Cost-effective resource configuration for cloud video streaming services

Yunyun Jiang, Xiaosong Ma, Wenguang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 - 2015 IEEE 21st International Conference on Parallel and Distributed Systems, ICPADS 2015
PublisherIEEE Computer Society
Pages430-439
Number of pages10
ISBN (Electronic)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

Publication series

NameProceedings of the International Conference on Parallel and Distributed Systems - ICPADS
Volume2016-January
ISSN (Print)1521-9097

Conference

Conference21st IEEE International Conference on Parallel and Distributed Systems, ICPADS 2015
Country/TerritoryAustralia
CityMelbourne
Period14/12/1517/12/15

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