Title
An integrated ClassAd-latent semantic indexing matchmaking algorithm for globus toolkit based computing grids
Abstract
The effective and efficient computing resource allocation is a critical issue in the challenging achievement of realistic, high space and temporal resolution and computing time affordable weather, marine and soil flooding simulation and forecast. Resource allocation relies on matchmaking tool, which must be flexible and straightforward to be deployed, configured and used. Using the Globus Toolkit 4 and our resource broker service, we compared the ClassAd matchmaking algorithm with our matchmaking algorithm and then we integrated the two algorithms in order to avoid their drawbacks.
Year
DOI
Venue
2007
10.1007/978-3-540-68111-3_100
PPAM
Keywords
Field
DocType
resource allocation,challenging achievement,globus toolkit,computing time affordable weather,classad matchmaking algorithm,efficient computing resource allocation,critical issue,matchmaking algorithm,matchmaking tool,integrated classad-latent semantic indexing,resource broker service,temporal resolution,grid computing,web service,latent semantic indexing
Latent semantic indexing,Resource broker,Grid computing,Computer science,Algorithm,Resource allocation,Web service,Temporal resolution,Database,Distributed computing
Conference
Volume
ISSN
ISBN
4967
0302-9743
3-540-68105-1
Citations 
PageRank 
References 
4
0.52
8
Authors
3
Name
Order
Citations
PageRank
Raffaele Montella121023.13
Giulio Giunta216213.35
Angelo Riccio3162.28