Lightweight Resource Scaling for Cloud Applications

Han, Rui, Guo, Li orcid iconORCID: 0000-0003-1272-8480, 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 (IEEE), Reston, VA, USA, pp. 644-651. ISBN 978-0-7695-4691-9

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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.

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