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The NetEqualizer is a bandwidth shaping appliance designed for voice and data networks, created by APconnections in 2003. NetEqualizer traffic shaping appliances use built-in behavior-based algorithms to automatically shape traffic during peak periods on the network. [1]
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.
INASP runs bandwidth management training workshops and produces reports; Network congestion avoidance lists some techniques for prevention and management of congestion on routers; Network traffic measurement is a subset of network monitoring; Traffic shaping and rate limiting are bandwidth management (traffic control) techniques
Traffic shaping is the retiming (delaying) of packets (or frames) until they meet specified bandwidth and or burstiness limits. [1] Since such delays involve queues that are nearly always finite and, once full, excess traffic is nearly always dropped (discarded), traffic shaping nearly always implies traffic policing as well.
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 ...
Networking appliances focus on Application Traffic Management and optimization for wide area networks. [1] They held at least 40 patents for various network optimization methods. [2] Packeteer was acquired by Blue Coat Systems in 2008. [3] [4] [5] Packeteer was a contributing member of the Apdex Alliance. Their main product lines were:
WAN optimization is a collection of techniques for improving data transfer across wide area networks (WANs). In 2008, the WAN optimization market was estimated to be $1 billion, [1] and was to grow to $4.4 billion by 2014 according to Gartner, [2] a technology research firm.
Alternatively, the User-in-the-loop paradigm mitigates the data crunch by shaping the demand side by involving all the users, which makes expensive over-provisioning obsolete. Bandwidth allocation can also be used in reference to the computing industry, in scenarios such as allocating bandwidth to a web site running on a server , or allocating ...
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