Optimization Based Approaches to Network Analytics
Abstract
The U.S. Air Force vision of net centric warfare requires development and deployment of large scale complex systems that will encompass and interconnect various manned and unmanned weapon platforms and combat units. Efficient and reliable operation of the resulting complex, heterogeneous, multilayered networks (which may include cyberinfrastructure networks, C3 networks, sensory networks, ad hoc wireless networks connecting battlefield units, etc) will require a deep understanding of the properties and behavior of such networks, particularly in the context of incomplete, conflicting, or uncertain operational data. The objective of the proposed research is to develop theoretical and computational tools for network analytics, comprising a collection of optimization based frameworks and methods for comprehensive analysis of complex, heterogeneous, multilayered networks involving imperfect-flawed-uncertain data, which are common in cyberinfrastructure and military operations. The underlying theme of this project is the development and study of predictive metrics and characterizations of network performance that are specifically defined and constructed through solutions of optimization problems.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jan 14, 2022
- Source ID
- FA95501910161
Entities
People
- Pavlo Krokhmal
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Arizona