Network and Energy-Aware Resource Selection Model for Opportunistic Grids

Author

De Faria, Izaias ; Dantas, M.A.R. ; Capretz, Miriam A. M. ; Higashino, Wilson Akio

Author_Institution

Dept. of Inf. & Stat., Fed. Univ. of Santa Catarina (UFSC), Florianopolis, Brazil

fYear

2014

fDate

23-25 June 2014

Firstpage

167

Lastpage

172

Abstract

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 Green Cloud. The simulation results of this model compared to a usual approach show a total power consumption savings of 7.10%.

Keywords

computer networks; energy conservation; energy consumption; grid computing; power aware computing; resource allocation; scheduling; telecommunication traffic; GreenCloud; energy consumption; energy-aware resource selection model; execution node status; input files-execution node distance; network traffic; network-aware resource selection model; opportunistic grids; power consumption savings; scheduling model; Computational modeling; Computers; Energy consumption; Green products; Processor scheduling; Resource management; Scheduling; energy consumption; opportunistic grids; resource selection model;

fLanguage

English

Publisher

ieee

Conference_Titel

WETICE Conference (WETICE), 2014 IEEE 23rd International

Conference_Location

Parma

Type

conf

DOI

10.1109/WETICE.2014.31

Filename

6927044