A taxonomy of application scheduling tools for high performance cluster computing

Application scheduling plays an important role in high-performance cluster computing. Application scheduling can be classified as job scheduling and task scheduling. This paper presents a survey on the software tools for the graphbased scheduling on cluster systems with the focus on task scheduling. The tasks of a parallel or distributed application can be properly scheduled onto multi-processors in order to optimize the performance of the program (e.g., execution time or resource utilization). In general, scheduling algorithms are designed based on the notion of task graph that represents the relationship of parallel tasks. The scheduling algorithms map the nodes of a graph to the processors in order to minimize overall execution time. Although many scheduling algorithms have been proposed in the literature, surprisingly not many practical tools can be found in practical use. After discussing the fundamental scheduling techniques, we propose a framework and taxonomy for the scheduling...

• Type: Journal
• Year: 2006
• Where: CLUSTER
• Authors: Jiannong Cao, Alvin T. S. Chan, Yudong Sun, Sajal K. Das, Minyi Guo
• Keywords: Application Scheduling, CLUSTER 2006, Distributed And Parallel Computing, Scheduling Tools, Task Scheduling