Abstract:
Disclosed are a method and an apparatus for determining a network topology structure. The method comprises: classifying all links of a network into link sets L(V1)...L(Vn) according to rate levels V1...Vn, wherein n is a positive integer greater than or equal to 1; classifying a link set L(Vx) into link subsets L(Vx)1...L(Vx)k according to the connectivity, wherein x is greater than or equal to 1 and smaller than or equal to n, and k is a positive integer greater than or equal to 1; and determining a network layer of a link subset L(Vx)y, wherein y is greater than or equal 1 and smaller than or equal to k. The present invention solves a problem in which it is difficult to manually classify all links (further, nodes on the links) to network levels of a layered network in a situation the scale of the network is great, can automatically calculate a network layer of a node, and further automatically calculate a networking structure and the number of the nodes in each layer of the network, thereby providing basic data for the subsequent optimization of a network topology structure.
Abstract:
Provided is a method for determining topology of a network, including: all links of the network are divided into link sets L(V1), ..., L(Vn) according to rate levels V1, ..., Vn of links of the network, wherein n is a positive integer equal to or larger than 1; a link set L(Vx) is divided into link subsets L(Vx)1, ..., L(Vx)k according to connectivities of the links, wherein 1‰¤x‰¤n and k is a positive integer equal to or larger than 1; and a network layer to which a link subset L(Vx)y is attributed is determined, wherein 1‰¤y‰¤k. The disclosure solves the problem that it is difficult to divide artificially all links (and then nodes of respective links) to various network layers of respective layered networks when the networks have relatively large scale, it enables automatic calculation of a network layer to which a node is attributed, then enables automatic calculation of a networking structure of each layer of network and a number of nodes therein, thereby providing basic data to subsequent topology optimization of the network.