Using Long-Term Prediction for Web Service Network Traffic Loads

@article{Yoas2014UsingLP,
  title={Using Long-Term Prediction for Web Service Network Traffic Loads},
  author={Daniel W. Yoas and Greg Simco},
  journal={2014 11th International Conference on Information Technology: New Generations},
  year={2014},
  pages={21-26}
}
Businesses have used forecasting to address inventory levels and staffing needs. By understanding long-term utilization of resources, businesses have been able to optimize the costs associated with those resources. To date, computing has used forecasting to address short-term needs for services like scheduling and load balancing. This paper presents a portion of a larger study that was conducted to determine if long-term prediction of a server's resources is possible. The result of that larger… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 15 REFERENCES

A prediction-based real-time scheduling advisor

  • Proceedings 16th International Parallel and Distributed Processing Symposium
  • 2002
VIEW 9 EXCERPTS
HIGHLY INFLUENTIAL

Experiences with predicting resource performance on-line in computational grid settings

  • SIGMETRICS Performance Evaluation Review
  • 2003
VIEW 10 EXCERPTS
HIGHLY INFLUENTIAL

A Best Practice Guide to Resources Forecasting for the Apache Webserver

  • 2006 12th Pacific Rim International Symposium on Dependable Computing (PRDC'06)
  • 2006
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Load prediction models in web-based systems

VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL