DJSB: Dynamic Job Scheduling Benchmark

• Published in: Job Scheduling Strategies for Parallel Processing Vol. 10773; pp. 174 - 188
• Main Authors: Lopez, Victor, Jokanovic, Ana, D’Amico, Marco, Garcia, Marta, Sirvent, Raul, Corbalan, Julita
• Format: Book Chapter Publication
• Language: English
• Published: Switzerland Springer International Publishing AG 01.01.2018; Springer International Publishing; Springer
• Series: Lecture Notes in Computer Science
• Subjects: Benchmark; Dynamic resource management; High performance computing; Informàtica; Job scheduling; Performance evaluation; Supercomputadors; Àrees temàtiques de la UPC
• ISBN: 9783319773971; 3319773976
• ISSN: 0302-9743; 1611-3349; 1611-3349
• DOI: 10.1007/978-3-319-77398-8_10

High-performance computing (HPC) systems are very big and powerful systems, with the main goal of achieving maximum performance of parallel jobs. Many dynamic factors influence the performance which makes this goal a non-trivial task. According to our knowledge, there is no standard tool to automatize performance evaluation through comparing different configurations and helping system administrators to select the best scheduling policy or the best job scheduler. This paper presents the Dynamic Job Scheduler Benchmark (DJSB). It is a configurable tool that compares performance metrics for different scenarios. DJSB receives a workload description and some general arguments such as job submission commands and generates performance metrics and performance plots. To test and present DJSB, we have compared three different scenarios with dynamic resource management strategies using DJSB experiment-driven tool. Results show that just changing some DJSB arguments we can set up and execute quite different experiments, making easy the comparison. In this particular case, a cooperative-dynamic resource management is evaluated compared with other resource management approaches.