A Recursive Random Search Algorithm for Large-Scale Network Parameter Configuration
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BibTeX
@MISC{Ye_arecursive,
author = {Tao Ye and Shivkumar Kalyanaraman},
title = {A Recursive Random Search Algorithm for Large-Scale Network Parameter Configuration},
year = {}
}
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Abstract
Parameter configuration is a common procedure used in large-scale network protocols to support multiple operational goals. This problem can be formulated as a black-box optimization problem and solved with an efficient search algorithm. This paper proposes a new heuristic search algorithm, Recursive Random Search(RRS), for large-scale network parameter optimization. The RRS algorithm is based on the initial high-efficiency property of random sampling and attempts to maintain this high-efficiency by constantly "restarting" random sampling with adjusted sample spaces. Due to its root in random sampling, the RRS algorithm is robust to the effect of random noises in the objective function and is advantageous in optimizing the objective function with negligible parameters. These features are
