Enabling cost-aware and adaptive elasticity of multi-tier cloud applications

Han, Rui, Ghanem, Moustafa, Guo, Li, Guo, Yike and Osmond, Michelle (2012) Enabling cost-aware and adaptive elasticity of multi-tier cloud applications. Future Generation Computer Systems . ISSN 0167-739X [Article] (doi:10.1016/j.future.2012.05.018)


Elasticity (on-demand scaling) of applications is one of the most important features of cloud computing. This elasticity is the ability to adaptively scale resources up and down in order to meet varying application demands. To date, most existing scaling techniques can maintain applications’ Quality of Service (QoS) but do not adequately address issues relating to minimizing the costs of using the service. In this paper, we propose an elastic scaling approach that makes use of cost-aware criteria to detect and analyse the bottlenecks within multi-tier cloud-based applications. We present an adaptive scaling algorithm that reduces the costs incurred by users of cloud infrastructure services, allowing them to scale their applications only at bottleneck tiers, and present the design of an intelligent platform that automates the scaling process. Our approach is generic for a wide class of multi-tier applications, and we demonstrate its effectiveness against other approaches by studying the behaviour of an example e-commerce application using a standard workload benchmark.

Item Type: Article
Research Areas: A. > School of Science and Technology > Computer Science
Item ID: 12064
Depositing User: Users 3197 not found.
Date Deposited: 26 Sep 2013 14:16
Last Modified: 13 Oct 2016 14:28
URI: https://eprints.mdx.ac.uk/id/eprint/12064

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