Cost-effective resource configuration for cloud video streaming services

Yunyun Jiang, Xiaosong Ma, Wenguang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Video streaming services are migrating to cloud environments for the economic expense with good scalability. However, cloud providers offer flexible resource configurations, e.g., on-demand, reserved and spot instances, with significant different pricing policies, of which one single configuration is suboptimal for cloud video streaming services. In this paper, we propose hybrid configuration schemes of cloud video streaming services to reduce the cost. To achieve this goal, we first introduce a lightweight prediction algorithm to predict the future video traffic. With the predicted video traffic, we then give the Hybrid-R hybrid configuration scheme by configuring both on-demand and reserved instances, and the Hybrid-RS hybrid configuration scheme by further configuring spot instances. Our evaluations using traces from real video service providers show that our configuration schemes can reduce cost by at least 20% compared to the unoptimized ones with negligible overhead.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
PublisherIEEE Computer Society
Pages430-439
Number of pages10
Volume2016-January
ISBN (Print)9780769557854
DOIs
Publication statusPublished - 15 Jan 2016
Event21st IEEE International Conference on Parallel and Distributed Systems, ICPADS 2015 - Melbourne, Australia
Duration: 14 Dec 201517 Dec 2015

Other

Other21st IEEE International Conference on Parallel and Distributed Systems, ICPADS 2015
CountryAustralia
CityMelbourne
Period14/12/1517/12/15

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ASJC Scopus subject areas

  • Hardware and Architecture

Cite this

Jiang, Y., Ma, X., & Chen, W. (2016). Cost-effective resource configuration for cloud video streaming services. In Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS (Vol. 2016-January, pp. 430-439). [7384324] IEEE Computer Society. https://doi.org/10.1109/ICPADS.2015.61