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Fuzzy Min – Max Scheduling (FMiMaS) for Computational Grids

A. Kumar1 , H. Pathak2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 567-575, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.567575

Online published on Jun 30, 2018

Copyright © A. Kumar, H. Pathak . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: A. Kumar, H. Pathak, “Fuzzy Min – Max Scheduling (FMiMaS) for Computational Grids,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.567-575, 2018.

MLA Style Citation: A. Kumar, H. Pathak "Fuzzy Min – Max Scheduling (FMiMaS) for Computational Grids." International Journal of Computer Sciences and Engineering 6.6 (2018): 567-575.

APA Style Citation: A. Kumar, H. Pathak, (2018). Fuzzy Min – Max Scheduling (FMiMaS) for Computational Grids. International Journal of Computer Sciences and Engineering, 6(6), 567-575.

BibTex Style Citation:
@article{Kumar_2018,
author = {A. Kumar, H. Pathak},
title = {Fuzzy Min – Max Scheduling (FMiMaS) for Computational Grids},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {567-575},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2223},
doi = {https://doi.org/10.26438/ijcse/v6i6.567575}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.567575}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2223
TI - Fuzzy Min – Max Scheduling (FMiMaS) for Computational Grids
T2 - International Journal of Computer Sciences and Engineering
AU - A. Kumar, H. Pathak
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 567-575
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

With the fast expansion in wide area networks leading to availability of low cost fundamental computational resources, the popularity of computational grids has increased. Effective load balancing and scheduling are the key concerns for meeting QoS requirements of users for computational grids. Fuzzy Logic contributes to handle the uncertainties involved in processors’ load and tasks’ execution length during scheduling decisions to ensure a better load balancing in distributed systems. In an effort to enhance the previously proposed and implemented dynamic load balancing algorithms for hierarchical and distributed computational grids viz. DLBCGBH – H / D, Fuzzy based Min – Max Scheduling (FMiMaS) is proposed in this paper which when integrated with the Local scheduling proposed in DLBCGBH – H / D, devises its enhanced version viz. ‘Hierarchical with Fuzzy’ & ‘Distributed with Fuzzy’ approaches based on Hybrid Scheduling. It is implemented using GridSim 4.0 and the comparison of simulation results with DLBCGBH – H / D and Built-in Space Shared utility of GridSim 4.0 demonstrate tremendous improvements in terms of the performance metrics viz. Average Consumed Time, Average Processing Cost and Average Waiting Time.

Key-Words / Index Term

Computational Grid, Distributed, Hierarchal, Fuzzy Logic, Space Shared, Load Balancing, Scheduling, Binary Heaps, Fuzzy Min – Max Scheduling, Hybrid Scheduling, FMiMaS

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