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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.
Inter-network routing and global addressing are higher-layer functions, allowing data-link protocols to focus on local delivery, addressing, and media arbitration. In this way, the data link layer is analogous to a neighborhood traffic cop; it endeavors to arbitrate between parties contending for access to a medium, without concern for their ...
A capsule neural network (CapsNet) is a machine learning system that is a type of artificial neural network (ANN) that can be used to better model hierarchical relationships. The approach is an attempt to more closely mimic biological neural organization.
The channel access control mechanism relies on a physical layer multiplex scheme. The most widespread multiple access method is the contention-based CSMA/CD used in Ethernet networks. This mechanism is only utilized within a network collision domain, for example, an Ethernet bus network or a hub-based star topology network.
The IP address in CIDR notation is always represented according to the standards for IPv4 or IPv6. The address may denote a specific interface address (including a host identifier, such as 10.0.0.1 / 8), or it may be the beginning address of an entire network (using a host identifier of 0, as in 10.0.0.0 / 8 or its equivalent 10 / 8).
In telecommunications and computer networks, a channel access method or multiple access method allows more than two terminals connected to the same transmission medium to transmit over it and to share its capacity. [1] Examples of shared physical media are wireless networks, bus networks, ring networks and point-to-point links operating in half ...
Distributed algorithmic mechanism design (DAMD) is an extension of algorithmic mechanism design. DAMD differs from Algorithmic mechanism design since the algorithm is computed in a distributed manner rather than by a central authority. This greatly improves computation time since the burden is shared by all agents within a network.
Network formation is an aspect of network science that seeks to model how a network evolves by identifying which factors affect its structure and how these mechanisms operate. Network formation hypotheses are tested by using either a dynamic model with an increasing network size or by making an agent-based model to determine which network ...