Fast execution of the applications achieved through parallel execution of the processes. This is very easily achieved by high performance cluster (HPC) through concurrent processing with the help of its compute nodes. The HPC cluster provides super computing power using execution of dynamic load balancing algorithm on compute nodes of the clusters. The main objective of dynamic load balancing algorithm is to distribute even workload among the compute nodes for increasing overall efficiency of the clustered system. The logic of dynamic load balancing algorithm needs parallel programming. The parallel programming on the HPC cluster can achieve through massage passing interface in C programming. The MPI library plays very important role to build new load balancing algorithm. The workload on a HPC cluster system can be highly variable, increasing the difficulty of balancing the load across its compute nodes. This paper proposes new idea of existing dynamic load balancing algorithm, by mixing centralized and decentralized approach which is implemented on Rock cluster and maximum time it gives the better performance. This paper also gives comparison between previous dynamic load balancing algorithm and new dynamic load balancing algorithm.
| Published in | American Journal of Mathematical and Computer Modelling (Volume 2, Issue 2) |
| DOI | 10.11648/j.ajmcm.20170202.13 |
| Page(s) | 60-75 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
MPI, Parallel Programming, HPC Clusters, DLBA ARPLCLB, ARPLCPELB
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APA Style
Sharada Santosh Patil, Arpita Nirbhay Gopal. (2017). Dynamic Load Balancing Using Periodically Load Collection with Past Experience Policy on Linux Cluster System. American Journal of Mathematical and Computer Modelling, 2(2), 60-75. https://doi.org/10.11648/j.ajmcm.20170202.13
ACS Style
Sharada Santosh Patil; Arpita Nirbhay Gopal. Dynamic Load Balancing Using Periodically Load Collection with Past Experience Policy on Linux Cluster System. Am. J. Math. Comput. Model. 2017, 2(2), 60-75. doi: 10.11648/j.ajmcm.20170202.13
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Download@article{10.11648/j.ajmcm.20170202.13,
author = {Sharada Santosh Patil and Arpita Nirbhay Gopal},
title = {Dynamic Load Balancing Using Periodically Load Collection with Past Experience Policy on Linux Cluster System},
journal = {American Journal of Mathematical and Computer Modelling},
volume = {2},
number = {2},
pages = {60-75},
doi = {10.11648/j.ajmcm.20170202.13},
url = {https://doi.org/10.11648/j.ajmcm.20170202.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajmcm.20170202.13},
abstract = {Fast execution of the applications achieved through parallel execution of the processes. This is very easily achieved by high performance cluster (HPC) through concurrent processing with the help of its compute nodes. The HPC cluster provides super computing power using execution of dynamic load balancing algorithm on compute nodes of the clusters. The main objective of dynamic load balancing algorithm is to distribute even workload among the compute nodes for increasing overall efficiency of the clustered system. The logic of dynamic load balancing algorithm needs parallel programming. The parallel programming on the HPC cluster can achieve through massage passing interface in C programming. The MPI library plays very important role to build new load balancing algorithm. The workload on a HPC cluster system can be highly variable, increasing the difficulty of balancing the load across its compute nodes. This paper proposes new idea of existing dynamic load balancing algorithm, by mixing centralized and decentralized approach which is implemented on Rock cluster and maximum time it gives the better performance. This paper also gives comparison between previous dynamic load balancing algorithm and new dynamic load balancing algorithm.},
year = {2017}
}
TY - JOUR T1 - Dynamic Load Balancing Using Periodically Load Collection with Past Experience Policy on Linux Cluster System AU - Sharada Santosh Patil AU - Arpita Nirbhay Gopal Y1 - 2017/03/09 PY - 2017 N1 - https://doi.org/10.11648/j.ajmcm.20170202.13 DO - 10.11648/j.ajmcm.20170202.13 T2 - American Journal of Mathematical and Computer Modelling JF - American Journal of Mathematical and Computer Modelling JO - American Journal of Mathematical and Computer Modelling SP - 60 EP - 75 PB - Science Publishing Group SN - 2578-8280 UR - https://doi.org/10.11648/j.ajmcm.20170202.13 AB - Fast execution of the applications achieved through parallel execution of the processes. This is very easily achieved by high performance cluster (HPC) through concurrent processing with the help of its compute nodes. The HPC cluster provides super computing power using execution of dynamic load balancing algorithm on compute nodes of the clusters. The main objective of dynamic load balancing algorithm is to distribute even workload among the compute nodes for increasing overall efficiency of the clustered system. The logic of dynamic load balancing algorithm needs parallel programming. The parallel programming on the HPC cluster can achieve through massage passing interface in C programming. The MPI library plays very important role to build new load balancing algorithm. The workload on a HPC cluster system can be highly variable, increasing the difficulty of balancing the load across its compute nodes. This paper proposes new idea of existing dynamic load balancing algorithm, by mixing centralized and decentralized approach which is implemented on Rock cluster and maximum time it gives the better performance. This paper also gives comparison between previous dynamic load balancing algorithm and new dynamic load balancing algorithm. VL - 2 IS - 2 ER -
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