TreehouseDatacenter energy consumption represents about 1% of worldwide electricity consumption. With demand for datacenter computing projected to double every few years, this is simply not sustainable without continued rapid improvements
in datacenter energy efficiency. Our vision in this proposal is to achieve a quantum leap in datacenter energy efficiency and resource utilization, by proposing Treehouse, a system architecture for balancing resource consumption and allowing developers to optimize for lower energy usage. The key design principle underlying Treehouse is to treat workloads and hardware resources in a fine-grained and fungible way. Importantly, Treehouse also provides developers the means to precisely estimate the energy usage of their applications and implement scheduling and hardware offloading policies that optimize for lower energy usage. PublicationsMemtrade: Marketplace for Disaggregated Memory on Clouds, Hasan Al Maruf, Yuhong Zhong, Hongyi Wang, Mosharaf Chowdhury, Asaf Cidon, Carl Waldspurger. SIGMETRICS 2023.
Treehouse: A Case For Carbon-Aware Datacenter Software, Thomas Anderson, Adam Belay, Mosharaf Chowdhury, Asaf Cidon, Irene Zhang. HotCarbon 2022. OutreachHotCarbon 2022: 1st Workshop on Sustainable Computer System Design and Implementation
TeamFaculty / senior researchers: Tom Anderson, Adam Belay, Mosharaf Chowdhury, Asaf Cidon, Irene Zhang.
PhD students: Yuhong Zhong MS students: Rahul Chaudhari, Rishabh Gupta TeachingFall 2021: class project in EECS 6897, distributed storage systems
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