Title
Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud
Abstract
Recently introduced spot instances in the Amazon Elastic Compute Cloud (EC2) offer lower resource costs in exchange for reduced reliability; these instances can be revoked abruptly due to price and demand fluctuations. Mechanisms and tools that deal with the cost-reliability trade-offs under this schema are of great value for users seeking to lessen their costs while maintaining high reliability. We study how one such a mechanism, namely check pointing, can be used to minimize the cost and volatility of resource provisioning. Based on the real price history of EC2 spot instances, we compare several adaptive check pointing schemes in terms of monetary costs and improvement of job completion times. Trace-based simulations show that our approach can reduce significantly both price and the task completion times.
Year
DOI
Venue
2010
10.1109/CLOUD.2010.35
IEEE CLOUD
Keywords
Field
DocType
spot instances,checkpointing,spot instance,task completion time,reduced reliability,checkpointing mechanism,amazon elastic compute cloud,lower resource cost,job completion time,high reliability,ec2 spot instance,reliability,internet,real price history,cost-reliability trade-offs,middleware,resource provisioning,cloud computing,adaptive check,pricing,adaptive systems,probability density function,computational modeling,history
Middleware,Computer science,Adaptive system,Real-time computing,Provisioning,Fault tolerance,Probability density function,Volatility (finance),Cloud computing,Distributed computing,The Internet
Conference
ISBN
Citations 
PageRank 
978-0-7695-4130-3
123
7.34
References 
Authors
13
3
Search Limit
100123
Name
Order
Citations
PageRank
Sangho Yi153835.84
Derrick Kondo2154182.99
Artur Andrzejak31237.34