Electrical and Computer Engineering Publications
Document Type
Conference Proceeding
Publication Date
6-2014
Journal
Procedings of the CDCGM 2014 track of the 23rd IEEE WETICE Conference
URL with Digital Object Identifier
http://dx.doi.org/10.1109/WETICE.2014.31
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 GreenCloud. The simulation results of this model compared to a usual approach show a total power consumption savings of 7.10%.
Notes
Copyright: http://www.ieee.org/documents/ieeecopyrightform.pdf