By Jean Bacon, David Eyers, Ken Moody, Lauri Pesonen (auth.), Gustavo Alonso (eds.)
This e-book constitutes the refereed court cases of the ACM/IFIP/USENIX foreign convention on allotted structures structures, Middleware 2005, held in Grenoble, France in November/December 2005.
The 18 revised complete papers and six brief papers offered have been rigorously reviewed and chosen from 112 submissions. The papers are equipped in topical sections on defense and privateness, peer-to-peer computing, XML and repair discovery, distribution and actual time processing, publish/subscribe platforms 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 resources for Middleware 2005: ACM/IFIP/USENIX 6th International Middleware Conference, Grenoble, France, November 28 - December 2, 2005. Proceedings
Therefore, for a Key-Value pair in Li , the corresponding entry k in the intermediate result lists are: IR(Li , P1 )[k] = [H(Key), IN T ER − RES1 ], IR(Li , P2 )[k] = [H(Key), IN T ER − RES2 ], . , IR(Li , Pm )[k] = [H(Key), IN T ER − RESm ]. 34 F. Emekci, D. Agrawal, A. El Abbadi In the final computation phase, data sources calculate the sum for each Key from the m intermediate results. , xm }, these result in a polynomial P (x) = am−1 xm−1 + ... + a1 x1 + a0 where constant term, a0 , is the sum of the values for Key and P (xi ) = IN T ER − RESi .
In addition, we introduce new types of aggregation operators which are useful in the context of data warehouse and solve them efficiently. ABACUS also operates in an honest-but-curios environment and it reveals the size of tables and lists similar to . ABACUS is a distributed middleware operating on top of any commercial database as shown in Figure 2. It provides a user interface where users can pose queries over multiple private data warehouses. ABACUS executes queries by running ABACUS nodes operating on different data warehouses.
That is because hotel H1 can discover the customers of hotel H2 and try to attract them. Therefore, if airlines want to work with both hotels, they cannot send their data to any of these hotels. Similarly, hotel H1 cannot send its data to airlines so that airlines can extract the information that hotel H1 needs since airlines will discover This research was funded in parts by NSF grants IS-02-23022 and CNF-04-23336. G. ): Middleware 2005, LNCS 3790, pp. 21–41, 2005. c IFIP International Federation for Information Processing 2005 22 F.