Workshop 3: 2013 DAC Workshop on Embedded Systems for Energy-Efficient Smart Infrastructures (ESSI)
Sunday, June 2, 2013
Time: 9:00 AM — 5:00 PM
Embedded Architecture & Platforms
|Organizers: ||Yiyu Shi - Missouri Univ. of Science and Technology, Rolla, MO|
| ||Shiyan Hu - Michigan Technological Univ., Houghton, MI|
|Speakers: ||Marija Ilic - Carnegie Mellon Univ., Pittsburgh, PA|
| ||Alfonso Valdes - Univ. of Illinois at Urbana-Champaign, IL|
| ||David B. Bartlett - IBM Corp., Yorktown, NY|
| ||Charlie Catlett - Argonne National Lab, Lemont, IL|
| ||Stephen Boyd - Stanford Univ., Stanford, CA|
| ||Amy Wang - Tsinghua Univ., Beijing, China|
| ||Edmund Widl - Austrian Institute of Technology, Vienna, Austria|
| ||Aiwu Shi - China Standard Software Company, LTD, Beijing, China|
Smart infrastructures that provide energy-efficient, reliable and secure services are currently hot topics under discussion by government, the media, and the researchers. They can be found in many different applications at different scales, such smart wireless networks, smart meters for smart homes, and smart data centers.
While significantly different in contexts, those applications share one thing in common: they need embedded systems to optimize the performance based on the information/data gathered from the meters/sensors. Depending on the level of smartness, those embedded systems can use the gathered information/data to help improve future designs, or to assist operators to with decision making, or to automatically adjust operations. While smart infrastructures can serve for many purposes, this workshop is particularly interested in those with energy efficiency as the primary target.
Of course, various other factors such as reliability, security, privacy, flexibility and controllability should also be considered. Those metrics together impose stringent constraints on the embedded systems that operate the smart infrastructures. Particular challenges include, but not limited to, the information/data collection without triggering privacy and security issues, the efficient data fusion and analysis, the real-time response design, the robustness in the presence of contingencies, and software/hardware co-design.
A good example of embedded systems in the context of energy-efficient smart infrastructures, which also serve as a sample of the workshop scope, is the smart home. In smart homes, all components such as various household appliances and plug-in hybrid electric vehicles (PHEVs) are connected to home area networks and smart meters, and are controlled through demand side management (DSM) technologies.
With the emerging real-time pricing schemes, DSM can achieve efficient energy usage as well as monetary expense reduction. It also enables the integration of renewable energy resources, and facilitates the peak-to-average load ratio reduction for balancing energy consumption in the power transmission and distribution system. The core of DSM lies in the salient design of appropriate embedded systems to schedule and control the operation of household appliances and PHEVs. Moreover, advanced embedded system optimization techniques can also be explored for more intelligent control.
On the other hand, since smart meters are networked, hackers could remotely tamper smart meter readings or intercept wireless communications from individual smart meters to find the right time for home burglaries. Furthermore, the contingency due to equipment failure and power outage/blackout in the local power distribution network can also significantly impact the performance of the system. Thus, the smart home embedded system designs, which can conserve energy and reduce carbon footprint while considering cyber security and reliability of the system, are highly desired.
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