_ICACCNI_SSahoo_Resource.pdf318.3 kBAdobe PDFView/Open


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