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Windows XP comes with a Remote Assistance feature that lets an "expert" control the computer of a "novice" over a network connection (like the Internet) to adjust system settings, look for lost files or provide other help.
These results may be used as a "rule of thumb" to adjust system throughput estimation.
In this paper, a frame-aggregated link adaptation (FALA) protocol is proposed to dynamically adjust system parameters in order to improve the network goodput under varying channel conditions.
The results demonstrate that our approach can sense the changes of WLAN environments (i.e., the number of traffic flows) and adjust system parameters accordingly to provide fair utilities between uplink and downlink.
The MPSoC system features a hardware-based resource allocation algorithm (NIRA), for dynamic load balancing, which makes the system able to detect emerging network congestion cases and adjust system operation.
The results demonstrate that our cross-layer approach can sense the change of WLAN environments (i.e., channel conditions) and adjust system parameters accordingly to achieve fairness under varying WLAN environments.
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The parametric controls by actively adjusting system parameters differ from the conventional additive controls by systemic external inputs.
Hence, by adjusting, system throughput is traded off for fairness.
U-Model is a simplified polynomial structure that adaptively adjusts system parameters online.
But New York's regional integration and better transit make for a more dynamically adjusting system where residents have to continuously (or constantly) re-evaluate their cost of living.
This result is achieved by adjusting system parameters and thus obtaining a better matching of the input signals and resonance models.
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