Predictability of Process Resource Usage: A Measurement-Based Study on UNIX

@article{Devarakonda1989PredictabilityOP,
  title={Predictability of Process Resource Usage: A Measurement-Based Study on UNIX},
  author={Murthy V. Devarakonda and Ravishankar K. Iyer},
  journal={IEEE Trans. Software Eng.},
  year={1989},
  volume={15},
  pages={1579-1586}
}
A statistical approach is developed for predicting the CPU time, the file I/O, and the memory requirements of a program at the beginning of its life, given the identity of the program. Initially, statistical clustering is used to identify high-density regions of process resource usage. The identified regions form the states for building a state-transition model to characterize the resource usage of each program in its past executions. The prediction scheme uses the knowledge of the program's… CONTINUE READING

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 77 CITATIONS

Computational Intelligence in Digital and Network Designs and Applications

  • Springer International Publishing
  • 2015
VIEW 4 EXCERPTS
CITES METHODS & BACKGROUND
HIGHLY INFLUENCED

Scheduling Batch and Heterogeneous Jobs with Runtime Elasticity in a Parallel Processing Environment

  • 2012 IEEE 26th International Parallel and Distributed Processing Symposium Workshops & PhD Forum
  • 2012
VIEW 4 EXCERPTS
CITES BACKGROUND
HIGHLY INFLUENCED

Better performance or better manageability?

VIEW 3 EXCERPTS
CITES METHODS
HIGHLY INFLUENCED

Inferring Mobile Apps from Resource Usage Patterns

  • 2017 5th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)
  • 2017

Evaluation Metrics of Service-Level Reliability Monitoring Rules of a Big Data Service

  • 2016 IEEE 27th International Symposium on Software Reliability Engineering (ISSRE)
  • 2016
VIEW 1 EXCERPT
CITES BACKGROUND

FILTER CITATIONS BY YEAR

1990
2019

CITATION STATISTICS

  • 6 Highly Influenced Citations