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An event service to support Grid computational environments
Author(s) -
Fox Geoffrey C.,
Pallickara Shrideep
Publication year - 2002
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.689
Subject(s) - computer science , middleware (distributed applications) , event (particle physics) , grid , distributed computing , service (business) , grid computing , variety (cybernetics) , web service , publication , world wide web , service oriented architecture , peer to peer , mobile device , physics , geometry , mathematics , economy , business , quantum mechanics , artificial intelligence , advertising , economics
We believe that it is interesting to study the system and software architecture of environments which integrate the evolving ideas of computational Grids, distributed objects, Web services, peer‐to‐peer (P2P) networks and message‐oriented middleware. Such P2P Grids should seamlessly integrate users to themselves and to resources which are also linked to each other. We can abstract such environments as a distributed system of ‘clients’ which consist either of ‘users’ or ‘resources’ or proxies thereto. These clients must be linked together in a flexible, fault‐tolerant, efficient, high‐performance fashion. In this paper, we study the messaging or event system—termed Grid Event Service (GES)—that is appropriate to link the clients (both users and resources of course) together. For our purposes (registering, transporting and discovering information), events are just messages—typically with time stamps. The messaging system GES must scale over a wide variety of devices—from handheld computers at one extreme to high‐performance computers and sensors at the other. We have analyzed the requirements of several Grid services that could be built with this model, including computing and education and incorporated constraints of collaboration with a shared event model. We suggest that generalizing the well‐known publish–subscribe model is an attractive approach and here we study some of the issues to be addressed if this model is used in GES. Copyright © 2002 John Wiley & Sons, Ltd.