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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 1, 2016.
Abstract: In distributed computing environment, efficient task scheduling is essential to obtain high performance. A vital role of designing and development of task scheduling algorithms is to achieve better makes pan. Several task scheduling algorithms have been developed for homogeneous and heterogeneous distributed computing systems. In this paper, a new static task scheduling algorithm is proposed namely; Leveled DAG Critical Task First (LDCTF) that optimizes the performance of Leveled DAG Prioritized Task (LDPT) algorithm to efficiently schedule tasks on homogeneous distributed computing systems. LDPT was compared to B-level algorithm which is the most famous algorithm in homogeneous distributed systems and it provided better results. LDCTF is a list based scheduling algorithm which depends on sorting tasks into a list according to their priority then scheduling one by one on the suitable processor. LDCTF aims to improve the performance of the system by minimizing the schedule length than LDPT and B-level algorithms.
Amal EL-NATTAT, Nirmeen A. El-Bahnasawy and Ayman EL-SAYED, “A Leveled Dag Critical Task Firstschedule Algorithm in Distributed Computing Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 7(1), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070138
@article{EL-NATTAT2016,
title = {A Leveled Dag Critical Task Firstschedule Algorithm in Distributed Computing Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070138},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070138},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {1},
author = {Amal EL-NATTAT and Nirmeen A. El-Bahnasawy and Ayman EL-SAYED}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.