Shaolei Ren's Homepage

Shaolei Ren 

I've joined the University of California, Riverside. I have multiple openings available for graduate students (with full financial support) and visiting scholars. Please contact me if you're interested.

My new homepage at UCR is:
(My FIU homepage may no longer be updated!)


Recent Updates

  • New Paper “Greening Multi-Tenant Data Center Demand Response” will appear in the 33rd International Symposium on Computer Performance, Modeling, Measurements and Evaluation (IFIP WG7.3 Performance) 2015! [PDF]

    • Extended abstract appears at The Workshop on MAthematical performance Modeling and Analysis (MAMA) 2015. [PDF]

  • New Paper “Water-Constrained Geographic Load Balancing in Data Centers” will appear in IEEE Transactions on Cloud Computing (Special Issue on Green and Energy-Efficient Cloud Computing)!

  • New Paper “A Contract Design Approach for Colocation Data Center Demand Response” will appear in IEEE/ACM International Conference on Computer-Aided Design (ICCAD) 2015!

  • New Paper “Optimal Aggregation Policy for Reducing Tail Latency of Web Search” will appear in the 38th ACM SIG on Information Retrieval (SIGIR) 2015!

  • New Paper “Paying to Save: Reducing Cost of Colocation Data Center via Rewards” will appear in the 21st IEEE International Symposium on High Performance Computer Architecture (HPCA) 2015! [PDF] [Slides]

  • New Paper “A Truthful Incentive Mechanism for Emergency Demand Response in Colocation Data Centers” will appear in IEEE Conference on Computer Communications (INFOCOM), 2015. [PDF]

  • Two papers will appear in USENIX International Conference on Autonomic Computing (ICAC) 2014!

  • Article How Can Supercomputers Survive a Drought? appears at HPCwire



It's well-known that data centers are extremely power hungry. In the U.S., operators need to spend roughly 10 billion USD or more on their electricity bills each year. Admittedly, a handful of top-brand IT firms, e.g., Google, Facebook, Microsoft, and Apple, are doing great jobs in data center energy efficiency. But, they seem to have delivered to the public a “misleading” signal: data centers are already energy-efficient enough.

The existing efforts led by those Google-type IT giants as well as the research community have been primarily focused on those “hyper-scale data centers” (e.g., Google's data centers), which, however, are just a very small segment of the data center industry.

My research focuses on power-management in multi-tenant colocation data centers. A few examples of colocation data centers are Equinix, Digital Realty, Verizon Terremark, CoreSite, etc. These data centers are “hidden” from the public and hence rarely investigated by the research community, but they constitute a much bigger segment of the data center industry than those so-called hyper-scale cloud data centers. More importantly, multi-tenant colocation data centers present unique efficiency challenges that cannot be addressed by the existing solutions! For more details, please refer to the project page:


  • University of California, Los Angeles, Ph.D., 2012

  • The Hong Kong University of Science and Technology, M.Phil., 2008

  • Tsinghua University, B.E., 2006


  • University of California, Riverside, July 2015 – Present

    • Assistant Professor, Department of Electrical and Computer Engineering

  • Florida International University, August 2012 – June 2015

    • Assistant Professor, School of Computing and Information Sciences
      (Jointly with Department of Electrical and Computer Engineering)


Shaolei Ren
Department of Electrical and Computer Engineering
University of California, Riverside

E-mail: sren (AT)