Multi-objective energy optimization in grid systems from a brain storming strategy
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| 001 | 605470839 | ||
| 003 | CHVBK | ||
| 005 | 20210128100330.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20151101xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00500-014-1474-7 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00500-014-1474-7 | ||
| 245 | 0 | 0 | |a Multi-objective energy optimization in grid systems from a brain storming strategy |h [Elektronische Daten] |c [María Arsuaga-Ríos, Miguel Vega-Rodríguez] |
| 520 | 3 | |a Nowadays, companies are more aware of an environmentally responsible use of computational resources. Terms like Green Computing promote energy savings in large-scale and distributed resource centers. Scheduling in distributed systems, as Grid Computing, is a challenging task in terms of time. Current research is considering energy savings as a new promising objective also for meta-schedulers. In this work, energy consumption and execution time are optimized simultaneously using a Multi-objective brain storm algorithm (MOBSA). This new algorithm is compared with two multi-objective algorithms: a novel algorithm based on the fireflies' behavior—Multi-objective firefly algorithm (MO-FA)—and the well-known Non-dominated Sorting Genetic Algorithm (NSGA-II). Furthermore, other comparisons with real grid meta-schedulers such as Workload Management System from gLite, and Deadline Budget Constraint from Nimrod-G are carried out. The results show that MOBSA provides the best performance in any of the scenarios studied here. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Scheduling |2 nationallicence | |
| 690 | 7 | |a Grid computing |2 nationallicence | |
| 690 | 7 | |a Swarm |2 nationallicence | |
| 690 | 7 | |a Multi-objective optimization |2 nationallicence | |
| 690 | 7 | |a Brain storming |2 nationallicence | |
| 690 | 7 | |a Energy consumption |2 nationallicence | |
| 690 | 7 | |a Execution time |2 nationallicence | |
| 700 | 1 | |a Arsuaga-Ríos |D María |u Information Technology Department, European Organization for Nuclear Research, CERN, 1211, Geneva 23, Switzerland |4 aut | |
| 700 | 1 | |a Vega-Rodríguez |D Miguel |u ARCO Research Group, Department Technologies of Computers and Communications, University of Extremadura, Escuela Politecnica, Campus Universitario s/n, 10003, Cáceres, Spain |4 aut | |
| 773 | 0 | |t Soft Computing |d Springer Berlin Heidelberg |g 19/11(2015-11-01), 3159-3172 |x 1432-7643 |q 19:11<3159 |1 2015 |2 19 |o 500 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00500-014-1474-7 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00500-014-1474-7 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Arsuaga-Ríos |D María |u Information Technology Department, European Organization for Nuclear Research, CERN, 1211, Geneva 23, Switzerland |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Vega-Rodríguez |D Miguel |u ARCO Research Group, Department Technologies of Computers and Communications, University of Extremadura, Escuela Politecnica, Campus Universitario s/n, 10003, Cáceres, Spain |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Soft Computing |d Springer Berlin Heidelberg |g 19/11(2015-11-01), 3159-3172 |x 1432-7643 |q 19:11<3159 |1 2015 |2 19 |o 500 | ||