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United States : Cisco Delivers Vision of Fog Computing to Accelerate Value from Billions of Connected Devices [TendersInfo (India)]
[January 31, 2014]

United States : Cisco Delivers Vision of Fog Computing to Accelerate Value from Billions of Connected Devices [TendersInfo (India)]


(TendersInfo (India) Via Acquire Media NewsEdge) This week, Cisco continued delivering on its vision for fog computing, transforming the network edge into a distributed computing infrastructure for applications that take advantage of the billions of devices already connected in the Internet of Things (IoT). With the new Cisco® IOx capability, customers from all segments and solution providers across industries will be able to develop, manage and run software applications directly on Cisco industrial networked-devices, including hardened routers, switches and IP video cameras. With applications closer to where actionable data is generated, customers can more easily manage the massive amount of data that is projected to come out of people, process and things in the Internet of Everything (IoE) and derive more value from their existing networks. Companies will be able to become more innovative, agile and efficient in their operations as a result.



At the leading smart grid event, DistribuTECH, Cisco hosted a discussion with industry leaders on the growing need for distributed computing in IoT for managing the smart grid, adding greater automation in process industries and more efficiency in the public sector.

Key Highlights: Cisco conservatively estimates that there will be 50 billion connected devices by 2020. These devices are creating a tidal wave of data that is expensive to move to existing cloud environments for analysis and conversion to useful content. To better monitor, manage and respond to the massive amount of data generated by IoT, IOx allows applications to run as close as possible to the data source and create automated responses that drive value. For example: Smart Energy Distribution: Energy load balancing applications running on network edge devices that automatically switch to alternative energies like solar and wind based on energy demand, availability and the lowest price. Smarter Traffic Lights: As a video camera senses an ambulance flashing lights, it can automatically change streetlights to open lanes for the vehicle to pass through traffic. Smart streetlights can help achieve energy savings with intelligent lighting, which only turns on once a sensor identifies movement and switches off as traffic passes. Self-Maintaining Trains: Sensor monitoring on a train s ball-bearing can detect heat levels, allowing applications to send an automatic alert to the train operator to stop the train at next station for emergency maintenance and avoid potential derailment. Lifesaving Air Vents: Sensors on vents monitor air conditions flowing in and out of mines and automatically change air-flow if conditions become dangerous to miners.


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