Umeshwar Dayal (auth.), Mikael Berndtsson MSc, Jörgen's Active and Real-Time Database Systems (ARTDB-95): PDF

By Umeshwar Dayal (auth.), Mikael Berndtsson MSc, Jörgen Hansson MSc (eds.)

ISBN-10: 1447130804

ISBN-13: 9781447130802

ISBN-10: 3540199837

ISBN-13: 9783540199830

The components of energetic and real-time databases have obvious a huge development of curiosity long ago few years, quite with reference to their aid of time-critical and embedded purposes. ARTDB-95 supplied, for that reason, a tremendous discussion board for researchers from either groups to debate examine effects, and likewise to chart new instructions for the longer term. in addition to the eleven submitted papers provided on the workshop, this quantity additionally includes four invited papers at the following themes: the impression of energetic databases on advertisement perform; the optimization of energetic database transactions; the necessity for higher language, compiler and gear help for real-time databases; and the foundation of time constraints linked to information, occasions and activities. jointly the papers provide a accomplished evaluation of present examine, and should supply valuable studying for tutorial and commercial researchers and scholars at either undergraduate and postgraduate level.

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Extra info for Active and Real-Time Database Systems (ARTDB-95): Proceedings of the First International Workshop on Active and Real-Time Database Systems, Skövde, Sweden, 9–11 June 1995

Example text

This means that the commit operation of T' must be synchronized after the commit operation of T. Thus, such a mode requires the same specification of transaction boundaries and task processing policy as the detached mode while it requires the following transO function which is called at the commit of an RMT T: • if the top transaction T' (may be, via a subtransaction) that has activated T, is not committed then transO suspends the execution of T until the commit of T' is performed. 3 Optimizing Active Rule Processing In this section, we study how rule processing can be optimized in a flat execution model.

The specification of the extension as well as its proof of correctness are described in [22]. 40 C : condition task A : action task 4 transaction point • :synchronization point bot eot ,-----------------------------------------------------'tiIne I Figure 7: Scheduling with lockpoints the rules that check integrity and rollback the transaction when a violation occurs. , read-only or not) when they are defined in the active database system would greatly facilitate the place of lockpoint in jobs. 5 Optimization in non-Flat Execution Model Non-flat execution models enable to chop a job into a set of transactions, which can either be independent or dependent as we have seen before.

These two examples show that a good caching decision depends on the analysis of how repetitive evaluations of rule conditions can be caused by the structure of transaction programs. This is the central idea of the algorithm presented in [21]. This algorithm analyses both transaction programs having simple control structures (conditionals, loops, sequences), and rules in order to compute a compact data structure that indicates for each possible transaction execution which rule conditions can be activated more than once.

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Active and Real-Time Database Systems (ARTDB-95): Proceedings of the First International Workshop on Active and Real-Time Database Systems, Skövde, Sweden, 9–11 June 1995 by Umeshwar Dayal (auth.), Mikael Berndtsson MSc, Jörgen Hansson MSc (eds.)


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