Forecasting network performance to support dynamic scheduling using the network weather service

@article{Wolski1997ForecastingNP,
  title={Forecasting network performance to support dynamic scheduling using the network weather service},
  author={Richard Wolski},
  journal={Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183)},
  year={1997},
  pages={316-325}
}
  • Richard Wolski
  • Published in
    Proceedings. The Sixth IEEE…
    1997
  • Computer Science
  • The Network Weather Service is a generalizable and extensible facility designed to provide dynamic resource performance forecasts in metacomputing environments. In this paper, we outline its design and detail the predictive performance of the forecasts it generates. While the forecasting methods are general, we focus on their ability to predict the TCP/IP end-to-end throughput and latency that is attainable by an application using systems located at different sites. Such network forecasts are… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 27 REFERENCES

    Kilvansky.Time series models for internet traffic

    • S. Basu, A. Mukherjee
    • TechnicalReport GIT-CC-95-27, Georgia Institure of Technology,
    • 1996
    VIEW 4 EXCERPTS
    HIGHLY INFLUENTIAL

    Application-Level Scheduling on Distributed Heterogeneous Networks

    VIEW 2 EXCERPTS

    Dynamically forecasting network performance using the Network Weather Service

    VIEW 1 EXCERPT

    Scheduling from the perspective of the application

    VIEW 2 EXCERPTS