XRP: Using eBPF to Accelerate Storage Functions
With the rise of single-digit microsecond latency storage devices, the software of the OS storage stack is becoming the primary bottleneck when accessing fast storage devices. We are designing a new framework, XRP (eXpress Resubmission Path), that uses allows storage applications to bypass the OS storage stack when submitting storage requests. XRP can lead to ~2X better latency and 2-3X better throughput for common operations, like index lookups and aggregations.
PublicationsXRP: In-Kernel Storage Functions with eBPF, Yuhong Zhong, Haoyu Li, Yu Jian Wu, Ioannis Zarkadas, Jeffrey Tao, Evan Mesterhazy, Michael Makris, Junfeng Yang, Amy Tai, Ryan Stutsman, Asaf Cidon, Usenix OSDI 2022, Jay Lepreau Best Paper Award
BPF for Storage: An Exokernel-Inspired Approach, Yuhong Zhong*, Hongyi Wang*, Yu Jian Wu*, Asaf Cidon, Ryan Stutsman, Amy Tai, Junfeng Yang (* equal contribution), ACM HotOS 2021 ArtifactsTeamFaculty / senior researchers: Asaf Cidon, Ryan Stutsman, Amy Tai, Junfeng Yang
PhD students: Yuhong Zhong, Haoyu Li, Ioannis Zarkadas, Ashfaqur Rahaman MS students / undergrads: Tal Zussman, Evan Mesterhazy, Hongyi Wang, Michael Makris, Yu Jian Wu, Jeremy Carin TeachingSpring 2024: new class (EECS 6891) on eBPF and extensible operating systems
Fall 2021: class project in EECS 6897, distributed storage systems Fall 2020: class project in EECS 6897, distributed storage systems OutreachHosted Columbia/Amazon SURE fellow, Hailey Onweller, during summer of 2022
Kelly Kostopoulou, Sally Wang and Hailey Onweller
Funding |
|
|
|