Heterogeneous machines can be significantly better than homogeneous machines but for that an effective workload distribution policy is required. Maximum realization of the performance can be achieved when system designer will overcome load imbalance condition within the system. Load distribution and load balancing policy together can reduce total execution time and increase system throughput.
In this paper; we provide algorithm analysis of a threshold based job allocation and load balancing policy for heterogeneous system where all incoming jobs are judiciously and transparently distributed
among sharing nodes on the basis of jobs’ requirement and processor capability for the maximization of performance and decline in execution time. A brief discussion of job allocation, transfer and location policy is given with explanation of how load imbalance condition is solved within the system. A flow of scheme is given with essential code and analysis of present algorithm is given to show how this algorithm is better.
%0 Journal Article
%1 noauthororeditor
%A B.Saxena, Archana
%A Sharma, Deepti
%D 2011
%J International Journal of Advanced Information Technology (IJAIT)
%K Balancing Central Centralized Distribution Heterogeneous Initiative Load Receiver Sender Server Systems Threshold
%N 5
%P 39-53
%R 10.5121/ijait.2011.1505
%T ANALYSIS OF THRESHOLD BASED CENTRALIZED LOAD BALANCING POLICY FOR HETEROGENEOUS MACHINES
%U http://airccse.org/journal/IJAIT/papers/1011ijait05.pdf
%V 1
%X Heterogeneous machines can be significantly better than homogeneous machines but for that an effective workload distribution policy is required. Maximum realization of the performance can be achieved when system designer will overcome load imbalance condition within the system. Load distribution and load balancing policy together can reduce total execution time and increase system throughput.
In this paper; we provide algorithm analysis of a threshold based job allocation and load balancing policy for heterogeneous system where all incoming jobs are judiciously and transparently distributed
among sharing nodes on the basis of jobs’ requirement and processor capability for the maximization of performance and decline in execution time. A brief discussion of job allocation, transfer and location policy is given with explanation of how load imbalance condition is solved within the system. A flow of scheme is given with essential code and analysis of present algorithm is given to show how this algorithm is better.
@article{noauthororeditor,
abstract = {Heterogeneous machines can be significantly better than homogeneous machines but for that an effective workload distribution policy is required. Maximum realization of the performance can be achieved when system designer will overcome load imbalance condition within the system. Load distribution and load balancing policy together can reduce total execution time and increase system throughput.
In this paper; we provide algorithm analysis of a threshold based job allocation and load balancing policy for heterogeneous system where all incoming jobs are judiciously and transparently distributed
among sharing nodes on the basis of jobs’ requirement and processor capability for the maximization of performance and decline in execution time. A brief discussion of job allocation, transfer and location policy is given with explanation of how load imbalance condition is solved within the system. A flow of scheme is given with essential code and analysis of present algorithm is given to show how this algorithm is better. },
added-at = {2019-09-02T07:48:54.000+0200},
author = {B.Saxena, Archana and Sharma, Deepti},
biburl = {https://www.bibsonomy.org/bibtex/21e799d5df182014af8271af83d5d0045/ijaitislive},
doi = {10.5121/ijait.2011.1505},
interhash = {c6517940c5861aaf3954fb2f6a160723},
intrahash = {1e799d5df182014af8271af83d5d0045},
issn = {2231 - 1548 [Online] ; 2231 - 1920 [Print]},
journal = {International Journal of Advanced Information Technology (IJAIT) },
keywords = {Balancing Central Centralized Distribution Heterogeneous Initiative Load Receiver Sender Server Systems Threshold},
language = {English},
month = {October},
number = 5,
pages = {39-53},
timestamp = {2019-09-02T07:48:54.000+0200},
title = {ANALYSIS OF THRESHOLD BASED CENTRALIZED LOAD BALANCING POLICY FOR HETEROGENEOUS MACHINES },
url = {http://airccse.org/journal/IJAIT/papers/1011ijait05.pdf},
volume = 1,
year = 2011
}