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Within a vast computer network, the individual computers on the periphery of the network, those that do not also connect other networks, and those that often connect transiently to one or more clouds are called end nodes. Typically, within the cloud computing construct, the individual user or customer computer that connects into one well ...
Child: A child node is a node extending from another node. For example, a computer with internet access could be considered a child node of a node representing the internet. The inverse relationship is that of a parent node. If node C is a child of node A, then A is the parent node of C. Degree: the degree of a node is the number of children of ...
In addition, when the scope of a diagram crosses the common LAN/MAN/WAN boundaries, representative hypothetical devices may be depicted instead of showing all actually existing nodes. For example, if a network appliance is intended to be connected through the Internet to many end-user mobile devices, only a single such device may be depicted ...
Network topology is the arrangement of the elements (links, nodes, etc.) of a communication network. [1] [2] Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks, [3] industrial fieldbusses and computer networks.
The other extreme is where a computer job uses one or few nodes, and needs little or no inter-node communication, approaching grid computing. In a Beowulf cluster , the application programs never see the computational nodes (also called slave computers) but only interact with the "Master" which is a specific computer handling the scheduling and ...
For example, if each node has unique and comparable identities, then the nodes can compare their identities, and decide that the node with the highest identity is the coordinator. [ 66 ] The definition of this problem is often attributed to LeLann, who formalized it as a method to create a new token in a token ring network in which the token ...
For example, eigenvector centrality uses the eigenvectors of the adjacency matrix corresponding to a network, to determine nodes that tend to be frequently visited. Formally established measures of centrality are degree centrality , closeness centrality , betweenness centrality , eigenvector centrality , subgraph centrality , and Katz centrality .
For a butterfly network with p processor nodes, there need to be p(log 2 p + 1) switching nodes. Figure 1 shows a network with 8 processor nodes, which implies 32 switching nodes. It represents each node as N(rank, column number). For example, the node at column 6 in rank 1 is represented as (1,6) and node at column 2 in rank 0 is represented ...