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February 24, 2016

Sensorweb Research Lab Joins the OpenFog Consortium to Help Enable Fog Computing and Security


songAtlanta, GA – February 24, 2016 – The Sensorweb Research Lab joins the OpenFog Consortium to help enable fog computing and security for the Internet of Things (IoT). The founding director of Sensorweb Research Lab, Professor WenZhan Song, attended the OpenFog Consortium’s inaugural member meeting in Chandler, Arizona, USA, February 10-11 2016.  Sensorweb Research Laboratory, formerly affiliated with Georgia State University, is now part of the University of Georgia since August 2016.  The OpenFog Consortium is a public-private nonprofit working to accelerate the deployment of fog computing technologies through the development of an open architecture that identifies core technologies and capabilities such as distributed computing, networking, and storage.

Fog computing distributes the resources and services of computation, communication, control, and storage closer to devices and systems at or near the users.  The OpenFog non-profit global consortium is driving industry and academic leadership in fog computing architectures with whitepapers, testbeds, and other deliverables that demonstrate best practices for interoperability and composability between cloud and edge architectures.  By utilizing existing standards work and proven approaches, the consortium will reduce the time required to deliver the end-to-end IoT scenarios (technologies, architectures, testbeds, and business development) that the market is demanding. Prof. Song will participate in the technology and testbed working groups of the Consortium.

The Sensorweb Research Laboratory is a leading research group on fog computing and security, and will contribute its extensive expertise to the OpenFog Consortium. Dr. Song’s lab is a pioneer and leader on the fog computing and security technologies for the IoT and Smart Grid.

One of his inventions with fog computing is Real-time In-situ Seismic Imaging (RISI) system, a breakthrough technology for monitoring and mapping the subsurface geophysical structures and dynamics in real-time. The key innovation is fog computing, or in-situ computing.  A RISI system is a wireless seismic network that senses and processes seismic signals, and computes 3D undersurface structures in-situ in real-time. Instead of collecting data to a central place for post-processing, the distributed seismic data processing and tomographic computing are performed in the in-situ network and the evolving 3D image is computed and delivered in real-time for visualization. A RISI system can be said as a “subsurface camera and video camera” that records the subsurface dynamics in a snap – a technology milestone and invention to be written in the history. The technology has spin-off a start-up Intelligent Dots, which has won twice  “Most Promising Company” award in the OTC Startup Roundup in May 2015 and the 13th Annual Energy and Clean Technology Venture Forum in September 2015.

Dr. Song’s lab is also a leader on applying fog computing principles to smart grid computing and security. With the integration of advanced computing and communication technologies, Smart Grid holds the promise with the capability of supporting two-way energy and information flow, isolating and restoring power outages more quickly, facilitating the integration of renewable energy sources into the grid and empowering the consumer with tools for optimizing their energy consumption. To enable this requires a new approach, as the traditional way of collecting all data to a central place is no longer a plausible solution, not only because it is expensive and not scalable, but also because of data privacy and delay concerns. Processing data at the network edge of sensors and controllers are extremely important for real-time decision and controls to the dynamic of power grid.

Dr. Song’s lab has led the research of smart grid with fog computing principles, such as distributed demand and response, and data integrity and topology attack issues. The cyber-physical security of smart grid, encompassing attack prevention, detection, mitigation, and resilience, is among the most important research topics and contributions of his lab. His lab has also developed the first micro-grid testbed and emulator for lab research and training purpose.

About the OpenFog Consortium

The OpenFog Consortium was formed to accelerate the deployment of fog computing technologies through the development of an open architecture that identifies core technologies and capabilities such as distributed computing, networking and storage that will support intelligence at the edge of IoT.  The OpenFog Consortium was formed by ARM, Cisco, Dell, Intel, Microsoft Corp, and Princeton University in November 2015, and has members in North America, Europe and Asia. For more information visit www.openfogconsortium.org and on Twitter @openfog.

About Sensorweb Research Laboratory

Sensorweb Research Laboratory is developing Sensor Web systems and applying this revolutionary technology to critical scientific and engineering applications. The Sensor Web is also called Internet of Things, or Cyber-Physical Systems. We are leaders on decentralized sensing, computing and security in energy, environment and health applications.  Sensorweb Research Laboratory is part of the College of Engineering at The University of Georgia in Athens, Georgia.  For more information, please visit http://sensorweb.engr.uga.edu.