Academics

Lecture by Dr. Tianyi Chen (University of Minnesota), Sep. 5th

Published:2016-09-01 

Resource Allocation for Cloud Networks under Uncertainty: Stochastic and Big Data-driven Approaches.

Speaker:Dr. Tianyi Chen (University of Minnesota)

Time and Date: 14:00- , Sep. 5, 2016

Place: Room B415, Building of Computing, Handan Campus

 

 

Abstract

A large number of data centers begin to surge in the era of data deluge and information explosion. To meet the rapid growth in demand for massive data processing, the infrastructure of future cloud networks must be energy-efficient and sustainable. This prompts leveraging modern smart grid features including e.g., renewable energy. Yet, their full benefits can only be harnessed by properly mitigating its intrinsically stochastic nature, which is still a challenging task. In this talk, we will start with a distributed optimization framework for online resource allocation over cloud networks and the underlying algorithmic challenges. In the second part of the talk, we will focus on how to overcome the limitations of existing online schemes by learning from historical data. To reduce the stochasticity of future decision making, order-optimal learning approaches are developed for both batch training and online testing. It is - both analytically and empirically - established that valuable insights from big data analytics can enable a markedly improved resource allocation policy by learning historical user and environmental patterns.

 

 

Biography

Tianyi Chen received the B. Eng. degree (with honors) in Communication Science and Engineering from Fudan University, China, and the M.Sc. degree in Electrical Engineering from the University of Minnesota, in 2014 and 2016, respectively. Since July 2016, he has been with SPiNCOM, working toward his Ph.D. degree in the Dept. of ECE at the University of Minnesota. His research interests lie in online convex optimization, data-driven network optimization with applications to smart grids, sustainable cloud networks, and green communications. He received the Student Travel Grant from the IEEE Communications Society in 2013, a National Scholarship from China in 2013, and the UMN ECE Department Fellowship in 2014.

 

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