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Resource management for distributed parallel systems

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2 Author(s)
Neuman, B.C. ; Inf. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA ; Rao, S.

Multiprocessor systems should exist in the larger context of distributed systems, allowing multiprocessor resources to be shared by those that need them. Unfortunately, typical multiprocessor resource management techniques do not scale to large networks. The Prospero Resource Manager (PRM) is a scalable resource allocation system that supports the allocation of processing resources in large networks and multiprocessor systems. To manage resources in such distributed parallel systems, PRM employs three types of managers: system managers, job managers, and node managers. There exist multiple independent instances of each type of manager, reducing bottlenecks. The complexity of each manager is further reduced because each is designed to utilize information at an appropriate level of abstraction

Published in:

High Performance Distributed Computing, 1993., Proceedings the 2nd International Symposium on

Date of Conference:

20-23 Jul 1993