| Autor: |
Arun Adiththan, Kaliappa Ravindran |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
COMSNETS |
| DOI: |
10.1109/comsnets48256.2020.9027396 |
| Popis: |
The adaptation logic of a networked system “S” is anchored on two functional elements: I) Sensing of observable system state and outputs by direct measurements; ii) Inference of hard-to-observe system state and environment parameters using model-based estimates. These observed system data is then used in a model-aided computation of the control actions to steer the output of “S” towards a desired operating level. Observational errors in the measurement and estimation processes (i) and (ii) impact the quality of adaptation attained by “S”. In a rate-adaptive video transport system (BAVT) for e.g., bandwidth estimation errors lead to incorrect allocation of video send rates to the sources, which can affect the rate stability & convergence during congestion recovery. Given that sensing & control errors arise due to imprecise and/or incomplete knowledge about the state and environment of “S”, a model-based treatment of the errors allows assessing their impact on the system behavior. We describe a software cybernetics framework to deal with the sensing & control errors during system operations (with a case-study of BAVT). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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