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Additional info for Energy-Efficient Data Centers: Second International Workshop, E²DC 2013, Berkeley, CA, USA, May 21, 2013. Revised Selected Papers
2) In contrast, Green by IT or IT2Green comprises IT solutions that help to improve energy eﬃciency and sustainability in other domains. Typical examples are algorithms for optimizing truck routes. Energy eﬃcient clearly belongs to the area of Green IT. Beneath standard benchmarks on cycle time, CPU and memory usage this explicitly addresses software induced energy consumption too. Typically, the energy consumption induced by a software artifact is directly related to usage scenarios and its interaction with its hardware and software environment.
Predictability, however, is of signiﬁcant importance for the energy provider for operating economically and ecologically. Power that is provided by various kinds of power plants always relies on constraints that come with these diﬀering power plants and the power sources they use. For example, due to technical reasons, several models of diesel generators can only be used for a limited number of times a year; nuclear power plants can not provide power immediately after they are switched on. Thus, in general, there are four types of power plants that distinguish in reactiveness, ecologic footprint, and economic costs: 1.
Insertionsort is a naive sorting algorithm that belongs to the family of comparison sorting. In general insertion sort has a time complexity of O(n2 ) but is known to be eﬃcient on data sets which are already substantially sorted. Its average complexity is n2 /4 and linear in the best case. Furthermore insertion sort is an In-place algorithm that requires a constant amount O(1) of memory space. Mergesort , invented by John von Neumann, is a sorting algorithm that belongs to the family of comparison-based sorting.