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By Jean Bacon, David Eyers, Ken Moody, Lauri Pesonen (auth.), Gustavo Alonso (eds.)
This publication constitutes the refereed lawsuits of the ACM/IFIP/USENIX overseas convention on dispensed structures systems, Middleware 2005, held in Grenoble, France in November/December 2005.
The 18 revised complete papers and six brief papers awarded have been conscientiously reviewed and chosen from 112 submissions. The papers are prepared in topical sections on protection and privateness, peer-to-peer computing, XML and repair discovery, distribution and actual time processing, publish/subscribe structures and content material distribution, and middleware architecture.
Read Online or Download Middleware 2005: ACM/IFIP/USENIX 6th International Middleware Conference, Grenoble, France, November 28 - December 2, 2005. Proceedings PDF
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Extra info for Middleware 2005: ACM/IFIP/USENIX 6th International Middleware Conference, Grenoble, France, November 28 - December 2, 2005. Proceedings
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Privacy preservation means that parties involved in the query would only be able to learn the query result but nothing else. In addition, we introduce new types of aggregation queries needed in this context and propose efficient techniques to process them. ABACUS operates as a proxy among private data warehouses and allows users to pose queries over multiple private data warehouses. Our analytical evaluations demonstrate that ABACUS provides an efficient and scalable scheme to perform intersection, join, and aggregation queries.
Ives, D. Suciu, and I. Tatarinov. Schema mediation in peer data management systems. In Proc. of the 19th ICDE, pages 505–516, 2003. 9. A. Kementsietsidis, M. Arenas, and R. J. Miller. Mapping data in peer-to-peer systems: Semantics and algorithmic issues. In Proc. of the 2003 ACM SIGMOD, pages 325–336, 2003. 10. M. W. N. Jefferies, C. Mitchell. A proposed architecture for trusted third party services. Cryptography Policy and Algorithms Conference, July 1995. 11. M. Naor and K. Nissim. Communication preserving protocols for secure function evaluation.
Tf such that none of the data sources learn any extra information other than the query result. A . , m. We illustrate the problem with an example. Assume the three data warehouses in Example 1 want to execute an aggregated join query. And assume P1 poses the aggregated join query to find the aggregated join of its dimension table, Customers Table, with the fact tables, Sales Table, of the other data sources as shown in Figure 4. The problem is to provide an answer to this query without revealing any additional information.