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Provisioning spot market cloud resources to create cost-effective virtual clusters
conference contribution
posted on 2023-05-23, 09:13 authored by Voorsluys, W, Saurabh GargSaurabh Garg, Buyya, RInfrastructure-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 user’s 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.
History
Publication title
Lecture Notes in Computer Science Volume 7016: ICA3PP 2011Editors
Y Xiang, A Cuzzocrea, M Hobbs, W ZhouPagination
395-408ISBN
978-3-642-24649-4Department/School
School of Information and Communication TechnologyPublisher
Springer-VerlagPlace of publication
GermanyEvent title
11th International Conference on Algorithms and Architectures for Parallel ProcessingEvent Venue
Melbourne, AustraliaDate of Event (Start Date)
2011-10-24Date of Event (End Date)
2011-10-26Rights statement
Copyright 2011 SpringerRepository Status
- Restricted