Utopia: a load sharing facility for large, heterogeneous distributed computer systems
Software—Practice & Experience
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Scalable Parallel Computing: Technology,Architecture,Programming
Scalable Parallel Computing: Technology,Architecture,Programming
In cloud, do MTC or HTC service providers benefit from the economies of scale?
Proceedings of the 2nd Workshop on Many-Task Computing on Grids and Supercomputers
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One important component of grid software infrastructure and parallel systems management is the Job Management System (JMS). With many JMSs available commercially and in public domain, it is difficult to choose the most efficient JMS for a given computing environment. All previous comparisons of JMSs had only a conceptual character. In this paper, we present the results of the first empirical study of JMSs reported in the literature. Two most popular commercial systems, LSF and PBS Pro, were included in our study. 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, PBS appeared to excel in terms of turn-around time. Whenever possible, our study have tried to identify and explain the reasons behind the observed behavior of investigated JMSs.