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Juniper grew to $673 million in annual revenues by 2000. By 2001 it had a 37% share of the core routers market, challenging Cisco's once-dominant market-share. [3] [4] It grew to US$4 billion in revenues by 2004 and $4.63 billion in 2014. Juniper appointed Kevin Johnson as CEO in 2008, Shaygan Kheradpir in 2013 and Rami Rahim in 2014.
In 2004 Juniper made a $4 billion acquisition of network security company NetScreen Technologies. [4] Juniper revised NetScreen's channel program that year and used its reseller network to bring other products to market. [5] Juniper made five acquisitions in 2005, mostly of startups with deal values ranging from $8.7 to $337 million.
The Juniper T series is a line of core routers designed and manufactured by Juniper Networks. [ 1 ] [ 2 ] The T-series core router family comprises the T320, T640, T1600, T4000, TX Matrix, and TX Matrix Plus, designed for high-end and core networks with throughput from 320 Gbit/s to 25.6 Tbit/s with a maximum forwarding rate of 30.7 billion pps .
Discover the latest breaking news in the U.S. and around the world — politics, weather, entertainment, lifestyle, finance, sports and much more.
Technology Connections is an American YouTube channel covering the history and mechanics of consumer electronics, home appliances, and other pieces of technology, created by Alec Watson of Chicago, Illinois. Subjects of focus include transportation, [3] HVAC, refrigeration, photography, and home audio and video, among others. The channel, which ...
Graphical Network Simulator-3 (shortened to GNS3) is a network software emulator first released in 2008. [2] [3] [4] It allows the combination of virtual and real devices, used to simulate complex networks.
In computer networking, the ICMP Internet Router Discovery Protocol (IRDP), also called the Internet Router Discovery Protocol, [1] is a protocol for computer hosts to discover the presence and location of routers on their IPv4 local area network.
Bluefin Labs uses proprietary algorithms to match social media comments to televised content. The methodology of associating comments to TV is composed of three parts: temporal analysis (looking at when a comment is posted), semantic analysis (matching written comments to what's on TV), and machine learning (the ongoing process of training and re-training the matching algorithm).