DocumentCode :
2056353
Title :
Energy-Efficient Scheduling on Milliclusters with Performance Constraints
Author :
Pinel, Frederic ; Pecero, Johnatan E. ; Khan, Samee U. ; Bouvry, Pascal
Author_Institution :
Luxembourg Univ., Luxembourg
fYear :
2011
fDate :
4-5 Aug. 2011
Firstpage :
44
Lastpage :
49
Abstract :
Today´s datacenters and large scale enterprise computing 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. The millicomputing aims to significantly increase the energy efficiency of data centers by delivering high performance computing. 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.
Keywords :
computer centres; energy conservation; microcomputers; multiprocessing systems; power aware computing; processor scheduling; real-time systems; data centers; energy efficiency; energy efficient problem; energy-efficient scheduling; enterprise computing platform; high performance computing; large scale enterprise computing; milliclusters; millicomputers; multicore millicomputing processors; performance constraints; scheduling algorithms; sensitivity analysis; soft real-time scheduling problem; Energy consumption; Multicore processing; Pipeline processing; Processor scheduling; Program processors; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Green Computing and Communications (GreenCom), 2011 IEEE/ACM International Conference on
Conference_Location :
Sichuan
Print_ISBN :
978-1-4577-1006-3
Electronic_ISBN :
978-0-7695-4466-3
Type :
conf
DOI :
10.1109/GreenCom.2011.16
Filename :
6061296
Link To Document :
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