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Flexible modeling of policy-driven upstream notification strategies

Published: 24 March 2014 Publication History

Abstract

We present the advantages of a new coordination model termed "Peer Model" for the design of coordination strategies and introduce new extensions for the modeling of time and reference. The motivating example is the wireless, reliable, and timely upstream propagation of events about approaching trains, detected by sensors, to a rail crossing. Embedded wireless nodes along the tracks propagate the events upstream. The Peer Model provides flexibility, as new requirements do not demand a complete re-design and reimplementation of notification strategies, which is achieved by means of high-level abstractions, modularization, and patterns with exchangeable policies.

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    cover image ACM Conferences
    SAC '14: Proceedings of the 29th Annual ACM Symposium on Applied Computing
    March 2014
    1890 pages
    ISBN:9781450324694
    DOI:10.1145/2554850
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    New York, NY, United States

    Publication History

    Published: 24 March 2014

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    Author Tags

    1. coordination model
    2. design pattern
    3. middleware
    4. tuple space

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    • Research-article

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    • Austrian Government

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    SAC 2014
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    SAC 2014: Symposium on Applied Computing
    March 24 - 28, 2014
    Gyeongju, Republic of Korea

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    SAC '14 Paper Acceptance Rate 218 of 939 submissions, 23%;
    Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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