Best Paper at Green Computing Conference


Professor Adam Wierman, along with students Zhenhua Liu and Minghong Lin have received the Best Paper award at the IEEE Green Computing Conference for their paper "Online algorithms for geographical load balancing". The paper provides near-optimal algorithms that can cloud services to implement "follow the renewables" routing, and to take advantage of solar and wind energy.

Tags: CMS Adam Wierman Minghong Lin Zhenhua Liu

Geographical Load Balancing with Renewables


Professors Adam Wierman and Steven Low, along with CMS graduate students Zhenhua Liu and Minghong Lin have received the best paper award at the ACM GreenMetrics conference for their paper "Geographical Load Balancing with Renewables". The paper provides algorithms that can allow renewable energy to be efficiently used by geographically distributed data centers (such as those used by Google) in order to almost completely eliminate the usage of brown energy. [Read the Paper]

Tags: honors energy research highlights CMS Adam Wierman Steven Low Minghong Lin Zhenhua Liu