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A tree topology, or star-bus topology, is a hybrid network topology in which star networks are interconnected via bus networks. [ 1 ] [ 2 ] Tree networks are hierarchical, and each node can have an arbitrary number of child nodes.
Mercury Computer Systems applied a variant of the fat tree topology—the hypertree network—to their multicomputers. [citation needed] In this architecture, 2 to 360 compute nodes are arranged in a circuit-switched fat tree network. [citation needed] Each node has local memory that can be mapped by any other node.
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.
In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. [1] A forest is an undirected graph in which any two vertices are connected by at most one path, or equivalently an acyclic undirected graph, or equivalently a disjoint union of trees.
Fat tree DCN employs commodity network switches based architecture using Clos topology. [3] The network elements in fat tree topology also follows hierarchical organization of network switches in access, aggregate, and core layers. However, the number of network switches is much larger than the three-tier DCN.
A tree topology is recommended for a large installation. KNX can link up to 57,375 devices using 16-bit addresses. The lowest eight bits provide up to 256 addresses within one line , which can consist of up to four segments , each having a maximum of 64 (TP1-64) devices, or up to 256 (TP1-256) devices.
A hypertree network is a network topology that shares some traits with the binary tree network. [1] It is a variation of the fat tree architecture. [2]A hypertree of degree k depth d may be visualized as a 3-dimensional object whose front view is the top-down complete k-ary tree of depth d and the side view is the bottom-up complete binary tree of depth d.
Trees in the graph-theoretic sense may be viewed as topological or metric spaces by representing each edge as a unit interval, but should instead be categorized into Category:Trees (graph theory). For a different way of generalizing graph-theoretic trees to more general mathematical structures, see also Category:Trees (set theory)