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
%D 2017
%J International Journal of Grid Computing & Applications (IJGCA)
%K Grid balancing computing distribute dynamic fault load meta-scheduling network secret-based tolerance topology-awared
%N 1/2/3
%P 1-21
%R 10.5121/ijgca.2017.8301
%T OPOLOGY 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 = {2018-05-09T11:27:20.000+0200},
author = {Barkallah, Haitham},
biburl = {https://www.bibsonomy.org/bibtex/2db543ca7db3f68bb7dd0811b9bde33eb/ijgcajournal},
doi = {10.5121/ijgca.2017.8301},
interhash = {af5ad83851789a3187799835384ec12d},
intrahash = {db543ca7db3f68bb7dd0811b9bde33eb},
issn = {0976-9404},
journal = {International Journal of Grid Computing & Applications (IJGCA)},
keywords = {Grid balancing computing distribute dynamic fault load meta-scheduling network secret-based tolerance topology-awared},
month = {September},
number = {1/2/3},
pages = {1-21},
timestamp = {2018-05-09T11:27:20.000+0200},
title = {OPOLOGY AWARE LOAD BALANCING FOR GRIDS},
url = {http://aircconline.com/ijgca/V8N3/8317ijgca01.pdf},
volume = 8,
year = 2017
}