Paper Info
Title
Trade-Off analysis of elasticity approaches for cloud-based business applications
Abstract
Infrastructure as a Service (IaaS) providers, such as Amazon Web Services, offer on-demand access to computing resources at pay-as-you-go prices. The key benefit of IaaS is elasticity, i.e., the ability to provision and de-provision resources at will. This feature makes IaaS infrastructure as the best platform for hosting web applications, e.g. e-business, that are subjected to highly-variable request patterns. However, elasticity can be triggered either on the basis of resource utilization or for meeting service level objectives (SLOs). In this paper, we extensively evaluate these two types of elasticity rules using the TPC-W benchmark on Amazon IaaS infrastructure. From this experimental data, we evaluate the performance of these rules against the primary metric of service level satisfaction for web applications, and secondary metrics such as resource utilization and cost. Through our inferences, we present a number of recommendations that would enable practitioners and cloud consumers using Amazon to define appropriate elasticity rules to meet their SLOs and other metrics.
Year
DOI
Venue
2012
10.1007/978-3-642-35063-4_34
WISE
Keywords
Field
DocType
cloud-based business application,elasticity approach,amazon web services,elasticity rule,meeting service level objective,resource utilization,web application,de-provision resource,amazon iaas infrastructure,appropriate elasticity rule,iaas infrastructure,trade-off analysis,computing resource
World Wide Web,Service level objective,Service level,Computer science,Amazon rainforest,Amazon web services,Web application,Elasticity (economics),Cloud computing
Conference
Citations 
PageRank 
References 
6
0.50
12
Authors
4
Name
Order
Citations
PageRank
Basem Suleiman1656.38
Sherif Sakr290168.86
SRIKUMAR VENUGOPAL34236294.23
Wasim Sadiq496268.16