A Study of Grid Applications: Scheduling Perspective

TL;DR

This paper analyzes Grid application characteristics, focusing on job execution times and resource utilization, to inform better scheduling, resource management, and infrastructure planning in evolving Grid environments.

Contribution

It provides an empirical analysis of Grid application statistics and utilization patterns, highlighting their importance for scheduling and resource management.

Findings

Job execution times vary significantly across applications.

Resource utilization patterns influence scheduling efficiency.

Insights support improved cluster and network dimensioning.

Abstract

As the Grid evolves from a high performance cluster middleware to a multipurpose utility computing framework, a good understanding of Grid applications, their statistics and utilisation patterns is required. This study looks at job execution times and resource utilisations in a Grid environment, and their significance in cluster and network dimensioning, local level scheduling and resource management.