Cisco Doubles Down to Accelerate IoT Adoption with New Application Deployment Options at the Edge and Expanded Fog Computing Portfolio Expands IOx Partner Ecosystems, Increases IOx Platform Support and Outlines Cisco IoE Software and Services Suite for Data Analytics
Chicago, IoT World Forum 2014, October 14, 2014 Today at IoTWF, Cisco outlined an expansion of its fog computing strategy with the second phase of its IOx platform for industrial scale IoT deployments. Cisco outlined increasing industry ecosystem partner momentum and new hardened IoT platform support, and introduced its IOx Application Management Module. As a key part of the Cisco fog computing strategy, IOx enables third party operating systems such as Linux and industry software applications to run directly on Cisco hardened IoT network platforms, which is critical for IoT solutions where applications, storage and compute needs to reside closer to "Things" such as sensors and devices.
Cisco provides a unique value for customers to fully exploit the opportunities created by IoT through its ability to offer networking, compute and storage from cloud to fog. Internet of Things deployments involve unique requirements such as combining distributed sensors and data, optimizing the analysis of data in motion as it enters the network, and centralized control, which requires a new infrastructure approach with strong centralized data center and robust Edge. Ciscos strategy to invest in hybrid Data Center solutions, including the Intercloud as well as in the fog, creates an optimized infrastructure for IoT.
Cisco also today outlined the components of its IoE Software and Services Suite, which expands its IoT offerings and drives IoE value. This suite analyzes the data culled from IoT deployments and connects them with the people and business processes. This process uncovers intelligence as well as application integration, process automation, and context-aware mobile collaboration capabilities to help organizations respond to information more quickly. Cisco recently introduced solutions for urban safety and security, and connected transportation that take advantage of these new capabilities.
Cisco introduces extension of its fog solution with second phase of IOx platform
Over the last 8 months since introducing Cisco IOx, Cisco has driven an eight-fold increase in the number of platforms supporting the architecture. In addition to the Cisco Connected Grid Routers, CGR1120 and CGR1240, Cisco added Cisco IOx support to 16 other platforms, including select Cisco 819, 88x, and 89x series routers. This extension enables fog applications to run in a variety of physical environments for specific industrial use cases such as manufacturing, transportation and energy.
Since the launch of the IOx platform, it has become the de-facto fog infrastructure to deploy key vertical business models with players such as GE (PredixTM), Itron, OSISoft (PI), Intel and WindRiver, smartFOA in Japan, Tieto in the Nordics, Bitstew, Davra, SK Solutions and Rockwell Automation among others announcing support.
To accelerate and scale these industrial fog-based IoT computing models for IoT, Cisco today introduced the IOx Application Management Module. This new software solution helps customers reduce the time and expense involved in managing and monitoring millions of endpoints and their applications running right at the network edge, by centrally managing fog computing applications running on Cisco IOx edge.
Todays announcement helps provide developers and operators with greater visibility for large-scale IoT deployments, and will make the process of getting sensors and applications on and off the network much more efficient.
Cisco provides a complete end-to-end safety and security solution for IoT infrastructures from cyber and physical security, to the core network and fog computing components to tie it all together. By delivering edge-based storage and compute capabilities, the fog computing framework enables robust analytics of safety and security data throughout the IoT deployments and transforms security data into comprehensive security intelligence thats actionable in real time.
Cisco IoE Software and Services Suite
Today Cisco also outlined the key components of its Internet of Everything Software and Services Suite. The suite consists of software, services and solutions that turn the data from the Internet of Things into business impact through automated processes and engaging personal interfaces.
The suite includes real-time decision-making solutions via analytics, data virtualization, and data integration software that reach and process data from the core to the edge of the network, and take advantage of the Cisco IOx and fog computing models to create actionable business intelligence.
The Cisco IoE Software and Services Suite helps enterprises adjust to changing conditions though the integration and automation of distributed processes. It supports the integration of applications and infrastructure by way of API management and integration software. The suite also enables business operations through a network-embedded application platform for engaging mobile-collaborative next generation experiences.
Recently, Cisco enhanced its IoT portfolio with intelligence and analytics in its Video Surveillance 7.6 solution, to provide video analytics at the edge for urban- and business safety and security applications. This allows intelligent event processing and classification and enables exceptional event action and management even before the data is analyzed at a central location.
As part of the Cisco Connected Transportation solution, a sensor network with computing power at the edge using Cisco fog computing provides rail operators with the ability to utilize analytics from the Cisco IoE Software and Services Suite to aggregate data generate
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Cisco Doubles Down to Accelerate IoT Adoption with New Application Deployment Options at the Edge and Expanded Fog Computing Portfolio Expands IOx Partner Ecosystems, Increases IOx Platform Support and Outlines Cisco IoE Software and Services Suite for Data Analytics 
