Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/15199

TitleService oriented grid computing architecture for distributed learning classifier systems
Author(s)Santos, Manuel Filipe
Mathew, Wesley
Pinto, Filipe
KeywordsDistributed learning classifier system
User level services
Learning grid service
Basic grid services
and basic grid services
Issue date2011
PublisherSpringer
JournalLecture Notes in Computer Science
Abstract(s)Grid computing architectures are suitable for solving the challenges in the area of data mining of distributed and complex data. Service oriented grid computing offer synchronous or asynchronous request and response based services between grid environment and end users. Gridclass is a distributed learning classifier system for data mining proposes and is the combination of different isolated tasks, e.g. managing data, executing algorithms, monitoring performance, and publishing results. This paper presents the design of a service oriented architecture to support the Gridclass tasks. Services are represented in three levels based on their functional criteria such as the user level services, learning grid services and basic grid services. The results of an experimental test on the performance of system are presented. The benefits of such approach are object of discussion.
TypeConference paper
URIhttp://hdl.handle.net/1822/15199
ISBN978-3-642-24442-1
ISSN0302-9743
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:DSI - Engenharia da Programação e dos Sistemas Informáticos

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