Paper Info
Title
Resource Discovery for Dynamic Clusters in Computational Grids
Abstract
We describe a de-centralised approach to resource management and discovery, based on a community of interacting software agents. Each agent either represents a user application, a resource, or a MatchMaking service. The proposed approach can support dynamic registration of resources and user tasks, facilitating the establishment of dynamic clusters. Resource capability and task requirements are described using an object based data model, enabling new types of devices or new features in existing devices to be identified. A comparison with the Discovery and LookUp services in Jini and TSpaces is also provided.
Year
DOI
Venue
2001
10.1109/IPDPS.2001.925030
IPDPS
Keywords
Field
DocType
dynamic clusters,resource capability,resource discovery,new type,dynamic cluster,user application,dynamic registration,new feature,user task,computational grids,de-centralised approach,resource management,software agents,resource manager,informatics,computer science,software agent,data models,application software,data model,grid computing
Resource management,Cluster (physics),Data modeling,Grid computing,Computer science,Software agent,Application software,Metacomputing,Data model,Distributed computing
Conference
ISBN
Citations 
PageRank 
0-7695-0990-8
14
1.14
References 
Authors
7
6
Name
Order
Citations
PageRank
Omer F. Rana12181229.52
Daniel Bunford-jones2141.47
K. A. Hawick329366.26
David W. Walker42943376.26
Matthew Addis5127395.11
Mike Surridge624531.19