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In computer networking, the contention ratio is the ratio of the potential maximum demand to the actual bandwidth. The higher the contention ratio, the greater the number of users that may be trying to use the actual bandwidth at any one time and, therefore, the lower the effective bandwidth offered, especially at peak times. [1]
without bandwidth throttling, a server could efficiently serve only 100 active TCP connections (100 MB/s / 1 MB/s) before saturating network bandwidth; a saturated network (i.e. with a bottleneck through an Internet Access Point) could slow down a lot the attempts to establish other new connections or even to force them to fail because of ...
Traffic shaping is a bandwidth management technique used on computer networks which delays some or all datagrams to bring them into compliance with a desired traffic profile. [ 1 ] [ 2 ] Traffic shaping is used to optimize or guarantee performance, improve latency , or increase usable bandwidth for some kinds of packets by delaying other kinds.
Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.
In telecommunications, the term bandwidth compression has the following meanings: The reduction of the bandwidth needed to transmit a given amount of data in a given time . The reduction of the time needed to transmit a given amount of data in a given bandwidth.
Congestive collapse (or congestion collapse) is the condition in which congestion prevents or limits useful communication. Congestion collapse generally occurs at choke points in the network, where incoming traffic exceeds outgoing bandwidth. Connection points between a local area network and a wide area network are common choke points.