A Data Scheduling Algorithm for Autonomous Distributed Real-Time Applications in Grid Computing

  • Authors:
  • Mohammed Eltayeb;Atakan Dogan;Fusun Ozguner

  • Affiliations:
  • Ohio State University;Anadolu University;Ohio State University

  • Venue:
  • ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
  • Year:
  • 2004

Quantified Score

Hi-index 0.00

Visualization

Abstract

Large-scale data intensive applications with real-time requirements are currently emerging in many disciplines of science engineering. Such applications can benefit from a Grid enviroment provided that an efficient solution to the following data scheduling problem can be found: Schedule the transfer of a set of large-scale data objects of distributed applications in a Grid environment so as to meet real-time constraints associated with these data transfers. Based on this premise, this paper focuses on the aforementioned problem and proposes a new effective path-selection based scheduling algorithm. The algorithm performs its optimization based on a schedule reflection model; a new cost sriterion that takes into account the satisfiability of each application as a whole. We show, by simulation, that our algorithm improves the performance of data intensive real-time applications.