A Topology Aggregation Scheme in Multi-Domain WDM-TDM Networks

2014 ◽  
Vol 926-930 ◽  
pp. 2919-2923 ◽  
Author(s):  
Bi Sheng Quan ◽  
Hui Li ◽  
Zi Chun Le

Topology aggregation is very important for multi-domain network. To deal with wavelength and timeslots constrains in multi-domain WDM-TDM networks, a topology aggregation scheme is proposed in this paper. The proposed scheme is based on asymmetric star with bypasses structure and comprehensively considers the information of multi-path between each border nodes pair. Results show that our proposed scheme obtains a better tradeoff between information accuracy and information reduction.

2005 ◽  
Author(s):  
Yajie Ma ◽  
Guanxiang Zhang ◽  
Xiangchuan Tian

2021 ◽  
Author(s):  
Chengpeng Huang ◽  
Xiaoming Wang ◽  
Qingqing Gan ◽  
Daxin Huang ◽  
Mengting Yao ◽  
...  

1996 ◽  
Vol 05 (01n02) ◽  
pp. 99-112 ◽  
Author(s):  
NING SHAN ◽  
HOWARD J. HAMILTON ◽  
NICK CERCONE

We present the three-step GRG approach for learning decision rules from large relational databases. In the first step, an attribute-oriented concept tree ascen sion technique is applied to generalize an information system. This step loses some information but substantially improves the efficiency of the following steps. In the second step, a reduction technique is applied to generate a minimalized information system called a reduct which contains a minimal subset of the generalized attributes and the smallest number of distinct tuples for those attributes. Finally, a set of maximally general rules are derived directly from the reduct. These rules can be used to interpret and understand the active mechanisms underlying the database.


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