A framework for dynamic resource provisioning and adaptation in IaaS clouds

Publication Type

Conference Proceeding Article

Publication Date

11-2011

Abstract

Infrastructure-as-a-Service (IaaS) cloud computing provides the ability to dynamically acquire extra or release existing computing resources on-demand to adapt to dynamic application workloads. In this paper, we propose an extensible framework for on-demand cloud resource provisioning and adaptation. The core of the framework is a set of resource adaptation algorithms that are capable of making informed provisioning decisions to adapt to workload fluctuations. The framework is designed to manage multiple sets of resources acquired from different cloud providers, and to interact with different local resource managers. We have developed a fully functional web-service based prototype of this framework, and used it for performance evaluation of various resource adaptation algorithms under different realistic settings, e.g. when input data such as jobs' wall times are inaccurate. Extensive experiments have been conducted with both synthetic and real workload traces obtained from the Grid Workload Archives, more specifically the traces from the Large Hadron Collider Computing Grid. The results demonstrate the effectiveness and robustness of our proposed algorithms.

Discipline

Software Engineering

Research Areas

Software and Cyber-Physical Systems

Publication

Proceedings of the 3rd International Conference on Cloud Computing Technology and Science: 2011 IEEE, Athens, Greece, November 29 - December 1

Identifier

10.1109/CloudCom.2011.49

Publisher

IEEE

City or Country

Athens, Greece

Additional URL

https://doi.org/10.1109/CloudCom.2011.49

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