Reference : Energy-efficient scheduling on milliclusters with performance constraints
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/17369
Energy-efficient scheduling on milliclusters with performance constraints
English
Pinel, Frédéric mailto [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) >]
Bouvry, Pascal mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Khan, Samee U. [North Dakota State University]
2011
Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on
Yes
No
International
978-0-7695-4466-3
2011 IEEE/ACM International Conference on Green Computing and Communications (GreenCom 2011)
August, 2011
Chengdu
China
[en] millicomputing ; pipeline ; scheduling
[en] Today’s datacenters and large scale enterprise com- puting are power hungry. A lot of research effort is devoted in industry and academy to address this challenging issue. In this context, a new type of enterprise computing platform is being investigated. This computing platform is composed of hundred of millicomputers, each requiring orders of magnitude less power. However, this approach brings challenges that must be met in order to compete with the current practice. This paper addresses two such critical challenges. First, it suggests how to decompose large applications into smaller tasks, better suited to millicomputers. Then, it casts the performance oriented and energy efficient problem into a soft real-time scheduling problem, for which several algorithms are then proposed and evaluated. Sensitivity analysis is used to provide insights into the model, and plan the evaluation of the scheduling algorithms. The contention found in multi-core millicomputing processors is also accounted for.
http://hdl.handle.net/10993/17369
10.1109/GreenCom.2011.16

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