Energy efficient genetic-based schedulers in computational grids

Author:

Kołodziej Joanna1,Khan Samee Ullah2,Wang Lizhe3,Zomaya Albert Y.4

Affiliation:

1. Department of Mathematics and Computer Science; University of Bielsko-Biała; ul. Willowa 2, 43-309 Bielsko-Biała Poland

2. Department of Electrical and Computer Engineering; North Dakota State University; Fargo ND, 58108-5060 USA

3. Center for Earth Observation and Digital Earth; Chinese Academy of Sciences; China

4. School of Information Technologies; University of Sydney; Sydney NSW 2006 Australia

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Reference43 articles.

1. Hybrid multiconverter conditioner topology for high-power applications;Milaneś-Montero;IEEE Transactions on Industrial Electronics,2011

2. Process allocation algorithms for saving power consumption in peer-to-peer systems;Enokido;IEEE Transactions on Industrial Electronics,2011

3. Power efficient rate monotonic scheduling for multi-core systems;Min-Allah;Journal of Parallel and Distributed Computing,2011

4. A cooperative game theoretical technique for joint optimization of energy consumption and response time in computational grids;Khan;IEEE Transactions on Parallel and Distributed Systems,2009

5. Multi-organization scheduling approximation algorithms;Cohen;Concurrency and Computation: Practice and Experience (CCPE),2011

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