Invited Speakers

Leveraging Renewable Energy in Datacenters: Present and Future
Ricardo Bianchini
, Rutgers University

Interest has been growing in powering datacenters (at least partially) with renewable or "green" sources of energy, such as solar or wind. However, it is challenging to use these sources because, unlike the "brown" (carbon-intensive) energy drawn from the electrical grid, they are not always available. In this talk, I will first discuss the tradeoffs involved in leveraging green energy today and the prospects for the future. I will then discuss the main research challenges and questions involved in managing the use of green energy in datacenters. Next, I will describe some of the software and hardware that researchers are building to explore these challenges and questions. Specifically, I will overview systems that match a datacenter's computational workload to the green energy supply. I will also describe Parasol, the solar-powered micro-datacenter we have recently built at Rutgers University. Finally, I will discuss some potential avenues for future research on this topic.

Ricardo Bianchini is currently a Professor of Computer Science at Rutgers University. Prof. Bianchini received his PhD degree in Computer Science from the University of Rochester. His research interests include cloud computing, and power/energy/thermal management of data centers. In fact, Prof. Bianchini is a pioneer in data center energy management, energy-aware storage systems, energy-aware load distribution across data centers, and leveraging renewable energy in data centers. Prof. Bianchini has co-chaired the program committee of several conferences and workshops, and currently serves on the editorial board of four journals. Prof. Bianchini has published five award papers, and has received the CAREER award from the National Science Foundation. He is currently an ACM Distinguished Scientist.

Towards the Design and Operation of Net-Zero Energy Data Centers
Yuan Chen, HP Labs

In this talk, we present a holistic end-to-end management solution - Net-Zero Energy Data Center - for optimizing the design and operation of data centers to minimize the life time energy cost and carbon footprint. We discuss several key techniques that have been developed: (1) optimizing the design and size of data center energy infrastructure; (2) scheduling IT workloads based on (renewable) resource availability and SLAs; (3) dynamically provisioning IT and cooling resources according to needs and integrated management of IT and cooling resources; and (4) improving the effective utilization of servers by managing the collocation of critical (e.g., interactive apps.) and non-critical (e.g., batch jobs) workloads on virtualized multi-core servers. We describe a prototype implementation of Net-Zero energy data center that achieves Net-Zero grid energy use while meeting all critical performance criteria and incurring minimal capital infrastructure expense - lowering the total data center power costs by 30% and dependence on a larger power grid by more than 80%.

Yuan Chen is a Senior Researcher in Systems Research Lab at HP Labs. Yuan's research is in the area of management of distributed systems, data center and Cloud with a focus on developing energy-efficient technology to reduce power consumption and carbon footprint of data centers. He is particularly interested in models, energy-efficient algorithms and software for control and optimization of data center workload and resource management. Yuan has published over 40 technical papers in peer-reviewed journals and conferences proceedings, including the Best Paper Award of International Green Computing Conference (IGCC 2011) and the Best Paper Award of IEEE/IFIP Network Operations and Management Symposium (NOMS 2008). He has one patent granted and over 20 patent applications pending. He was the organizer and co-chair of the 2008 Sustainability Innovation Workshop. Yuan received a B.S. from University of Science and Technology of China, a M.S. from Chinese Academy of Sciences, and a Ph.D. from Georgia Institute of Technology, all in Computer Science.

Engineering IT-Enabled Sustainable Electricity Services: The Tale of Two Low-Cost Green Azores Islands
Marija Ilić, Carnegie Mellon University

In this talk we present a preview of the upcoming Springer monograph. We use the islands of Sao Miguel and Flores to illustrate an end-to-end IT framework for enabling deployment of new hardware technologies into the existing electric power systems at value. We explain how the proposed IT framework could evolve in synchrony with the existing utility control centers and their Supervisory Control and Data Acquisition (SCADA). We illustrate how such an IT approach could transform the islands into green islands in which expensive diesel generation is replaced by a mix of wind and solar power plants, and fleets of electric vehicles. In particular, we show how carefully architected IT enables electricity service at value and according to choice. This is done without damaging continuity of services defined according to terms between the service providers and users. We illustrate dynamic deployment of wind and solar power, responsive demand, including PHEVs, according to the value they bring to those needing them. Most importantly, the overall operations and planning process becomes much more manageable and simpler when enabled by the right IT.

Marija Ilić is a faculty member in the Departments of Electrical & Computer Enegineering and Engineering & Public Policy at Carnegie Mellon University. Prof. Ilić has 30 years of experience in teaching and research in the area of electrical power system modeling and control. Her main interest is in the systems aspects of operations, planning, and economics of the electric power industry.

Demand Side Energy Management in Smart Buildings
Prashant Shenoy, University of Massachusetts

Today, buildings account for nearly 75% of the electricity usage and 40% of the total energy usage in modern economies. Consequently, techniques for reducing the energy and carbon footprint of buildings has emerged as an important research topic. Demand side energy management refers to techniques employed by smart buildings or its occupants to modulate the energy usage for various energy- or grid-level optimizations. In this talk, I will argue that modeling and prediction of electrical loads is a key ingredient of any demand-side energy management technique. I will describe opportunities and challenges in modeling these loads and describe our recent work in empirically characterizing and modeling common residential loads. I will also describe how better modeling can result in more effective demand side energy management and better energy efficiency improvements.

Prashant Shenoy is currently a Professor of Computer Science at the University of Massachusetts Amherst. He received the B.Tech degree in Computer Science and Engineering from the Indian Institute of Technology, Bombay and the M.S and Ph.D degrees in Computer Science from the University of Texas, Austin. His research interests lie in distributed systems and networking, with a recent emphasis on cloud and green computing. He has been the recipient of the National Science Foundation Career Award, the IBM Faculty Development Award, the Lilly Foundation Teaching Fellowship, and the UT Computer Science Best Dissertation Award, and several best paper awards at leading conferences. He serves on editorial boards of the ACM Transactions on the Web and the Multimedia Systems journal and will serve as the Program Chair of ACM Buildsys'13 and ACM eEnergy'14.
Previously, he has served as the program chair for ACM Multimedia, ACM Sigmetrics, World Wide Web, Performance, Multimedia Computing and Networking, IEEE Comsnets. He is a distinguished member of the ACM and a fellow of the IEEE.