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 noauthororeditor
%A "Barkallah, Haitham"
%A "Gzara, Mariem "
%A "Ben Abdallah, Hanene "
%D 2017
%J International Journal of Grid Computing & Applications (IJGCA)
%K myown
%N 1
%R DOI:10.5121/ijgca.2017.8301
%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{noauthororeditor,
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 = {2017-09-29T15:14:59.000+0200},
author = {"Barkallah, Haitham" and "Gzara, Mariem " and "Ben Abdallah, Hanene "},
biburl = {https://www.bibsonomy.org/bibtex/27a55c25d4cbf027f9e564dd4c83f90ae/bhaitham},
doi = {DOI:10.5121/ijgca.2017.8301},
interhash = {5b50c5b92efc437ba7ff6f0c1f1db232},
intrahash = {7a55c25d4cbf027f9e564dd4c83f90ae},
journal = {International Journal of Grid Computing & Applications (IJGCA) },
keywords = {myown},
month = {9},
number = 1,
timestamp = {2017-09-29T15:14:59.000+0200},
title = {TOPOLOGY AWARE LOAD BALANCING FOR GRIDS},
url = {http://aircconline.com/ijgca/V8N3/8317ijgca01.pdf},
volume = 8,
year = 2017
}