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Towards Energy-Efficient, Scalable and Resilient IaaS Clouds

Eugen Feller 1 Louis Rilling 2 Christine Morin 1 
1 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
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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Submitted on : Wednesday, December 14, 2011 - 10:04:58 AM
Last modification on : Wednesday, February 2, 2022 - 3:50:49 PM


  • HAL Id : hal-00651740, version 1


Eugen Feller, Louis Rilling, Christine Morin. Towards Energy-Efficient, Scalable and Resilient IaaS Clouds. Massimo Villari and Ivona Brandic and Francesco Tusa. Achieving Federated and Self-Manageable Cloud Infrastructures: Theory and Practice, IGI Global, 2012. ⟨hal-00651740⟩



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