A Taxonomy of Evolutionary Inspired Solutions for Energy Management in Green Computing: Problems and Resolution Methods

A Taxonomy of Evolutionary Inspired Solutions for Energy Management in Green Computing: Problems and Resolution Methods
复制标题

DOI:
10.1007/978-3-642-30154-4_10
复制
发表时间:
2012
期刊:
--
影响因子:
--
通讯作者:
J. Kolodziej;S. Khan;Albert Y. Zomaya
J. Kolodziej;S. Khan;Albert Y. Zomaya
中科院分区:
其他
文献类型:
--
作者:
J. Kolodziej;S. Khan;Albert Y. Zomaya

文献摘要

被引文献

相似文献

在过去的几年里,工程师、研究人员和供应商已经联合起来设计和开发智能模型和算法,以限制大规模异构系统中计算设备中电能的使用。本章认识到有必要向科学界介绍关于绿色计算的进化启发解决方案的研究、当前趋势和未来工作的最新状态。
Over the last years, the engineers, researchers, and vendors have teamed up to design and develop the intelligent models and algorithms that constrict the use of electrical energy in computing devices in the large-scale heterogeneous systems. This chapter realizes the need to present to the scientific community a current state of the art on research, current trends, and future work on evolutionary inspired solutions for green computing.