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Energy-aware simulation with DVFS

In recent years, research has been conducted in the area of large systems models, especially distributed systems, to analyze and understand their behavior. Simulators are now commonly used in this area and are becoming more complex. Most of them provide frameworks for simulating application scheduling in various Grid infrastructures, others are specifically developed for modeling networks, but only a few of them simulate energy-efficient algorithms. This article describes which tools need to be implemented in a simulator in order to support energy-aware experimentation. The emphasis is on DVFS simulation, from its implementation in the simulator CloudSim to the whole methodology adopted to validate its functioning. In addition, a scientific application is used as a use case in both experiments and simulations, where the close relationship between DVFS efficiency and hardware architecture is highlighted. A second use case using Cloud applications represented by DAGs, which is also a new functionality of CloudSim, demonstrates that the DVFS efficiency also depends on the intrinsic middleware behavior.
- L Hoffman La Roche Switzerland
- French Institute for Research in Computer Science and Automation France
- University of Melbourne Australia
- National Polytechnic Institute of Toulouse France
- Intelligence and National Security Alliance United States
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], [ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Système d'exploitation, Réseaux et télécommunications, 080501 - Distributed and Grid Systems, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Architectures Matérielles, energy consumption, computer simulation, computational grids (computer systems), Cloud computing, [ INFO.INFO-ES ] Computer Science [cs]/Embedded Systems, DVFS, Energy-efficiency, 000, cloud computing, Systèmes embarqués, 004, 080110 - Simulation and Modelling, Grid computing, [ INFO.INFO-OS ] Computer Science [cs]/Operating Systems [cs.OS], [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, [ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR], [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], Simulation
[INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR], [ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI], Système d'exploitation, Réseaux et télécommunications, 080501 - Distributed and Grid Systems, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], Architectures Matérielles, energy consumption, computer simulation, computational grids (computer systems), Cloud computing, [ INFO.INFO-ES ] Computer Science [cs]/Embedded Systems, DVFS, Energy-efficiency, 000, cloud computing, Systèmes embarqués, 004, 080110 - Simulation and Modelling, Grid computing, [ INFO.INFO-OS ] Computer Science [cs]/Operating Systems [cs.OS], [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, [ INFO.INFO-AR ] Computer Science [cs]/Hardware Architecture [cs.AR], [INFO.INFO-OS]Computer Science [cs]/Operating Systems [cs.OS], Simulation
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).124 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 1% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10% visibility views 15 download downloads 31 - 15views31downloads
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