DocumentCode
3501340
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
fYear
1993
fDate
20-23 Jul 1993
Firstpage
316
Lastpage
323
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;
fLanguage
English
Publisher
ieee
Conference_Titel
High Performance Distributed Computing, 1993., Proceedings the 2nd International Symposium on
Conference_Location
Spokane, WA
Print_ISBN
0-8186-3900-8
Type
conf
DOI
10.1109/HPDC.1993.263828
Filename
263828
Link To Document