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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Vydáno v:2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing s. 644 - 651
Hlavní autoři: Han, Rui, Guo, Li, Ghanem, Moustafa M., Guo, Yike
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.05.2012
Témata:
Cloud computing
lightweight scaling
Monitoring
Quality of service
resource allocation algorithms
Resource management
Servers
Time factors
ISBN:1467313955, 9781467313957
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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
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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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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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