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A Methodology for Designing Energy-aware Systems for Computational Science
Author(s) -
Pablo C. Cañizares,
Alberto Núñez,
Manuel Núñez,
Juan José Pardo
Publication year - 2015
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2015.05.438
Subject(s) - correctness , computer science , energy consumption , field (mathematics) , energy (signal processing) , distributed computing , cloud computing , efficient energy use , point (geometry) , computational resource , computational science , computational complexity theory , algorithm , operating system , ecology , statistics , geometry , mathematics , pure mathematics , electrical engineering , biology , engineering
Energy consumption is currently one of the main issues in large distributed systems. More specifically, the efficient management of energy without losing performance has become a hot topic in the field. Thus, the design of systems solving complex problems must take into account energy efficiency. In this paper we present a formal methodology to check the correctness, from an energy-aware point of view, of large systems, such as HPC clusters and cloud environments, dedicated to computational science. Our approach uses a simulation platform, to model and simulate computational science environments, and metamorphic testing, to check the correctness of energy consumption in these systems

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