SMC Seminar on Clean and Efficient Dynamic Provisioning in Green Cloud Data Centers

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Clean and Efficient Dynamic Provisioning in Green Cloud Data Centers

Jing Bi, Ph.D. & Associate Professor

School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China


Place: ECEC 202

Time: 2pm, December 18, 2018

 

 

Cloud computing is growingly used by companies, governments and organizations. It is usually implemented in data centers where there are millions of servers and cooling facilities. An increasing number of users send their tasks to large-scale green cloud data centers (GCDCs) (e.g., Amazon and Google), and this significantly increases the amount of energy consumption. This talk introduces some emerging progress made in this field and emerging challenges on how to realize various clean and efficient dynamic provisioning methods for applications in GCDCs, including: (1) workload prediction for efficiency dynamic resource provisioning; (2) economic electric power network and workload scheduling for profit maximization; an d (3) open research problems, directions and outlooks for future studies.

 

Jing Bi received her B.S., M.S. and Ph.D. degrees in Computer Science from Northeastern University, Shenyang, China. She is currently an Associate Professor with the School of Software Engineering, Faculty of Information Technology, Beijing University of Technology, Beijing, China. She is currently also a visiting research scholar with the Department of Electrical and Computer Engineering, New Jersey Institute of Technology (NJIT), Newark, NJ. She was a Post-doc researcher at Department of Automation, Tsinghua University, Beijing, China. She was a research scientist at the Beijing Research Institute of Electronic Engineering Technology, Beijing, China. She was a research assistant and participated in research on cloud computing at the IBM Research-China. Her research interests are in distributed computing, cloud computing, large-scale data analytics, machine learning and performance optimization. She has over 60 publications including journal and conference papers. Dr. Bi was the recipient of IBM Ph.D. Fellowship Award. She is a Senior Member of the IEEE.


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  • 323 BLK Blvd
  • Newark, New Jersey
  • United States 07102-1982
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  • Starts 01 December 2018 10:52 PM UTC
  • Ends 17 December 2018 10:52 PM UTC
  • No Admission Charge

  Speakers

Jing Bi