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Limiting the speed of data sent by a data originator (a client computer or a server computer) is much more efficient than limiting the speed in an intermediate network device between client and server because while in the first case usually no network packets are lost, in the second case network packets can be lost / discarded whenever ingoing data speed overcomes the bandwidth limit or the ...
The dominant equation here is the Shannon–Hartley theorem, and analog limitations of this type can be understood as factors that affect either the analog bandwidth of a signal or as factors that affect the signal-to-noise ratio. The bandwidth of wired systems can be in fact surprisingly narrow, with the bandwidth of Ethernet wire limited to ...
Upstream speeds are also important to users of peer-to-peer software. Residential services often have higher downstream rates than upstream, while business services are often symmetric. ADSL and cable modems are asymmetric , with the upstream data rate much lower than that of its downstream.
This is due to the effect of overheads which are used to format the data in an agreed manner so that both ends of a connection have a consistent view of the data. There are at least two issues that aren't immediately obvious for transmitting compressed files: The throughput of the network itself isn't improved by compression.
Individual users are given limited access to the information about their Internet access other than the download and upload speeds. Further, they are not generally told when their use of the network experiences a bottleneck [citation needed] nor are they told about the actual speeds at which their Internet will function.
The speed of light imposes a minimum propagation time on all electromagnetic signals. It is not possible to reduce the latency below = / where s is the distance and c m is the speed of light in the medium (roughly 200,000 km/s for most fiber or electrical media, depending on their velocity factor).
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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 ...
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