Practical Resource-Aware Optimization of Cascade Detection Systems with Multiple Applications
Long Le, Douglas L. Jones

Citation
Long Le, Douglas L. Jones. "Practical Resource-Aware Optimization of Cascade Detection Systems with Multiple Applications". Talk or presentation, 26, October, 2016; Poster presented at the 2016 TerraSwarm Annual Meeting.

Abstract
Traditional distributed detection systems are often designed for a single target application. However, with the emergence of the Internet of Things (IoT) paradigm, next-generation systems are expected to be a shared infrastructure for multiple applications. To achieve this goal, a detection system needs to be modularly (re-)designed. To this end, we propose a modular, cascade design for resource-efficient, multi-task detection systems. Two (classes of) applications are considered in the system, a primary and a secondary one. The primary application has universal features that can be shared with other applications, to reduce the overall feature extraction cost, while the secondary application does not. In this setting, the two applications can collaborate via feature sharing. We provide a method to optimize the operation of the multi-application cascade system based on a practical resource consumption model. Our system simulation shows that by using the optimal feature sharing strategy, a system can achieve 9$\times$ resource saving and 2$\times$ improvement in detection performance.

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Citation formats  
  • HTML
    Long Le, Douglas L. Jones. <a
    href="http://www.terraswarm.org/pubs/847.html"><i>Practical
    Resource-Aware Optimization of Cascade Detection Systems
    with Multiple Applications</i></a>, Talk or
    presentation,  26, October, 2016; Poster presented at the
    <a
    href="http://terraswarm.org/conferences/16/annual"
    >2016 TerraSwarm Annual Meeting</a>.
  • Plain text
    Long Le, Douglas L. Jones. "Practical Resource-Aware
    Optimization of Cascade Detection Systems with Multiple
    Applications". Talk or presentation,  26, October,
    2016; Poster presented at the <a
    href="http://terraswarm.org/conferences/16/annual"
    >2016 TerraSwarm Annual Meeting</a>.
  • BibTeX
    @presentation{LeJones16_PracticalResourceAwareOptimizationOfCascadeDetection,
        author = {Long Le and Douglas L. Jones},
        title = {Practical Resource-Aware Optimization of Cascade
                  Detection Systems with Multiple Applications},
        day = {26},
        month = {October},
        year = {2016},
        note = {Poster presented at the <a
                  href="http://terraswarm.org/conferences/16/annual"
                  >2016 TerraSwarm Annual Meeting</a>.},
        abstract = {Traditional distributed detection systems are
                  often designed for a single target application.
                  However, with the emergence of the Internet of
                  Things (IoT) paradigm, next-generation systems are
                  expected to be a shared infrastructure for
                  multiple applications. To achieve this goal, a
                  detection system needs to be modularly
                  (re-)designed. To this end, we propose a modular,
                  cascade design for resource-efficient, multi-task
                  detection systems. Two (classes of) applications
                  are considered in the system, a primary and a
                  secondary one. The primary application has
                  universal features that can be shared with other
                  applications, to reduce the overall feature
                  extraction cost, while the secondary application
                  does not. In this setting, the two applications
                  can collaborate via feature sharing. We provide a
                  method to optimize the operation of the
                  multi-application cascade system based on a
                  practical resource consumption model. Our system
                  simulation shows that by using the optimal feature
                  sharing strategy, a system can achieve 9$\times$
                  resource saving and 2$\times$ improvement in
                  detection performance.},
        URL = {http://terraswarm.org/pubs/847.html}
    }
    

Posted by Long Le on 24 Oct 2016.
Groups: pw

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