Lightweight Resource Scaling for Cloud Applications

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 a...

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Published in:2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing pp. 644 - 651
Main Authors: Han, Rui, Guo, Li, Ghanem, Moustafa M., Guo, Yike
Format: Conference Proceeding
Language:English
Published: IEEE 01.05.2012
Subjects:
Cloud computing
lightweight scaling
Monitoring
Quality of service
resource allocation algorithms
Resource management
Servers
Time factors
ISBN:1467313955, 9781467313957
Online Access:Get full text
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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.
AbstractList 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.
Author Guo, Li
Ghanem, Moustafa M.
Han, Rui
Guo, Yike
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  givenname: Rui
  surname: Han
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  givenname: Li
  surname: Guo
  fullname: Guo, Li
  email: liguo@imperial.ac.uk
  organization: Dept. of Comput., Imperial Coll. London, London, UK
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  givenname: Moustafa M.
  surname: Ghanem
  fullname: Ghanem, Moustafa M.
  email: mmg@imperial.ac.uk
  organization: Dept. of Comput., Imperial Coll. London, London, UK
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  givenname: Yike
  surname: Guo
  fullname: Guo, Yike
  email: y.guo@imperial.ac.uk
  organization: Dept. of Comput., Imperial Coll. London, London, UK
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Snippet 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....
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StartPage 644
SubjectTerms Cloud computing
lightweight scaling
Monitoring
Quality of service
resource allocation algorithms
Resource management
Servers
Time factors
Title Lightweight Resource Scaling for Cloud Applications
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