On Using Cloud Platforms in a Software Architecture for Smart Energy Grids

Increasing concern about energy consumption is leading to infrastructure that continuously monitors consumer energy usage and allow power utilities to provide dynamic feedback to curtail peak power load. Smart Grid infrastructure being deployed globally needs scalable software platforms to rapidly integrate and analyze information streaming from millions of smart meters, forecast power usage and respond to operational events. Cloud platforms are well suited to support such data and compute intensive, always-on applications. We examine opportunities and challenges of using cloud platforms for such applications in the emerging domain of energy informatics.

[1]  Jano I. van Hemert,et al.  Towards optimising distributed data streaming graphs using parallel streams , 2010, HPDC '10.

[2]  Yogesh Simmhan,et al.  Streaming satellite data to cloud workflows for on-demand computing of environmental data products , 2010, The 5th Workshop on Workflows in Support of Large-Scale Science.

[3]  Avideh Zakhor,et al.  Distributed video streaming over Internet , 2001, IS&T/SPIE Electronic Imaging.

[4]  Robert L. Grossman,et al.  Sector and Sphere: the design and implementation of a high-performance data cloud , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[5]  Alain Biem,et al.  Real-Time Traffic Information Management using Stream Computing , 2010, IEEE Data Eng. Bull..