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Genetic algorithms (GA) has been extensively applied to address the shortcomings of gradient based leaning methods in training feedforward neural networks (NN). However, the complicated properties of NN training, such as context dependence problem between neurons and permutation problem of genetic representation, will cause difficulties in efficiently implementing conventional GAs. In the present...
Distributed stream processing relies on in-network operator placement to achieve an optimal resource allocation which can use the pool of machines and network resource efficiently. Due to the QoS (Quality of Service) constraints imposed by the application, operator placement is usually treated as an optimization problem with constraints. Trying to get a global optimization is challenging since it's...
Protected working lightpath envelope (PWLE) is a promising path-oriented protection strategy developed by us to provision survivable services for dynamic traffic. Partitioning the network capacity into a working layer and a protection layer by means of lightpath-protecting p-cycles, PWLE possesses the advantages of high capacity efficiency, avoidance of wavelength conversion, good blocking performance...
The latest version of IEEE 802.11s draft proposes a simple hop-by-hop congestion control framework without the specific algorithm for congestion detection and local rate control. This paper presents a dynamic pricing policy and new rate control model based congestion control scheme which works at the data link layer (DLL) over IEEE 802.11s draft. We introduce dynamic pricing function as one of the...
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