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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/19381

Title: Data Services Middleware for Data Sharing in Peer-to-Peer Environment
Authors: Beraka, Mutaz Seleam
GANNOUNI, Dr. Sofien
Keywords: Data Services
Middleware
Data Sharing
Issue Date: 21-May-2011
Abstract: The advances in network computing models evolve the way people are sharing their resources. Nowadays, users are considered as peers and as such they are able to share their processing power, their applications and their data with each other. File sharing model is one of P2P models that allow peers to share and exchange files between them. This model isn’t sufficient for current demands of sharing. It doesn’t benefit from the huge amount of data which was stored in data sources and located locally in peers’ machines. So, to take advantage of the data stored in heterogeneous and autonomous data sources that spread across the enterprise, we intend to develop in this thesis a middleware that facilitates data sharing between different users regardless of their heterogeneity. This middleware adopts a service-oriented architecture and relies on peer-to-peer computing techniques in order to provide a set of ready-made and easy to use components that allow inexperienced users to publish and advertize their own data sources as well as discover and consume those of others. Also, this middleware relies on process oriented approach to provide data service composition engine to deliver a semi-dynamic service composition. This type of service composition composes a set of data services to provide virtual data integration through a set of rich functionalities. By using such middleware, sharing data services between peers will become more easily as well as more reliable in P2P environment. It masks the heterogeneity between peers and the heterogeneity between data sources. Moreover, it meets user’s need of data availability and data integration through service composition. However, the proposed middleware will be able to use from any peer interested in the providing and consuming data services, and wants to take advantages of data integration that obtain from heterogeneous data sources.
URI: http://hdl.handle.net/123456789/19381
Appears in Collections:College of Computer and Information Sciences

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