Skip to Main content Skip to Navigation
Conference papers

Autonomous and Energy-Aware Management of Large-Scale Cloud Infrastructures

Eugen Feller 1 Christine Morin 1
1 MYRIADS - Design and Implementation of Autonomous Distributed Systems
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Abstract : With the advent of cloud computing and the need for increasing amount of computing power, cloud infrastructure providers are now facilitating the deployment of large-scale data centers. In order to efficiently manage such environments three important properties have to be fulfilled by their resource management frameworks: (1) scalability; (2) autonomy (i.e. self-organization and healing); (3) energy-awareness. However, existing open-source cloud management stacks (e.g. Eucalyptus, Nimbus, OpenNebula, OpenStack) have a high degree of centralization and limited power management support. In this context, this PhD thesis focuses on more scalable, autonomic, and energy-aware resource management frameworks for large-scale cloud infrastructures. Particularly, a novel virtual machine (VM) management system based on a self-organizing hierarchical architecture called Snooze is proposed. In order to conserve energy, Snooze automatically transitions idle servers into a low-power mode (e.g. suspend). To favor idle times the system integrates a nature-inspired VM consolidation algorithm based on the Ant Colony Optimization (ACO).
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Eugen Feller Connect in order to contact the contributor
Submitted on : Friday, July 20, 2012 - 5:57:01 AM
Last modification on : Tuesday, October 19, 2021 - 11:58:53 PM
Long-term archiving on: : Sunday, October 21, 2012 - 2:20:31 AM


Files produced by the author(s)


  • HAL Id : hal-00676295, version 1


Eugen Feller, Christine Morin. Autonomous and Energy-Aware Management of Large-Scale Cloud Infrastructures. PhD Forum of the 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS PhD Forum), May 2012, Shanghai, China. ⟨hal-00676295⟩



Les métriques sont temporairement indisponibles