Energy-Aware Scheduling with Computing and Data Consolidation Balance in 3-tier Data Center

被引：0
作者：
Combarro, Manuel [1 ]
Tchernykh, Andrei [1 ]
Drozdov, Alexander [2 ]
Kliazovich, Dzmitry [3 ]
Radchenko, Gleb [4 ]
机构：
[1] CICESE Res Ctr, Ensenada, Baja California, Mexico
[2] Moscow Inst Phys & Technol, Moscow, Russia
[3] Univ Luxembourg, Luxembourg, Luxembourg
[4] South Ural State Univ, Chelyabinsk, Russia
来源：
2016 INTERNATIONAL CONFERENCE ON ENGINEERING AND TELECOMMUNICATION (ENT 2016) | 2016年
关键词：
data center; energy efficient; parallel machines; scheduling algorithms;
D O I：
10.1109/EnT.2016.13
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Energy consumption represents a large percentage of the operational expenses in data centers. Most of the existing solutions for energy-aware scheduling are focusing on job distribution and consolidation between computing servers, while network characteristics are not considered. In this paper, we propose a model of power and network-aware scheduling that can be tuned to achieve energy-savings, through job consolidation and traffic load balancing. We describe a methodology to find the best tuning of the Adjustable Scheduler.
引用
收藏
页码：29 / 33
页数：5
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