A Comparison of Queueing, Cluster and Distributed Computing Systems

Authors:
Kaplan Joseph A.;Nelson Michael L.
Affiliations:
-;-
Venue:
A Comparison of Queueing, Cluster and Distributed Computing Systems
Year:
1994

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Abstract

Using workstations clusters for distributed computing has become popular with the proliferation of inexpensive, powerful workstations. Workstation clusters offer both a cost effective alternative to batch processing and an easy entry into parallel computing. However, a number of workstations on a network does not constitute a cluster. Cluster management software is necessary to harness the collective computing power. In this paper, we compare a variety of cluster management and queueing systems: COmputing in DIstributed Networked Environments (CODINE), Condor, CONNECT:Queue (formerly NQS/Exec), Distributed Job Manager (DJM), Distributed Queueing System (DQS), Load Balancer, LoadLeveler, Load Sharing Facility (LSF), NC TOOLSET, Network Queueing Environment (NQE), Portable Batch System (PBS), and Task Broker. The systems differ in their design philosophy and implementation. Based on published reports on the different systems and conversations with the developers and vendors, a comparison of the systems is made on the integral issues of clustered computing.