A New Task Scheduling Algorithm for Maximizing the Distributed Systems Efficiency
Author(s) -
Amal El-Nattat,
Nirmeen A. ElBahnasawy,
Ayman ElSayed
Publication year - 2015
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/19343-0279
Subject(s) - computer science , scheduling (production processes) , task (project management) , distributed computing , mathematical optimization , mathematics , systems engineering , engineering
task scheduling is essential to obtain high performance in distributed computing environment. Achieving a better makespan is a key issue in designing and development of task scheduling algorithms. Several algorithms have been proposed for homogeneous and heterogeneous distributed computing systems. In this paper, we proposed a new static scheduling algorithm called Leveled DAG Prioritized Task (LDPT) to efficiently schedule tasks on homogeneous distributed computing systems. LDPT aims to improve the efficiency of the system by minimizing the schedule length. Keywordsscheduling; Homogeneous distributed computing systems; Precedence constrained parallel applications; Directed Acyclic Graph.
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