Han, Rui, Guo, Li, Ghanem, M.M and Guo, Yi-Ke (2012) Lightweight Resource Scaling for Cloud Applications. In: Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on. Institute of Electrical and Electronics Engineers, Reston, VA, USA, pp. 644-651. ISBN 978-0-7695-4691-9
Full text not available from this repository.
Official URL: http://dx.doi.org/10.1109/CCGrid.2012.52
Elastic resource provisioning is a key feature of cloud computing, allowing users to scale up or down resource allocation for their applications at run-time. To date, most practical approaches to managing elasticity are based on allocation/de-allocation of the virtual machine (VM) instances to the application. This VM-level elasticity typically incurs both considerable overhead and extra costs, especially for applications with rapidly fluctuating demands. In this paper, we propose a lightweight approach to enable cost-effective elasticity for cloud applications. Our approach operates fine-grained scaling at the resource level itself (CPUs, memory, I/O, etc) in addition to VM-level scaling. We also present the design and implementation of an intelligent platform for light-weight resource management of cloud applications. We describe our algorithms for light-weight scaling and VM-level scaling and show their interaction. We then use an industry standard benchmark to evaluate the effectiveness of our approach and compare its performance against traditional approaches.
|Item Type:||Book Section|
|Subjects:||Computer science > Software engineering|
|Schools:||Faculty of Science and Technology > School of Physical Sciences and Computing > John Tindall Institute for Nuclear Research|
|Deposited By:||Matthew Paul leslie Horton|
|Deposited On:||12 Sep 2013 13:49|
|Last Modified:||17 May 2016 12:44|
Downloads per month over past year
Downloads for past 30 days
Repository Staff Only: item control page