Model abstractions for real-time network environments

Bruno R. Andriamanalimanana; Saumen S. Sengupta; Joe Riolo; Tom Svedman; Mohammed Khan; Keith Gates

doi:10.1117/12.389374

23 June 2000 Model abstractions for real-time network environments

Bruno R. Andriamanalimanana, Saumen S. Sengupta, Joe Riolo, Tom Svedman, Mohammed Khan, Keith Gates

Proceedings Volume 4026, Enabling Technology for Simulation Science IV; (2000) https://doi.org/10.1117/12.389374
Event: AeroSense 2000, 2000, Orlando, FL, United States

Abstract

The model abstraction problem is explored from a real-time network environment perspective, usually admitting different system models (such as queue-theoretic) at its different equilibrium states. To computationally depict system states at any level of abstraction, it is necessary to identify correct models consistent with observables. However, any such system identification need not be permanent, particularly for a dynamic system. In such situations, as the system appears to migrate from one equilibrium state to another, one should be able to quickly identify an event of context-switching from one model abstraction to another. In this paper we show how, using a variation of traditional CUSUM statistical approaches, one could identify model change events on time.

Citation Download Citation

Bruno R. Andriamanalimanana, Saumen S. Sengupta, Joe Riolo, Tom Svedman, Mohammed Khan, and Keith Gates "Model abstractions for real-time network environments", Proc. SPIE 4026, Enabling Technology for Simulation Science IV, (23 June 2000); https://doi.org/10.1117/12.389374

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