Big Data  The Challenge for Communication Networks Vinod Namboodiri Associate Professor & Graduate Coordinator Electrical Engineering and Computer Science Wireless, Networking, and Energy Systems Laboratory

NIST’s Smart Grid Model

Data Stream – An Abstract View 3 Data Generators Communications Network Data Processing/ Storage

Why is Data Volume an Issue? Network capacity is a precious resource for electric utilities because they are – either leasing such networks from third-party providers or – building infrastructure themselves and leasing bandwidth out (especially at the backhaul) to recuperate investment costs Often hear “we have all this data…..” – All the data does not need to go all the way W. Luan, D. Sharp, and S. Lancashire, “Smart grid communication network capacity planning for power utilities” Engage Consulting Limited, “High-level smart meter data traffic analysis,” for the Energy Networks Association( ENA). “Arcadian’s Smart Grid: Licensed Spectrum Network to Own or Rent,” Greentechgrid. M. Kennedy, “Leveraging investment in fiber optic communications,” IEEE Smart Grid.

Data Stream – An Abstract View 5 Data Generators Communications Network Data Processing/ Storage Need In-Network Data Processing/Analytics - while retaining most of centralized Big Data benefits

Benefits Reduce costs to transport, store, and process huge volumes of data centrally Allow targeted granular data collection from some sources while settling for coarser data collection from others – Balance utility needs with customer privacy risks (and any data collection regulations) 6

Fundamental Questions What data is absolutely needed by electric utilities and where?, and How can we communicate, store, and process data distributedly for data-intensive, networked applications? 7

Projects and Further Reading Projects: – Towards a Privacy-Aware Information Sharing Framework for Metering in Smart Grids, Power Systems Engineering Research Center (PSERC) NSF I/UCRC, June 2013-August 2015, (PI). Select Publications: – Karimi, B., Namboodiri, V., Jadliwala, M., “Scalable Meter Data Collection in Smart Grids through Message Concatenation,” IEEE Transactions on Smart Grids, vol. 6, pp. 1697–1706, – V. C. Dev, U. Das, V. Namboodiri, S. Chakraborty, V. Aravinthan, Y. Guo, and A. Srivastava, “Towards application-aware data concentration schemes for advanced metering infrastructures,” accepted, 2015 IEEE SmartGridComm, November – Karimi, B., Namboodiri, V., Jadliwala, M. “On the Scalable Collection of Metering Data in Smart Grids through Message Concatenation,” in proceedings of the IEEE SmartGridComm, 2013.