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Towards Energy-Efficient, Scalable, and Resilient IaaS Clouds

Towards Energy-Efficient, Scalable, and Resilient IaaS Clouds
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Author(s): Eugen Feller (INRIA Centre Rennes - Bretagne Atlantique, France), Louis Rilling (Kerlabs, France)and Christine Morin (INRIA Centre Rennes - Bretagne Atlantique, France)
 Copyright: 2012
 Pages: 22
 Source title: Achieving Federated and Self-Manageable Cloud Infrastructures: Theory and Practice
Source Author(s)/Editor(s): Massimo Villari (Università degli Studi di Messina, Italy), Ivona Brandic (Vienna University of Technology, Austria)and Francesco Tusa (Università degli Studi di Messina, Italy)
 DOI: 10.4018/978-1-4666-1631-8.ch018

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Abstract

With increasing numbers of energy hungry data centers, energy conservation has now become a major design constraint for current and future Infrastructure-as-a-Service (IaaS) cloud providers. In order to efficiently manage such large-scale environments, three important properties have to be fulfilled by the management frameworks: (1) scalability, (2) fault-tolerance, and (3) energy-awareness. However, the scalability and fault tolerance capabilities of existing open-source IaaS cloud management frameworks are limited. Moreover, they are far from being energy-aware. This chapter first surveys existing efforts on building IaaS platforms. This includes both, system architectures and energy-aware virtual machine (VM) placement algorithms. Afterwards, it describes the architecture and implementation of a novel scalable, fault-tolerant, and energy-aware VM manager called Snooze. Finally, a nature-inspired energy-aware VM placement approach based on the Ant Colony Optimization is introduced.

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