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Open Access

QoS-Aware Virtual Machine Scheduling for Video Streaming Services in Multi-Cloud

Research Institute of Information Technology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing 100084, China
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Abstract

Video streaming services are trending to be deployed on cloud. Cloud computing offers better stability and lower price than traditional IT facilities. Huge storage capacity is essential for video streaming service. More and more cloud providers appear so there are increasing cloud platforms to choose. A better choice is to use more than one data center, which is called multi-cloud. In this paper a closed-loop approach is proposed for optimizing Quality of Service (QoS) and cost. Modules of monitoring and controlling data centers are required as well as the application feedback such as video streaming services. An algorithm is proposed to help choose cloud providers and data centers in a multi-cloud environment as a video service manager. Performance with different video service workloads are evaluated. Compared with using only one cloud provider, dynamically deploying services in multi-cloud is better in aspects of both cost and QoS. If cloud service costs are different among data centers, the algorithm will help make choices to lower the cost and keep a high QoS.

Keywords

cloud computingdynamic schedulingdata centersvideo streamingservice computingperformance evaluationQuality of Service (QoS)

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Tsinghua Science and Technology
Volume 18 Issue 3,
June 2013
Pages 308-317
DOI: 10.1109/TST.2013.6522589
Cite this article:
Chen W, Cao J, Wan Y. QoS-Aware Virtual Machine Scheduling for Video Streaming Services in Multi-Cloud. Tsinghua Science and Technology, 2013, 18(3): 308-317. https://doi.org/10.1109/TST.2013.6522589

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Received: 16 May 2013
Accepted: 16 May 2013
Published: 03 June 2013
© The author(s) 2013
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