Network and Energy-Aware Resource Selection Model for Opportunistic Grids

被引：3
|
作者：
de Faria, Izaias [1 ]
Dantas, M. A. R. [1 ]
Capretz, Miriam A. M. [2 ]
Higashino, Wilson A. [2 ,3 ]
机构：
[1] Univ Fed Santa Catarina, Dept Informat & Stat INE, Res Lab Distributed Syst LaPeSD, Florianopolis, SC, Brazil
[2] Western Univ, Dept Elect & Comp Engn, London, ON, Canada
[3] Univ Estadual Campinas, Inst Computacao, Campinas, SP, Brazil
来源：
2014 IEEE 23RD INTERNATIONAL WETICE CONFERENCE (WETICE) | 2014年
关键词：
opportunistic grids; energy consumption; resource selection model;
D O I：
10.1109/WETICE.2014.31
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Due to increasing hardware capacity, computing grids have been handling and processing more data. This has led to higher amount of energy being consumed by grids; hence the necessity for strategies to reduce their energy consumption. Scheduling is a process carried out to define in which node tasks will be executed in the grid. This process can significantly impact the global system performance, including energy consumption. This paper focuses on a scheduling model for opportunistic grids that considers network traffic, distance between input files and execution node as well as the execution node status. The model was tested in a simulated environment created using GreenCloud. The simulation results of this model compared to a usual approach show a total power consumption savings of 7.10%.
引用
收藏
页码：167 / 172
页数：6
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