How to exploit application semantics to improve the performance of a real-time data-intensive application has been an active research topic in the past few years. Weaker correctness criteria and semantica-based concurrency control algorithms were proposed to provide more flexibility in reordering read and write events. Distinct from past work, this paper exploits the trade-off between data consistency and system workload. The definition of similarity is combined with the idea of transaction skipping to provide a theoretical foundation for reducing the workload of a transaction system. We also propose guidelines to adjust the execution frequencies of a static set of transactions and prove their correctness. The strengths of this work were verified by simulation experiments on an air traffic control example.


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    Title :

    Similarity-based load adjustment for static real-time transaction systems


    Contributors:

    Published in:

    Publication date :

    2000


    Size :

    15 Seiten, 22 Quellen




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English




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