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As long as the bandwidth can support the stream, and the buffer size is sufficient, buffering only causes a detectable delay before the start of media playback. However, for interactive real-time applications, e.g., voice over IP (VoIP), PDV can be a serious issue and hence VoIP transmissions may need quality-of-service –enabled networks to ...
Larger buffers are required by the high performance options described below. Buffering is used throughout high performance network systems to handle delays in the system. In general, buffer size will need to be scaled proportionally to the amount of data "in flight" at any time.
Note that 3 shows a swap chain with three buffers; the original definition of triple buffering would throw away frame C as soon as frame D finished, and start drawing frame E into buffer 1 with no delay. Set 4 shows what happens when a frame (B, in this case) takes longer than normal to draw. In this case, a frame update is missed.
An established rule of thumb for the network equipment manufacturers was to provide buffers large enough to accommodate at least 250 ms of buffering for a stream of traffic passing through a device. For example, a router's Gigabit Ethernet interface would require a relatively large 32 MB buffer. [ 4 ]
Nagle's algorithm works by combining a number of small outgoing messages and sending them all at once. Specifically, as long as there is a sent packet for which the sender has received no acknowledgment, the sender should keep buffering its output until it has a full packet's worth of output, thus allowing output to be sent all at once.
When a station wishes to pause the other end of a link, it sends a pause frame to either the unique 48-bit destination address of this link or to the 48-bit reserved multicast address of 01-80-C2-00-00-01. [2]: Annex 31B.3.3 The use of a well-known address makes it unnecessary for a station to discover and store the address of the station at ...
In computer science, a data buffer (or just buffer) is a region of memory used to store data temporarily while it is being moved from one place to another. Typically, the data is stored in a buffer as it is retrieved from an input device (such as a microphone) or just before it is sent to an output device (such as speakers); however, a buffer may be used when data is moved between processes ...
A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]