Title :
Resource management for distributed parallel systems
Author :
Neuman, B. Clifford ; Rao, Santosh
Author_Institution :
Inf. Sci. Inst., Univ. of Southern California, Los Angeles, CA, USA
Abstract :
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
Keywords :
multiprocessing systems; performance evaluation; resource allocation; Prospero Resource Manager; complexity; distributed parallel systems; job managers; multiprocessor resources; node managers; resource management; scalable resource allocation system; system managers; Application software; Control systems; Multiprocessing systems; Operating systems; Parallel processing; Processor scheduling; Prototypes; Resource management; Scalability; Tellurium;
Conference_Titel :
High Performance Distributed Computing, 1993., Proceedings the 2nd International Symposium on
Conference_Location :
Spokane, WA
Print_ISBN :
0-8186-3900-8
DOI :
10.1109/HPDC.1993.263828