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Provisioning spot market cloud resources to create cost-effective virtual clusters

Citation

Voorsluys, W and Garg, SK and Buyya, R, Provisioning spot market cloud resources to create cost-effective virtual clusters, Lecture Notes in Computer Science Volume 7016: ICA3PP 2011, 24-26 October 2011, Melbourne, Australia, pp. 395-408. ISBN 978-3-642-24649-4 (2011) [Refereed Conference Paper]

Copyright Statement

Copyright 2011 Springer

DOI: doi:10.1007/978-3-642-24650-0_34

Abstract

Infrastructure-as-a-Service providers are offering their unused resources in the form of variable-priced virtual machines (VMs), known as "spot instances", at prices significantly lower than their standard fixed-priced resources. To lease spot instances, users specify a maximum price they are willing to pay per hour and VMs will run only when the current price is lower than the userís bid. This paper proposes a resource allocation policy that addresses the problem of running deadlineconstrained compute-intensive jobs on a pool of composed solely of spot instances, while exploiting variations in price and performance to run applications in a fast and economical way. Our policy relies on job runtime estimations to decide what are the best types of VMs to run each job and when jobs should run. Several estimation methods are evaluated and compared, using trace-based simulations, which take real price variation traces obtained from Amazon Web Services as input, as well as an application trace from the Parallel Workload Archive. Results demonstrate the effectiveness of running computational jobs on spot instances, at a fraction (up to 60% lower) of the price that would normally cost on fixed priced resources.

Item Details

Item Type:Refereed Conference Paper
Keywords:spot market, virtual clusters, cloud computing
Research Division:Information and Computing Sciences
Research Group:Distributed Computing
Research Field:Distributed and Grid Systems
Objective Division:Information and Communication Services
Objective Group:Computer Software and Services
Objective Field:Computer Time Leasing, Sharing and Renting Services
Author:Garg, SK (Dr Saurabh Garg)
ID Code:93884
Year Published:2011
Deposited By:Computing and Information Systems
Deposited On:2014-08-20
Last Modified:2014-12-08
Downloads:0

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