Architectural models for resource management in the grid

Rajkumar Buyya, Steve Chapin, David Dinucci

Research output: Chapter in Book/Entry/PoemConference contribution

49 Scopus citations


The concept of coupling geographically distributed (high-end) resources for solving large-scale problems is becoming increasingly popular, forming what is popularly called grid computing. The management of resources in the grid environment becomes complex as they are (geographically) distributed, heterogeneous in nature, owned by different individuals/organizations each having their own resource management policies and different access-and-cost models. In this scenario, a number of alternatives exist while creating a framework for grid resource management. In this paper, we discuss the three alternative models-hierarchical, abstract owner, and market-for grid resource management architectures. The hierarchical model exhibits the approach followed in (many) contemporary grid systems. The abstract owner model follows an order and delivery approach in job submission and result gathering. The (computational) market model captures the essentials of both hierarchical and abstract owner models and proposes the use of computational economy in the development of grid resource management systems.

Original languageEnglish (US)
Title of host publicationGrid Computing - GRID 2000 - 1st IEEE/ACM International Workshop, Proceedings
EditorsRajkumar Buyya, Mark Baker
PublisherSpringer Verlag
Number of pages18
ISBN (Print)3540414037, 9783540414032
StatePublished - 2000
Event1st Annual IEEE/ACM International Workshop on Grid Computing, GRID 2000 - Bangalore, India
Duration: Dec 17 2000Dec 17 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other1st Annual IEEE/ACM International Workshop on Grid Computing, GRID 2000

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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