一句话：对 Facebook 计算优化数据中心中七大微服务进行 CPU 周期特征刻画，以识别全局服务器机群的加速机会。
随着 Dennard scaling 终结，仓库级数据中心中重要微服务随服务器代际更新带来的性能收益递减。为在全局服务器机群中寻找加速机会，必须理解这些微服务如何消耗 CPU 周期。本文首先对 Facebook 计算优化数据中心机群上运行的七大微服务开展全面特征刻画，分析其 CPU 周期使用情况，从而为后续加速方案提供依据。摘要未给出具体量化结果或加速实现。
At global user population scale, important microservices in warehouse-scale data centers can grow to account for an enormous installed base of servers. With the end of Dennard scaling, successive server generations running these microservices exhibit diminishing performance returns. Hence, it is imperative to understand how important microservices spend their CPU cycles to determine acceleration opportunities across the global server fleet. To this end, we first undertake a comprehensive characterization of the top seven microservices that run on the compute-optimized data center fleet at Facebook.
DOI 原文 ·
@inproceedings{paperbot5460,
title = {Accelerometer},
author = {Akshitha Sriraman and Abhishek Dhanotia},
booktitle = {ASPLOS},
year = {2020},
doi = {10.1145/3373376.3378450}
}