Title page for ETD etd-12292003-134023


Type of Document Master's Thesis
Author Tadepalli, Sriram Satish
URN etd-12292003-134023
Title GEMS: A Fault Tolerant Grid Job Management System
Degree Master of Science
Department Computer Science
Advisory Committee
Advisor Name Title
Ribbens, Calvin J. Committee Chair
Kafura, Dennis G. Committee Member
Varadarajan, Srinidhi Committee Member
Keywords
  • fault tolerance
  • grid computing
  • grid job management systems
  • local resource manager
  • job migration
Date of Defense 2003-12-19
Availability unrestricted
Abstract
The Grid environments are inherently unstable. Resources join and leave

the environment without any prior notification. Application fault

detection, checkpointing and restart is of foremost importance in the

Grid environments. The need for fault tolerance is especially acute

for large parallel applications since the failure rate grows with the

number of processors and the duration of the computation.

A Grid job management system hides the heterogeneity of the Grid and the

complexity of the Grid protocols from the user. The user submits a job

to the Grid job management system and it finds the appropriate

resource, submits the job and transfers the output files to the user

upon job completion. However, current Grid job management systems do

not detect application failures.

The goal of this research is to develop a Grid job management system

that can efficiently detect application failures. Failed jobs are

restarted either on the same resource or the job is migrated to

another resource and restarted. The research also aims to identify the

role of local resource managers in the fault detection and migration

of Grid applications.

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