Publication

SoftSKU: Optimizing Server Architectures for Microservice Diversity @Scale

International Symposium on Computer Architecture (ISCA)


Abstract

The variety and complexity of microservices in warehouse-scale data centers has grown precipitously over the last few years to support a growing user base and an evolving product portfolio. Despite accelerating microservice diversity, there is a strong requirement to limit diversity in underlying server hardware to maintain hardware resource fungibility, preserve procurement economies of scale, and curb qualification/test overheads. As such, there is an urgent need for strategies that enable limited server CPU architectures (a.k.a “SKUs”) to provide performance and energy efficiency over diverse microservices. 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.

Our characterization reveals profound diversity in OS and I/O interaction, cache misses, memory bandwidth utilization, instruction mix, and CPU stall behavior. Whereas customizing a CPU SKU for each microservice might be beneficial, it is prohibitive. Instead, we argue for “soft SKUs”, wherein we exploit coarse-grain (e.g., boot time) configuration knobs to tune the platform for a particular microservice. We develop a tool, µSKU, that automates search over a soft-SKU design space using A/B testing in production and demonstrate how it can obtain statistically significant gains (up to 7.2% and 4.5% performance improvement over stock and production servers, respectively) with no additional hardware requirements.

Related Publications

All Publications

Turbine: Facebook’s Service Management Platform for Stream Processing

Yuan Mei, Luwei Cheng, Vanish Talwar, Michael Y. Levin, Gabriela Jacques da Silva, Nikhil Simha, Anirban Banerjee, Brian Smith, Tim Williamson, Serhat Yilmaz, Weitao Duan, Guoqiang Jerry Chen

ICDE - April 21, 2020

WES: Agent-based User Interaction Simulation on Real Infrastructure

John Ahlgren, Maria Eugenia Berezin, Kinga Bojarczuk, Elena Dulskyte, Inna Dvortsova, Johann George, Natalija Gucevska, Mark Harman, Ralf Lämmel, Erik Meijer, Silvia Sapora, Justin Spahr-Summers

Genetic Improvement Workshop - April 29, 2020

Optimizing Interrupt Handling Performance for Memory Failures in Large Scale Data Centers

Harish Dattatraya Dixit, Fred Lin, Bill Holland, Matt Beadon, Zhengyu Yang, Sriram Sankar

ICPE - April 20, 2020

To help personalize content, tailor and measure ads, and provide a safer experience, we use cookies. By clicking or navigating the site, you agree to allow our collection of information on and off Facebook through cookies. Learn more, including about available controls: Cookies Policy