Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
skip to main content
research-article
Open access

Statistics for Engineers: Applying statistical techniques to operations data

Published: 07 January 2016 Publication History

Abstract

Modern IT systems collect an increasing wealth of data from network gear, operating systems, applications, and other components. This data needs to be analyzed to derive vital information about the user experience and business performance. For instance, faults need to be detected, service quality needs to be measured and resource usage of the next days and month needs to be forecast.

References

[1]
Cockcroft, A. 2014. Monitorama - Please, no more Minutes, Milliseconds, Monoliths or Monitoring Tools; http://de.slideshare.net/adriancockcroft/monitorama-please-no-more
[2]
Georgii, H.-O. 2002. Stochastik. DeGruyter.
[3]
Gunther, N. J. 2007. Guerrilla Capacity Planning. Berlin: Springer-Verlag.
[4]
Hartmann, H. 2015. Statistics for Engineers; https://github.com/HeinrichHartmann/Statistics-for-Engineers.
[5]
Hartmann, H. 2016. Show Me the Data; http://www.circonus.com/spike-erosion.
[6]
HDR Histogram: a high dynamic range histogram; http://hdrhistogram.org/.
[7]
Histogram; https://en.wikipedia.org/wiki/Histogram.
[8]
IPython; http://ipython.org.
[9]
Izenman, A. J. 2008. Modern Multivariate Statistical Techniques. New York: Springer-Verlag.
[10]
Janert, P. K. 2010. Data Analysis with Open Source Tools. O'Reilly.
[11]
Lp space; https://en.wikipedia.org/wiki/Lp_space.
[12]
Matplotlib; http://matplotlib.org.
[13]
Quantile; https://en.wikipedia.org/wiki/Quantile.
[14]
Schlossnagle, T. 2015. The problem with math: why your monitoring solution is wrong; http://www.circonus.com/problem-math/.
[15]
Schwarz, B. 2015. Practical Scalability Analysis with the Universal Scalability Law; https://www.vividcortex.com/resources/universal-scalability-law.
[16]
Ugurlu, D. 2013. The Most Misleading Measure of Response Time: Average; https://blog.optimizely.com/2013/12/11/why-cdn-balancing/
[17]
Waskom, M. 2012-2015. Seaborn: statistical data visualization; http://stanford.edu/~mwaskom/software/seaborn/.
[18]
Waskom, M. 2012-2015. Seaborn example gallery; http://stanford.edu/~mwaskom/software/seaborn/examples/index.html.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image Queue
Queue  Volume 14, Issue 1
Containers
January-February 2016
119 pages
ISSN:1542-7730
EISSN:1542-7749
DOI:10.1145/2898442
Issue’s Table of Contents
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 January 2016
Published in QUEUE Volume 14, Issue 1

Permissions

Request permissions for this article.

Check for updates

Qualifiers

  • Research-article
  • Popular
  • Refereed

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 82,154
    Total Downloads
  • Downloads (Last 12 months)3,534
  • Downloads (Last 6 weeks)404
Reflects downloads up to 06 Jan 2025

Other Metrics

Citations

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Magazine Site

View this article on the magazine site (external)

Magazine Site

Login options

Full Access

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media