DocumentCode
3107093
Title
A heuristic job scheduling algorithm for minimizing the waiting time variance
Author
Mahapatra, Satyasundara ; Dash, Rati Ranjan ; Pradhan, Sateesh Kumar
Author_Institution
Dept. of Comput. Sci., Utkal Univ., Bhubaneswar, India
fYear
2015
fDate
25-27 Feb. 2015
Firstpage
446
Lastpage
451
Abstract
Scheduling number of jobs in a single machine is a “Uni-machine job scheduling problem”. The mean of variation of job´s waiting time is called Waiting time Variance (WTV). Minimization of WTV directly improves the quality of service (QoS) of systems involved with job scheduling. WTV minimization is a NP-hard problem. As a matter of fact minimization of the WTV on computer networks can lead to stable and predictable network performance. The main objective of this paper is to provide a secure and predictable computer and network systems by proposing a heuristic based novel approach to minimize the WTV. This approach illustrated with small size problems along with randomly new generated problems. The experimental results are compared with existing approaches. The experimental result shows the proposed approach gives best performance for the compared approaches and problems tested. The findings of intended algorithm are shown in the form of table for consonant problems.
Keywords
computational complexity; computer networks; minimisation; quality of service; scheduling; NP-hard problem; QoS; WTV minimization; computer networks; consonant problems; heuristic job scheduling algorithm; quality of service; unimachine job scheduling problem; waiting time variance minimization; Computers; Job shop scheduling; Minimization; Processor scheduling; Quality of service; Spirals; Computer Networks; Job Scheduling; Quality of Services; Waiting Time Variance;
fLanguage
English
Publisher
ieee
Conference_Titel
Futuristic Trends on Computational Analysis and Knowledge Management (ABLAZE), 2015 International Conference on
Conference_Location
Noida
Print_ISBN
978-1-4799-8432-9
Type
conf
DOI
10.1109/ABLAZE.2015.7155026
Filename
7155026
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