H. Barkallah. International Journal of Grid Computing & Applications (IJGCA), 8 (3):
01-21(September 2017)
Abstract
Load balancing functionalities are crucial for best Grid performance and utilization. Accordingly,this paper presents a new meta-scheduling method called TunSys. It is inspired from the natural phenomenon of heat propagation and thermal equilibrium. TunSys is based on a Grid polyhedron model with a spherical like structure used to ensure load balancing through a local neighborhood propagation strategy. Furthermore, experimental results compared to FCFS, DGA and HGA show encouraging results in terms of system performance and scalability and in terms of load balancing efficiency.
%0 Journal Article
%1 barkallahtopology
%A Barkallah, Haitham
%D 2017
%J International Journal of Grid Computing & Applications (IJGCA)
%K computing grid
%N 3
%P 01-21
%T TOPOLOGY AWARE LOAD BALANCING FOR GRIDS
%U http://aircconline.com/ijgca/V8N3/8317ijgca01.pdf
%V 8
%X Load balancing functionalities are crucial for best Grid performance and utilization. Accordingly,this paper presents a new meta-scheduling method called TunSys. It is inspired from the natural phenomenon of heat propagation and thermal equilibrium. TunSys is based on a Grid polyhedron model with a spherical like structure used to ensure load balancing through a local neighborhood propagation strategy. Furthermore, experimental results compared to FCFS, DGA and HGA show encouraging results in terms of system performance and scalability and in terms of load balancing efficiency.
@article{barkallahtopology,
abstract = {Load balancing functionalities are crucial for best Grid performance and utilization. Accordingly,this paper presents a new meta-scheduling method called TunSys. It is inspired from the natural phenomenon of heat propagation and thermal equilibrium. TunSys is based on a Grid polyhedron model with a spherical like structure used to ensure load balancing through a local neighborhood propagation strategy. Furthermore, experimental results compared to FCFS, DGA and HGA show encouraging results in terms of system performance and scalability and in terms of load balancing efficiency.},
added-at = {2019-05-20T12:04:19.000+0200},
author = {Barkallah, Haitham},
biburl = {https://www.bibsonomy.org/bibtex/28a2ce2e5fc7f391d67ed85862cfa5415/himanhero},
interhash = {db4889bac5baca730ad4709a61ee4cb2},
intrahash = {8a2ce2e5fc7f391d67ed85862cfa5415},
issn = {0976-9404},
journal = {International Journal of Grid Computing & Applications (IJGCA)},
keywords = {computing grid},
month = {September},
number = 3,
pages = {01-21},
timestamp = {2019-05-20T12:04:19.000+0200},
title = {TOPOLOGY AWARE LOAD BALANCING FOR GRIDS },
url = {http://aircconline.com/ijgca/V8N3/8317ijgca01.pdf},
volume = 8,
year = 2017
}