Citation
Ilge Akkaya, Edward A. Lee, Yan Liu, Ian Gorton. "Modeling Uncertainty for Middleware-based Streaming Power Grid Applications". MW4NG'13: 8th International Workshop on Middleware for Next Generation Internet Computing, 9, December, 2013.

Abstract
The power grid is incorporating high throughput sensor devices into power distribution networks. The future power grid needs to guarantee accuracy and responsiveness of applications that consume data from multiple sensor streams. The end-to-end performance and overall scalability of cyber-physical energy applications depend on the middleware's ability to handle multi-source sensor data, which exhibits uncertain behavior under highly variable numbers of sensors and middleware topologies. In this paper, we present a parametric approach to model middleware uncertainty and to analyze its effect on distributed power applications. The models encapsulate the entire dataflow paths from sensor devices, through network and middleware components to the power application nodes that utilize sensor data streams. Using the Ptolemy II framework for modeling and simulation, we generate Monte Carlo samples of uncertain parameters that are used to generate parameterized middleware models that are used in end-to-end Discrete-Event (DE) system simulation simulation. The simulation results are further analyzed using regression methods to reveal the parameters that are influential in the limiting middleware behavior to achieve temporal requirements of the power applications.

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• HTML

  Ilge Akkaya, Edward A. Lee, Yan Liu, Ian Gorton. <a
  href="http://www.terraswarm.org/pubs/139.html"
  >Modeling Uncertainty for Middleware-based Streaming
  Power Grid Applications</a>, MW4NG'13: 8th
  International Workshop on Middleware for Next Generation
  Internet Computing, 9, December, 2013.

• Plain text

  Ilge Akkaya, Edward A. Lee, Yan Liu, Ian Gorton.
  "Modeling Uncertainty for Middleware-based Streaming
  Power Grid Applications". MW4NG'13: 8th International
  Workshop on Middleware for Next Generation Internet
  Computing, 9, December, 2013.

• BibTeX

  @inproceedings{AkkayaLeeLiuGorton13_ModelingUncertaintyForMiddlewarebasedStreamingPower,
      author = {Ilge Akkaya and Edward A. Lee and Yan Liu and Ian
                Gorton},
      title = {Modeling Uncertainty for Middleware-based
                Streaming Power Grid Applications},
      booktitle = {MW4NG'13: 8th International Workshop on Middleware
                for Next Generation Internet Computing},
      day = {9},
      month = {December},
      year = {2013},
      abstract = {The power grid is incorporating high throughput
                sensor devices into power distribution networks.
                The future power grid needs to guarantee accuracy
                and responsiveness of applications that consume
                data from multiple sensor streams. The end-to-end
                performance and overall scalability of
                cyber-physical energy applications depend on the
                middleware's ability to handle multi-source sensor
                data, which exhibits uncertain behavior under
                highly variable numbers of sensors and middleware
                topologies. In this paper, we present a parametric
                approach to model middleware uncertainty and to
                analyze its effect on distributed power
                applications. The models encapsulate the entire
                dataflow paths from sensor devices, through
                network and middleware components to the power
                application nodes that utilize sensor data
                streams. Using the Ptolemy II framework for
                modeling and simulation, we generate Monte Carlo
                samples of uncertain parameters that are used to
                generate parameterized middleware models that are
                used in end-to-end Discrete-Event (DE) system
                simulation simulation. The simulation results are
                further analyzed using regression methods to
                reveal the parameters that are influential in the
                limiting middleware behavior to achieve temporal
                requirements of the power applications. },
      URL = {http://terraswarm.org/pubs/139.html}
  }
  

Posted by Ilge Akkaya on 4 Oct 2013.