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IoT
One of the new challenges arising with the use of edge, fog, and cloud architectures is the connection of components to each other and to the public cloud. An important element of developing a solution capturing all pieces is the IoT framework susietec
At the field, or edge level, data is collected by industrial computers, e.g. by gateways, which process, filter, analyze and act on these data in real-time right at the device.
Edge, fog and cloud applications demand increasing computing power. The interfaces to sensors or machines often require non-standard solutions. Especially in smaller machines, space is limited or restricted in some dimension and need a special solution.
Today, the connection from the sensor device to the embedded cloud takes place via real-time data communication, on sensor and edge level - for example Industrial Ethernet or fieldbuses - and gateways , which provide the transformation of real time data into the informational area.
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COTS 40 Gig ATCA Platforms - Deep Packet Inspection
The adoption rate is increasing for commercial-off-the-shelf (COTS) 40G ATCA platforms and blades for Deep Packet Inspection (DPI) depoyed in LTE networks. Growth in mobile data traffic networks will require more efficient and powerful deterministic processing of applications such as packet processing, deep packet content inspection (RegEx), application-aware switching and routing, parsing, IPv6/IPv4 forwarding, compression and decompression, and Quality-of-Service (QoS), all at 40Gbps wire-speed. As a result, Kontron launched at Mobile World Congress 2011 in Barcelona, the new AT8242 64-core Packet Processor Blade featuring OCTEON II processors from Cavium networks.
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