Files and links (1)
PDFOpen Access (License Unspecified), Open Access
Thesis
Scenario-driven evaluation of network-centric agent systems
Master of Science (M.S.), Drexel University
Mar 2010
DOI:
https://doi.org/10.17918/etd-3193
Abstract
Distributed systems developed for mission-critical applications such as command and control, situation awareness, and emergency response require rigorous and repeated testing to ensure their safety and performance. While many agree on the necessity of extensive testing, there is little, if any, consensus on how such systems should be tested and measured. This thesis develops a scenario-driven evaluation methodology, based on fundamental concepts from the related literature, for the test and evaluation of network-centric agent systems. The proposed benchmarking process enables reproducible, repeatable experiments to aid technology transfers, avoid duplicated efforts, and support comparisons by comprehensively revealing the capabilities of a particular network-centric agent system. The scenario-driven evaluation methodology is applied to two network-centric agent systems,thereby showing the versatility of this approach and demonstrating definitive system selection based upon system effectiveness and performance.
Metrics
26 File views/ downloads
20 Record Views
Details
- Title
- Scenario-driven evaluation of network-centric agent systems
- Creators
- Christopher T. Cannon - DU
- Contributors
- William Clement Regli (Advisor) - Drexel University (1970-)
- Awarding Institution
- Drexel University
- Degree Awarded
- Master of Science (M.S.)
- Publisher
- Drexel University; Philadelphia, Pennsylvania
- Resource Type
- Thesis
- Language
- English
- Academic Unit
- College of Arts and Sciences; Drexel University; Mathematics
- Other Identifier
- 3193; 991014632219304721