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Network planning and design is an iterative process, encompassing topological design, network-synthesis, and network-realization, and is aimed at ensuring that a new telecommunications network or service meets the needs of the subscriber and operator. [1] The process can be tailored according to each new network or service. [2]
These factors, and others (such as the performance of the network signaling on the end nodes, compression, encryption, concurrency, and so on) all affect the effective performance of a network. In some cases, the network may not work at all; in others, it may be slow or unusable.
All of the factors above, coupled with user requirements and user perceptions, play a role in determining the perceived 'fastness' or utility, of a network connection. The relationship between throughput, latency, and user experience is most aptly understood in the context of a shared network medium, and as a scheduling problem.
Network architecture is the design of a computer network.It is a framework for the specification of a network's physical components and their functional organization and configuration, its operational principles and procedures, as well as communication protocols used.
Decision support systems: using decision-making software when faced with highly complex decisions or when considering many stakeholders, categories, or other factors that affect decisions. Decision coaching refers to support given by a health-care professionals to assist a person when making a health-related or medical-related decision. [ 46 ]
The end-to-end principle is a design principle in computer networking that requires application-specific features (such as reliability and security) to be implemented in the communicating end nodes of the network, instead of in the network itself.
Broadly speaking, the efficiency of a network can be used to quantify small world behavior in networks. Efficiency can also be used to determine cost-effective structures in weighted and unweighted networks. [2] Comparing the two measures of efficiency in a network to a random network of the same size to see how economically a network is ...
The input to the optimal network design problem is a weighted graph G = (V,E), where the weight of each edge (u,v) in the graph represents the cost of building a road from u to v; and a budget B. A feasible network is a subset S of E, such that the sum of w(u,v) for all (u,v) in S is at most B, and there is a path between every two nodes u and ...