Business Intelligence for the Real-Time Enterprise: Second by Malu Castellanos, Umeshwar Dayal, Timos Sellis

By Malu Castellanos, Umeshwar Dayal, Timos Sellis

This publication constitutes the completely refereed post-conference lawsuits of the second one overseas Workshop on company Intelligence for the Real-Time firm, BIRTE 2008, held in Auckland, New Zealand, in August 2008, together with VLDB 2008, the overseas convention on Very huge info Bases.

The keynote speak and the ten revised complete papers awarded have been conscientiously reviewed and chosen for inclusion within the ebook. The papers talk about the most important points of industrial intelligence for the real-time firm, targeting types and ideas, architectures, case-studies, and purposes of and applied sciences for real-time firm enterprise intelligence.

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Additional info for Business Intelligence for the Real-Time Enterprise: Second International Workshop, BIRTE 2008, Auckland, New Zealand, August 24, 2008, Revised ... Notes in Business Information Processing)

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The ARTDB [17] is proposed to provide both active and real-time capabilities. In the context of an ARTDB, data distribution can be implemented via ECA rules, and applications can consume data at specific rate on specific condition. So it would be desirable to develop a QoS-aware Real-Time Publish-Subscribe (QRTPS) system on ARTDB. This system infrastructure should be efficient, scalable, flexible, and cater for the architecture of active real-time database system, except for providing real-time predictability.

1 Introduction Many complex distributed real-time applications require complicated processing and sharing of an extensive amount of data under critical timing constraints. These applications include collecting data from the environment, processing acquired data in the context of historical data and providing timely response. How to transmit or disseminate these data timely and exactly by simple configuration is a noticeable problem as yet. Image that we periodically receive sensor data from a mine in a colliery, these data might contain information about gas, temperature, smog, etc.

Are there any special cases of the view selection problem for which there are optimal solutions whose viewset can be constructed by considering only subexpressions of the queries in the query workload? 2. For the general case, can we reduce the search space specified by Lemma 1 which consists of all possible generalizations of query subexpressions? Both questions can be answered affirmatively as shown in the following Propositions 1 and 2. Proposition 1. Let P = (S, Q, D, L) be a conjunctive bag-oriented view selection problem input such that every relation in S appears at most once in a body of some query in Q.

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