Tsunami: Multiresolution Resource Queries and Other Applications of Wavelets to Resource Signals

Time-domain resource signals, such as those made available by RPS or Remos, contain information that is easier to extract in frequency-domain or wavelet-domain. The goal of this project is to determine the benefits to using a wavelet-domain representation of resource signals in measurement, dissemination, and prediction. We are building an extension to RPS to make wavelet technology readily available to researchers in resource prediction.

People

  • Peter Dinda
  • Jason Skicewicz
  • Yi Qiao

    • Talks

  • An Empirical Study of the Multiscale Predictability of Network Traffic, HPDC 2004 (ppt)
  • Multi-resolution Resource Behavior Queries Using Wavelets, HPDC 2001.(ppt)

    • Papers

  • Y. Qiao, J. Skicewicz, P. Dinda, An Empirical Study of the Multiscale Predictability of Network Traffic, Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing (HPDC 2004), pdf

  • J. Skicewicz, P. Dinda, Tsunami: A Wavelet Toolkit for Distributed Systems, Technical Report NWU-CS-03-16, Department of Computer Science, Northwestern University, October, 2003. (pdf)

  • J. Skicewicz, P. Dinda, J. Schopf, Multi-resolution Resource Behavior Queries Using Wavelets, Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing (HPDC 2001). (pdf)

    •

    Codes

  • RPS 2.0 includes the Tsunami toolkit.

    • Acknowledgement

    This material is based upon work supported by the National Science Foundation under Grant No. ANI-0093221. Any opinions, findings and conclusions or recomendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).
    Peter Dinda
    Last modified: Mon Jul 17 13:52:42 CDT 2006