Fault-tolerant grid architecture and practice

  • Authors:
  • Hai Jin;DeQing Zou;HanHua Chen;JianHua Sun;Song Wu

  • Affiliations:
  • Huazhong University of Science and Technology, Wuhan 430074, P.R. China;Huazhong University of Science and Technology, Wuhan 430074, P.R. China;Huazhong University of Science and Technology, Wuhan 430074, P.R. China;Huazhong University of Science and Technology, Wuhan 430074, P.R. China;Huazhong University of Science and Technology, Wuhan 430074, P.R. China

  • Venue:
  • Journal of Computer Science and Technology - Grid computing
  • Year:
  • 2003

Quantified Score

Hi-index 0.00

Visualization

Abstract

Grid computing emerges as effective technologies to couple geographically distributed resources and solve large-scale computational problems in wide area networked. The fault tolerance is a significant and complex issue in grid computing systems. Various techniques have been investigated to detect and correct faults in distributed computing systems. Unreliable fault detection is one of the most effective techniques. Globus as a grid middleware manages resources in a wide area network. The Globus fault detection service uses the well-known techniques based on unreliable fault detectors to detect and report component failures. However, more powerful techniques are required to detect and correct both system-level and application-level faults in a grid system, and a convenient toolkit is also needed to maintain the consistency in the grid. A fault-tolerant grid platform (FTGP) based on an unreliable fault detector and the Globus fault detection service is presented in this paper. The platform offers effective strategies in such three aspects as grid key components, user tasks, and high-level applications.