JOURNAL ARTICLE

An Extensible Resource Discovery Mechanism for Grid Computing Environments

Abstract

Grid computing is emerging as a new infrastructure to provide collaborative and secure resource sharing over multiple geographically distributed organizations. In this scenario, resource discovery is a very important component, since it is responsible to retrieve information about the resources that compose the grid. Traditionally, the kind of data to be retrieved by resource discovery mechanisms is statically defined. In a highly heterogeneous and dynamic environment such as a grid, statically defined searches are usually inappropriate. In this paper, we propose and evaluate an extensible resource discovery mechanism for grid systems, where the basic resource information retrieval can be extended to include userdefined specific resource searches. Our experimental results show that the proposed mechanism is able to incorporate new searches to our grid resource discovery service in reasonable time.

Keywords:
Computer science Grid computing Grid Semantic grid Distributed computing Resource (disambiguation) DRMAA Mechanism (biology) Shared resource Extensibility Resource management (computing) Component (thermodynamics) Database World Wide Web Computer network Operating system

Metrics

26
Cited By
1.68
FWCI (Field Weighted Citation Impact)
14
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Distributed and Parallel Computing Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Scientific Computing and Data Management
Social Sciences →  Decision Sciences →  Information Systems and Management
Parallel Computing and Optimization Techniques
Physical Sciences →  Computer Science →  Hardware and Architecture

Related Documents

JOURNAL ARTICLE

Resource discovery in modern computing environments

Ricky RobinsonJadwiga IndulskaT. McFadden

Journal:   International Journal of Pervasive Computing and Communications Year: 2007 Vol: 3 (1)Pages: 4-29
BOOK-CHAPTER

Resource Co-Allocation in Grid Computing Environments

Marco A. S. NettoRajkumar Buyya

IGI Global eBooks Year: 2012 Pages: 100-118
BOOK-CHAPTER

Resource Co-Allocation in Grid Computing Environments

Marco A. S. NettoRajkumar Buyya

IGI Global eBooks Year: 2013 Pages: 100-118
© 2026 ScienceGate Book Chapters — All rights reserved.