Predicting Staff Sizes to Maintain Networks

Abstract

MITRE completed a 3-month study to assess the state of the practice in staffing levels for maintaining a computer-networking infrastructure (CNI). The state of the practice was determined by looking at technical papers on the subject, conducting organizational and technical-expert surveys, and looking at software models that attempt to predict staffing levels. There were very few quantitative heuristics available in the literature; however, the data did show that typical CNIs have a 1:42 ratio of support staff to users. That is, one full-time equivalent of CNI staffing per 42 users for a typical CNI. This number can vary, up or down, by 17 percent or more depending on the details of the CNI. The Department of Defense, as well as the private sector, can use the results of this study to predict initial CNI support levels, to support their current level of staffing, or to justify an increase or decrease in staffing. The paper breaks down CNI support into four major areas: systems administration, hardware maintenance, help desk, and configuration management. It also provides ratios for predicting each of these within a typical CNI.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2001
Accession Number
ADA486992

Entities

People

  • Lon D. Gowen

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Agreements
  • Algorithms
  • Best Practices
  • Composite Materials
  • Configuration Management
  • Data Sets
  • Delphi Method
  • Department Of Defense
  • Engineering
  • Information Operations
  • Labor
  • Maintenance
  • Network Architecture
  • Organizational Structure
  • Software Development
  • Standards
  • Surveys

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Military Logistics and Supply Chain Management
  • Software Engineering.