Title
Lightweight Resource Scaling for Cloud Applications
Abstract
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.
Year
DOI
Venue
2012
10.1109/CCGrid.2012.52
CCGrid
Keywords
Field
DocType
vm-level elasticity,resource deallocation,lightweight resource scaling,lightweight scaling,resource allocation algorithms,fine grain scaling,cloud application,elastic resource,virtual machine,cloud applications,cost effective elasticity,light-weight resource management,industry standard benchmark,virtual machines,cost-effective elasticity,resource level,resource allocation,vm level scaling,light-weight scaling,cloud computing,lightweight resource management,vm-level scaling,resource manager,resource management,cost effectiveness,quality of service,servers,databases
Resource management,Virtual machine,Computer science,Real-time computing,Provisioning,Resource allocation,Elasticity (economics),Scaling,Industry standard,Distributed computing,Cloud computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-1395-7
47
1.49
References 
Authors
13
4
Name
Order
Citations
PageRank
Rui Han17411.51
guo li233514.64
Moustafa Ghanem353853.05
Yike Guo41319165.32