Rui, Han, Ghanem, Moustafa, Li, Guoxi, Yike, Guo and Osmond, Michelle (2012) Enabling cost-aware and adaptive elasticity of multi-tier cloud applications. Future Generation Computer Systems .
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.future.2012.05.018
Elasticity (ondemandscaling) 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 bottle neck 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 examplee-commerce application using a standard work load benchmark.
|Uncontrolled Keywords (separate with ;):||Cloud computing; Elasticity; Multi-tierapplications; Cost-aware criteria; Adaptive scaling algorithm|
|Schools:||Faculty of Science and Technology > School of Physical Sciences and Computing|
|Deposited By:||Li Guo|
|Deposited On:||09 Feb 2016 18:16|
|Last Modified:||17 May 2016 12:58|
Downloads per month over past year
Downloads for past 30 days
Repository Staff Only: item control page