|Fellowship: Pengyuan Zhou joined CleanSky ITN on September 1st, 2015. He was selected for the ESR 1 fellowship and is investigating energy consumption in data centers at the University of Helsinki.
Bio: I received my Bachelor and Master degree from University of Science and Technology Beijing in 2011 and 2015 respectively. I majored in Electrical Engineering during undergraduate study. My master thesis is a research on scheduling of SDN-based Intra-datacenter network. With the basic well designed fat-tree network which gets high efficiency in traffic distribution, this work adds the software based control function into the relative static deterministic data forwarding algorithm. The programmable controller is responsible for the management of the traffic scheduling including topology discovery, routing and device management.
|What’s your motivation for doing your PhD, and why within CleanSky?|
|I like digging deeper when I met with an interesting issue. The internet is without doubt the most influential and powerful tool in today’s world. That’s why I want to keep pursuing research on network related topics. This PhD degree program funded by CleanSky provides both great opportunity to work with top researchers in the field and a good research environment. I’m glad and lucky that I can be a part of it.|
|What is your goal after finishing your PhD?|
|Maybe I’ll keep researching on networking. The formation of the profession is not the first concern for me, as long as I can research on something I’m interested in.|
|Pengyuan Zhou’s Publications|
|Prior to CleanSky:
Hu Siquan, Pengyuan Zhou, Wang Junfeng, ”The Inter-Datacenter Connection in SDN and Traditional Hybrid Network,” 2nd International Forum on Mechanical and Material Engineering, IFMME 2014Pengyuan Zhou, Bo Gu, Kyoko Yamori, Yoshiaki Tanaka, “User Oriented Demand-Side Management in Smart Grid,” 2015 IEICE Communications Society Conference.
Pengyuan Zhou, Jussi Kangasharju: “Profiling and Grouping Users to Edge Resources According to User Interest Similarity”, Proceedings of the 2016 Workshop on Cloud-Assisted Networking (CAN), co-located with ACM CoNext 2016.