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  1. Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing (CLOUD '09)
  2. Autonomic virtual resource management for service hosting platforms
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Autonomic virtual resource management for service hosting platforms
Network-aware migration control and scheduling of differentiated virtual machine workloads
Performance model driven QoS guarantees and optimization in clouds
What's inside the Cloud? An architectural map of the Cloud landscape
Engineering the cloud from software modules
Virtualized recomposition: Cloudy or clear?
Taking account of privacy when designing cloud computing services
Experiencing with the Cloud over gLite
Software deployment in a dynamic cloud: From device to service orientation in a hospital environment

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Autonomic virtual resource management for service hosting platforms

Content Provider ACM Digital Library
Author Nguyen Van, Hien Dang Tran, Frederic Menaud, Jean-Marc
Abstract Cloud platforms host several independent applications on a shared resource pool with the ability to allocate computing power to applications on a per-demand basis. The use of server virtualization techniques for such platforms provide great flexibility with the ability to consolidate several virtual machines on the same physical server, to resize a virtual machine capacity and to migrate virtual machine across physical servers. A key challenge for cloud providers is to automate the management of virtual servers while taking into account both high-level QoS requirements of hosted applications and resource management costs. This paper proposes an autonomic resource manager to control the virtualized environment which decouples the provisioning of resources from the dynamic placement of virtual machines. This manager aims to optimize a global utility function which integrates both the degree of SLA fulfillment and the operating costs. We resort to a Constraint Programming approach to formulate and solve the optimization problem. Results obtained through simulations validate our approach.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781424437139
DOI 10.1109/CLOUD.2009.5071526
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2009-05-23
Access Restriction Subscribed
Content Type Text
Resource Type Article
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