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Deterministic Networking (DetNet) is an effort by the IETF DetNet Working Group to study implementation of deterministic data paths for real-time applications with extremely low data loss rates, packet delay variation (jitter), and bounded latency, such as audio and video streaming, industrial automation, and vehicle control.
In telecommunications, deterministic routing is the advance determination of the routes between given pairs of nodes. Examples: In a network where routing is controlled by a telephone switch or network switch, switching in which the routes between given pairs of nodes are pre-programmed, i.e., are determined, in advance of transmission.
The goals of Deterministic Networking are to migrate time-critical, high-reliability industrial and audio-video applications from special-purpose Fieldbus networks to IP packet networks. To achieve these goals, DetNet uses resource allocation to manage buffer sizes and transmission rates in order to satisfy end-to-end latency requirements.
Three traffic classes cover different types of determinism - from soft-time best-effort traffic to "more deterministic" to "very deterministic" (max.latency defined per VL) to "strictly deterministic" (fixed latency, μs-jitter), thus creating a deterministic unified Ethernet networking technology.
ARINC 664 Part 7 defines the use of a deterministic Ethernet network as an avionic databus in later aircraft like the Airbus A380 and the Boeing 787. This standard defines virtual point-to-point connections implementing the same concept as used in ARINC 429. In contrast to 429, these connections do not exist physically, but as TDMA logical ...
AFDX adopted concepts such as the token bucket from the telecom standards, Asynchronous Transfer Mode (ATM), to fix the shortcomings of IEEE 802.3 Ethernet. By adding key elements from ATM to those already found in Ethernet, and constraining the specification of various options, a highly reliable full-duplex deterministic network is created providing guaranteed bandwidth and quality of service ...
Speaking at Russia's flagship AI conference, Putin said the new AI Alliance Network would include national associations and development institutions in the field of AI from BRICS countries and ...
A scale-free network is a type of networks that is of particular interest of network science.It is characterized by its degree distribution following a power law. While the most widely known generative models for scale-free networks are stochastic, such as the Barabási–Albert model or the Fitness model can reproduce many properties of real-life networks by assuming preferential attachment ...