Hierarchical genetic-based grid scheduling with energy optimization

被引：0
|
作者：
Joanna Kołodziej
Samee Ullah Khan
Lizhe Wang
Aleksander Byrski
Nasro Min-Allah
Sajjad Ahmad Madani
机构：
[1] Cracow University of Technology,Institute of Computer Science
[2] North Dakota State University,NDSU
[3] Chinese Academy of Sciences,CIIT Green Computing and Communications Laboratory
[4] AGH University of Science and Technology,Center for Earth Observation
[5] COMSATS Institute of Information Technology,Department of Computer Science
来源：
Cluster Computing | 2013年 / 16卷
关键词：
Genetic algorithm; Hierarchical genetic strategy; Computational grid; Scheduling; Dynamic voltage; Frequency scaling;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
An optimization of power and energy consumptions is the important concern for a design of modern-day and future computing and communication systems. Various techniques and high performance technologies have been investigated and developed for an efficient management of such systems. All these technologies should be able to provide good performance and to cope under an increased workload demand in the dynamic environments such as Computational Grids (CGs), clusters and clouds.
引用
收藏
页码：591 / 609
页数：18
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