NDLI: An Efficient Semantic Discovery of Grid Resources

Content Provider	IEEE Xplore Digital Library
Author	Mahmood, S. Ahmed, H.F. Rasool, R.u. Qadir, K.
Copyright Year	2008
Description	Author affiliation: Sch. of Electr. Eng. & Comput. Sci., NUST, Rawalpindi, Pakistan (Mahmood, S.; Ahmed, H.F.; Rasool, R.u.; Qadir, K.)
Abstract	Grid computing provides huge number of hardware and software resources. For efficient discovery of Grid resources, it is necessary to consider resource usage policies during matchmaking process, since the discovered resources are useless if they are unavailable to use. In this paper we propose a framework for efficient discovery of Grid resources. It contains a semantic knowledge base, in the form of domain, functional and policy Ontologies, of resources description. Functional ontology assists to control operations that user want to perform with resources. We use policy ontology to enforce user specified, resource usage policies. Moreover, we also develop a policy analyzer algorithm to enforce these policies in matchmaking process. Our objective is to make prior resource selection efforts more useful by providing maximum surety that the discovered resources are available to the user by analyzing their usage policies. A request subscription knowledge base is also maintained which is used to check the request and send notification later on, if resources are not available. This framework will be evaluated using ProActive Grid Middleware.
Starting Page	364
Ending Page	367
File Size	285492
Page Count	4
File Format	PDF
ISBN	9780769534015
DOI	10.1109/SKG.2008.81
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Availability Matchmaker Policies Ontology Subscriptions Semantic Ontologies Middleware Computer science Grid Resources Grid computing Hardware Resource management Problem-solving
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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