CPS: Medium: Collaborative Research: Demand Response & Workload Management for Data Centers with Increased Renewable Penetration
Lead PI:
Junshan Zhang
Co-PI:
Abstract
The confluence of two powerful global trends, (1) the rapid growth of cloud computing and data centers with skyrocketing energy consumption, and (2) the accelerating penetration of renewable energy sources, is creating both severe challenges and tremendous opportunities. The fast growing renewable generation puts forth great operational challenges since they will cause large, frequent, and random fluctuations in supply. Data centers, on the other hand, offer large flexible loads in the grid.
Performance Period: 09/01/2017 - 08/31/2020
Institution: Arizona State University
Sponsor: National Science Foundation
Award Number: 1739344
Abstract
Near-real-time water-quality monitoring in rivers, lakes, and water reservoirs of different physical variables is critical to prevent contaminated water from reaching the civilian population and to deploy timely solutions, or at least to issue early warnings so as to prevent damage to human and aquatic life. In order to make optimal decisions and "close the loop" promptly, it is necessary to collect, aggregate, and process water data in real time.
Performance Period: 09/01/2017 - 08/31/2020
Institution: Rutgers University New Brunswick
Sponsor: National Science Foundation
Award Number: 1739315
Abstract
Sub-millimeter scale cyber-physical systems will have a major impact on future applications. For example, targeted drug delivery or materials conveyance for micro-scale construction are two important application areas on which small-scale systems will advance the current state of the art. However, conventional actuator, sensor, and computational units are generally not available at extremely small scales. This project thus explores the relationships between novel microfabrication, system design for articulated locomotion, and active control of micro, cyber-physical systems.
Performance Period: 09/01/2017 - 08/31/2020
Institution: Carnegie-Mellon University
Sponsor: National Science Foundation
Award Number: 1739308
Abstract
The confluence of two powerful global trends, (1) the rapid growth of cloud computing and data centers with skyrocketing energy consumption, and (2) the accelerating penetration of renewable energy sources, is creating both severe challenges and tremendous opportunities. The fast growing renewable generation puts forth great operational challenges since they will cause large, frequent, and random fluctuations in supply. Data centers, on the other hand, offer large flexible loads in the grid.
Performance Period: 09/01/2017 - 08/31/2020
Institution: University of Illinois at Urbana-Champaign
Sponsor: National Science Foundation
Award Number: 1739189
Abstract
Electrowetting-on-dielectric (EWOD) is a mechanism that allows physical handling of liquids with only electrical signals, such as digitizing a liquid into tiny droplets and manipulating them on a chip, thus enabling "digital microfluidics." As an elegantly simple platform free of pumps or valves, EWOD digital microfluidics has been attracting high research interest in the past 15 years and has recently been transitioned to a few commercial products in displays and biochemistry.
Performance Period: 08/15/2017 - 07/31/2020
Institution: University of California-Los Angeles
Sponsor: National Science Foundation
Award Number: 1720499
Abstract
Large-scale networked systems (such as the power grid, the internet, multi-robot systems, and smart cities) consist of a large number of interconnected components. To allow the entire system to function efficiently, these components must communicate with each other and use the exchanged information in order to estimate the state of the entire system and take optimal actions.
Performance Period: 03/01/2017 - 12/31/2023
Institution: Purdue University
Sponsor: National Science Foundation
Award Number: 1653648
Abstract
The proposed effort will help develop systems in which humans and autonomy are responsible for collective information acquisition, perception, cognition and decision-making. Such collective operation is a necessity as much as it is an augmenting technology. In assistive robotics, for example, the autonomy exists to support functionality that the human users cannot perform. On the other hand, in cases in which a human can adequately operate a platform (e.g., semi-autonomous unmanned vehicles), she effectively augments the robot's abilities.
Performance Period: 04/01/2017 - 03/31/2024
Institution: University of Texas at Austin
Sponsor: National Science Foundation
Award Number: 1652113
Abstract
Sensor energy efficiency is the top critical concern that hinders long-term monitoring in energy-constrained Internet-of-things (IoT) applications. Conventional compressive sensing techniques fail to achieve satisfactory performance in IoT and especially wearable applications due to the lack of prior knowledge about signal models and the overlook of individual variability. The research goal of this CAREER plan is to develop a data-driven and hardware-friendly IoT framework to fundamentally address the unmet energy efficiency need of IoT and especially wearable applications.
Performance Period: 02/15/2017 - 01/31/2022
Institution: Arizona State University
Sponsor: National Science Foundation
Award Number: 1652038
Abstract
Every year, 3.5 million people in the US experience homelessness, with 1 in 30 children becoming homeless. Despite numerous government-sponsored programs and efforts by nonprofit organizations, many homeless people live in abject conditions. This research re-envisions smart city technologies to best serve those in need of access to basic resources including food, shelter and medical services.
Performance Period: 09/01/2016 - 08/31/2018
Institution: Carnegie-Mellon University
Sponsor: National Science Foundation
Award Number: 1651566
Abstract
This project addresses timing attacks in cyber-physical systems, where attackers attempt to compromise the system functionality by changing the timing of computation and communication operations. Timing attacks could be particularly destructive for cyber-physical systems because the correctness of system functionality is affected not only by the data values of operations but also significantly by at what time operations are conducted.
Performance Period: 10/01/2016 - 09/30/2019
Institution: University of California-Riverside
Award Number: 1646641