Location, location, location: exploring Amazon EC2 spot instance pricing across geographical regions

Nnamdi Nzegwu Ekwe-Ekwe, Adam David Barker

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

Abstract

Cloud computing is a ubiquitous part of the computing landscape. For many companies today, moving their computing infrastructure to the cloud reduces time to deployment and saves money. Spot Instances, a subset of Amazon's cloud computing infrastructure (EC2), expands upon this. They allow a user to bid on spare compute capacity in EC2 at heavily discounted prices. If other bids for the spare capacity exceeds the user's own, the user's instance is terminated. In this paper, we conduct one of the first detailed analyses of how location affects the overall cost of deployment of a Spot Instance. We analyse pricing data across all available AWS regions for 60 days for a variety of Spot Instances. We relate the pricing data we find to the overall AWS region and examine any patterns we see across the week. We find that location plays a critical role in Spot Instance pricing and that pricing differs, sometimes markedly, from region to region. We conclude by showing that it is indeed possible to run workloads on Spot Instances with low risk of termination and a low overall cost.
Original languageEnglish
Title of host publication2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
PublisherIEEE Computer Society
Pages370-373
ISBN (Electronic)9781538658154
ISBN (Print)9781538658161
DOIs
Publication statusPublished - 16 Jul 2018
Event18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID) - Washington, United States
Duration: 1 May 20184 May 2018
Conference number: 18
https://ccgrid2018.seas.gwu.edu/

Conference

Conference18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
Abbreviated titleCCGRID
Country/TerritoryUnited States
CityWashington
Period1/05/184/05/18
Internet address

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