Reference : Energy Efficiency of Knowledge-Free Scheduling in Peer-to-Peer Desktop Grids
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/15395
Energy Efficiency of Knowledge-Free Scheduling in Peer-to-Peer Desktop Grids
English
Barrondo, Aritz [CICESE Research Center, Ensenada, Baja California, Mexico]
Tchernykh, Andrei [Universidad Autónoma de Nuevo Leon, Nuevo Leon, Mexico]
Shaeffer, Elisa [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Pecero, Johnatan mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
2-Jul-2012
2012 International Conference on High Performance Computing and Simulation (HPCS)
IEEE
105-111
Yes
International
978-1-4673-2361-1
High Performance Computing & Simulations (HPCS 2012)
July 2 - July 6
Madrid
Spain
[en] energy conservation ; peer-to-peer computing ; scheduling ; quality of service ; application characteristics ; performance of systems
[en] We address knowledge-free Bag-of-Tasks non-preemptive scheduling problem on heterogeneous grids, where scheduling decisions are free from information of resources and application characteristics. We consider a scheduling with task replications to overcome possible random bad resource allocation and ensure good performance. We analyze energy consumption of job allocation strategies based on variations of the replication threshold. In order to provide QoS and minimize energy consumption, we perform a joint analysis of two metrics. A case study is given and corresponding results indicate that proposed strategies reduce energy consumption without significant degradation in performance.
http://hdl.handle.net/10993/15395
10.1109/HPCSim.2012.6266898
Proceedings of the 2012 International Conference on High Performance Computing & Simulation (HPCS 2012)

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