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The GREEN-NET framework: Energy efficiency in large scale distributed systems
The question of energy savings has been a matter of concern since a long time in the mobile distributed systems and battery-constrained systems. However, for large-scale non-mobile distributed systems, which nowadays reach impressive sizes, the energy dimension (electrical consumption) just starts to be taken into account. In this paper, we present the GREEN-NET1 framework which is based on 3 main components: an ON/OFF model based on an Energy Aware Resource Infrastructure (EARI), an adapted Resource Management System (OAR) for energy efficiency and a trust delegation component to assume network presence of sleeping nodes.
adapted resource management system, GREEN-NET framework, [INFO.INFO-NI] Computer Science/Networking and Internet Architecture, energy savings, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], large-scale distributed systems, energy aware resource infrastructure, mobile distributed systems, energy efficiency
adapted resource management system, GREEN-NET framework, [INFO.INFO-NI] Computer Science/Networking and Internet Architecture, energy savings, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], large-scale distributed systems, energy aware resource infrastructure, mobile distributed systems, energy efficiency
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).57 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.Average 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 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
