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Our task pool approach outperforms other load balancing schemes such as the task stealing method and the persistent threads method.
In tackling this difficulty, we propose two distributed selfish load balancing schemes, the max-weight best response policy for strong information scenario, where load information could be sufficiently collected; and the proportional allocation policy for weak information scenario.
Willebeek-LeMair and Reeves [4] proposed five load balancing schemes.
During the experiments, data were gathered under two different static load balancing schemes.
As shown in Fig. 1, we discuss the difference between traditional load balancing and selfish load balancing schemes.
Different carrier load balancing schemes and packet scheduling algorithms are analyzed in [14] by means of theoretical formulations as well as system level simulations.
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Fig. 1 Difference between traditional load balancing scheme and selfish load balancing scheme.
The convergence property is fundamentally important to load balancing scheme.
iii) Afsari's row balancing scheme: The LUJ1D, QRJ1D, JD LU +, and JD QR + algorithms perform the row balancing scheme once per run of five sweeps.
The detailed implementation for the proposed traffic balancing scheme is designed.
We propose a load balancing scheme based on adaptive alternate routing aimed at reducing burst loss.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com