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CVSS: A Cost-Efficient and QoS-Aware Video Streaming Using Cloud Services

CVSS: A Cost-Efficient and QoS-Aware Video Streaming Using Cloud Services

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 CVSS: A Cost-Efficient and QoS-Aware Video Streaming Using Cloud Services

Video streams, either in form of on-demand stream-ing or live streaming, usually have to be converted ( i.e.,transcoded) based on the characteristics of clients’ devices ( e.g.,spatial resolution, network bandwidth, and supported formats).Transcoding is a computationally expensive and time-consumingoperation, therefore, streaming service providers currently storenumerous transcoded versions of the same video to serve differenttypes of client devices. Due to the expense of aintaining and upgrading storage and computing infrastructures, manystreaming service providers ( e.g., Netflix) recently are becoming reliant on cloud services. However, the challenge in utilizing cloud services for video transcoding is how to deploy cloud resources in a cost-efficient manner without any major impact on the quality of video streams. To address this challenge, in this paper, we present the Cloud-based Video Streaming Service (CVSS) architecture to transcode video streams in an on-demand manner. The architecture provides a platform for streaming service providers to utilize cloud resources in a cost-efficient manner and with respect to the Quality of Service (QoS) demands of video streams. In particular, the architecture includes a QoS-aware scheduling method to efficiently map video streams to cloud resources, and a cost-aware dynamic ( i.e., elastic) resource provisioning policy that adapts the resource acquisition with respect to the video streaming QoS demands. Simulation results based on realistic cloud traces and with various workload conditions, demonstrate that the CVSS architecture can satisfy video streaming QoS demands and reduces the incurred cost of stream providers up to 70%.


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  • Model: PROJ7682
  • 999 Units in Stock
  • Manufactured by: ClickMyProjects

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This product was added to our catalog on Wednesday 09 August, 2017.