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
Dr. Calvin J. Ribbens	Committee Chair
Dr. Dennis G. Kafura	Committee Member
Dr. Srinidhi Varadarajan	Committee Member

Keywords

fault tolerance
grid computing
grid job management systems
local resource manager
job migration

Date of Defense

2003-12-19

Availability

restricted

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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