A performance study of job management systems

Job Management Systems (JMSs) efficiently schedule and monitor jobs in parallel and distributed computing environments. Therefore, they are critical for improving the utilization of expensive resources in high-performance computing systems and centers, and an important component of grid software infrastructure. With many JMSs available commercially and in the public domain, it is difficult to choose an optimum JMS for a given computing environment.. In this paper, we present the results of the first empirical study of JMSs reported in the literature. Four commonly used systems, LSF, PBS Pro, Sun Grid Engine / CODINE, and Condor were considered. The study has revealed important strengths and weaknesses of these JMSs under different operational conditions. For example, LSF was shown to exhibit excellent throughput for a wide range of job types and submission rates. On the other hand, CODINE appeared to outperform other systems in terms of the average turnaround time for small jobs, and ...

• Type: Journal
• Year: 2004
• Where: CONCURRENCY
• Authors: Tarek A. El-Ghazawi, Kris Gaj, Nikitas A. Alexandridis, Frederic Vroman, Nguyen Nguyen, Jacek R. Radzikowski, Preeyapong Samipagdi, Suboh A. Suboh
• Keywords: Computing Environment, CONCURRENCY 2004, Grid Software Infrastructure, Job Management Systems