caa a22 4500 445852321 CHVBK 20180317145417.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s11227-011-0559-7 doi (NATIONALLICENCE)springer-10.1007/s11227-011-0559-7 Power efficient scheduling heuristics for energy conservation in computational grids [Elektronische Daten] [Abdul Aziz, Hesham El-Rewini] Computation grids and computational clouds are becoming increasingly popular in the organizations which require massive computational capabilities. Building such infrastructures makes a lucrative business case, thanks to availability of cheap hardware components and affordable software. Maintaining computational grids or cloud, however, require careful planning as in such dedicated environments, round-the-clock availability of workstations is very crucial. Ensuring uninterrupted availability, not only demands mechanism for failover redundancy but also results in constant power drainage. The tradeoff between the cost and the performance is the constant dilemma that the operations of the data centers face today. In this paper, we propose various heuristics for power-aware scheduling algorithms for scheduling jobs with dependent tasks onto the computational grid. We formulate the problem as a multi-objective function which results in various cost-performance tradeoffs each lying within the solution boundary. Springer Science+Business Media, LLC, 2011 High performance computing nationallicence Energy conservation nationallicence Power aware computing nationallicence Grid computing nationallicence Scheduling algorithms nationallicence Aziz Abdul Department of Computer Science, National University of Computer and Emerging Sciences (FAST-NU), Lahore, Pakistan aut El-Rewini Hesham School of Engineering and Mines, University of North Dakota, Grand Forks, ND, USA aut The Journal of Supercomputing Springer US; http://www.springer-ny.com 57/1(2011-07-01), 65-80 0920-8542 57:1<65 2011 57 11227 https://doi.org/10.1007/s11227-011-0559-7 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11227-011-0559-7 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Aziz Abdul Department of Computer Science, National University of Computer and Emerging Sciences (FAST-NU), Lahore, Pakistan aut NATIONALLICENCE 700 1- El-Rewini Hesham School of Engineering and Mines, University of North Dakota, Grand Forks, ND, USA aut NATIONALLICENCE 773 0- The Journal of Supercomputing Springer US; http://www.springer-ny.com 57/1(2011-07-01), 65-80 0920-8542 57:1<65 2011 57 11227 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer