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Article | 11-April-2018

Equivalence on Quadratic Lyapunov Function Based Algorithms in Stochastic Networks

Quadratic Lyapunov function based Algorithms (QLAs) for stochastic network optimization problems, which are cross-layer scheduling algorithms designed by Lyapunov optimization technique, have been widely used and studied. In this paper, we investigate the performance of using Lyapunov drift and perturbation in QLAs. By analyzing attraction points and utility performance of four variants of OQLA (Original QLA), we examine the rationality of OQLA for using the first-order part of an upper bound

Li Hu, Gao Lu, Liu Jiaqi, Wang Shangyue

International Journal of Advanced Network, Monitoring and Controls, Volume 2 , ISSUE 3, 179–185

research-article | 23-April-2019


, j) can be performed only in case when node i is realized. In order to study the questions related to the realization of this operation, it is necessary to know the conditional probability (in a discrete case) or the distribution density (in a non-discrete case) of random quantity Yij under the condition that node i is realized. This allows us to carry out a study on the implementation of all networks. The aim of using a GERT network in the stochastic network analysis is to determine the


Transport Problems, Volume 14 , ISSUE 1, 81–93

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