A Framework for assessing and predicting network loads and performance for network centric operations and warfare

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Being able to accurately analyze and predict performance of networks in Network-Centric Operations and Warfare is critical towards realistic utility of resources. In this paper, we introduce a theoretical framework to address such issues. The framework is decomposable and component-based with plug-and-play functionality. One focal point for the framework is the assessment and prediction of the effectiveness of networks, as well as, network performance and network loads in NCO/NCW. Also, the framework allows for varying levels of specificity in order to provide important analyses including pinpointing bottlenecks, and providing potential corrections. Furthermore, the framework will allow modeling at different and multiple scales, and allow for decoupling of networks and sub-networks in order to understand and predict performance issues and propagation effects of sub-networks within the NCO/NCW environment. This leads to a much better understanding of and capability to determine and restructure NCO/NCW infrastructures for overall performance, efficiency and efficacy.

Original languageEnglish (US)
Title of host publicationDefense Transformation and Net-Centric Systems 2007
StatePublished - Nov 20 2007
Externally publishedYes
EventDefense Transformation and Net-Centric Systems 2007 - Orlando, FL, United States
Duration: Apr 9 2007Apr 12 2007

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


ConferenceDefense Transformation and Net-Centric Systems 2007
Country/TerritoryUnited States
CityOrlando, FL


  • Modeling and simulation
  • Network centric operations
  • Network centric warfare
  • Network models
  • Networking
  • Performance analysis
  • Performance prediction
  • Resource management
  • Resource modeling

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


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