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Bandwidth commonly measured in bits/second is the maximum rate that information can be transferred Throughput is the actual rate that information is transferred Latency the delay between the sender and the receiver decoding it, this is mainly a function of the signals travel time, and processing time at any nodes the information traverses
The consumed bandwidth in bit/s, corresponds to achieved throughput or goodput, i.e., the average rate of successful data transfer through a communication path.The consumed bandwidth can be affected by technologies such as bandwidth shaping, bandwidth management, bandwidth throttling, bandwidth cap, bandwidth allocation (for example bandwidth allocation protocol and dynamic bandwidth ...
For example, bandwidth tests measure the maximum throughput of a computer network. The reason for this usage is that according to Hartley's law, the maximum data rate of a physical communication link is proportional to its bandwidth in hertz, which is sometimes called frequency bandwidth, spectral bandwidth, RF bandwidth, signal bandwidth or ...
Throughput is usually measured in bits per second (bit/s, sometimes abbreviated bps), and sometimes in packets per second (p/s or pps) or data packets per time slot. The system throughput or aggregate throughput is the sum of the data rates that are delivered over all channels in a network. [1] Throughput represents digital bandwidth consumption.
Bandwidth commonly refers to: Bandwidth (signal processing) or analog bandwidth, frequency bandwidth, or radio bandwidth, a measure of the width of a frequency range; Bandwidth (computing), the rate of data transfer, bit rate or throughput; Spectral linewidth, the width of an atomic or molecular spectral line; Bandwidth may also refer to:
For example, a single link PCIe 3.0 interface has an 8 Gbit/s transfer rate, yet its usable bandwidth is only about 7.88 Gbit/s. z Uses 8b/10b encoding , meaning that 20% of each transfer is used by the interface instead of carrying data from between the hardware components at each end of the interface.
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Compared to Jain's fairness index, G's fairness index yields smaller values, it is more sensitive to potential unfair bandwidth distribution and can go to zero. In the context of networks, the latter is an advantage over Jain's fairness index when a few values in a set drop to low levels.