Experimental Study of Remote Job Submission and Execution on LRM through Grid Computing Mechanisms

TL;DR

This paper experimentally investigates remote job submission and execution using LRM and Grid computing, highlighting mechanisms, challenges, and troubleshooting to aid researchers in distributed resource management.

Contribution

It provides an experimental comparison of LRM-based and Grid-based remote job execution methods, including troubleshooting strategies for Grid environments.

Findings

Demonstrated effective remote job submission via LRM and Grid

Identified common problems and solutions in Grid computing environments

Provided experimental data to guide future research in distributed job management

Abstract

Remote job submission and execution is fundamental requirement of distributed computing done using Cluster computing. However, Cluster computing limits usage within a single organization. Grid computing environment can allow use of resources for remote job execution that are available in other organizations. This paper discusses concepts of batch-job execution using LRM and using Grid. The paper discusses two ways of preparing test Grid computing environment that we use for experimental testing of concepts. This paper presents experimental testing of remote job submission and execution mechanisms through LRM specific way and Grid computing ways. Moreover, the paper also discusses various problems faced while working with Grid computing environment and discusses their trouble-shootings. The understanding and experimental testing presented in this paper would become very useful to researchers who are new to the field of job management in Grid.