I am a postdoctoral researcher in the Department of Computer Science at ETH Zurich, where I am fortunate to work with Dr. Ana Klimović as part of the Systems Group.
My research interests span storage systems, cloud systems, and data-center applications. The goal of my research is to improve the performance and resource efficiency of large-scale distributed systems.
I completed my Ph.D. in the Computer Science Department at Emory University, advised by Dr. Ymir Vigfusson. My dissertation was on conducting data-driven performance modeling in complex networked systems.
If you're interested in my research or just want to chat, feel free to reach out (yazzhang@ethz.ch). I'm always happy to help and connect.
[NSDI] SIEVE is Simpler than LRU: an Efficient Turn-Key Eviction Algorithm for Web Caches
Yazhuo Zhang*, Juncheng Yang*, Yao Yue, Ymir Vigfusson, K. V. Rashmi.
21st USENIX Symposium on Networked Systems Design and Implementation (NSDI), 2024
[website][blog][pdf]
[SoCC] LatenSeer: Causal Modeling of End-to-End Latency Distributions by Harnessing Distributed Tracing
Yazhuo Zhang, Rebecca Isaacs, Yao Yue, Juncheng Yang, Lei Zhang, Ymir Vigfusson
14th ACM Symposium on Cloud Computing (SoCC), 2023
[pdf]
[code]
[SOSP] FIFO queues are all you need for cache eviction
Juncheng Yang, Yazhuo Zhang, Ziyue Qiu, Yao Yue, K. V. Rashmi.
The 29th ACM Symposium on Operating Systems Principles (SOSP), 2023
[website][blog][pdf][slides][video]
[HotOS] FIFO Can be Better than LRU: the
Power of Lazy
Promotion and Quick Demotion
Juncheng Yang, Ziyue Qiu, Yazhuo Zhang, Yao Yue, K. V. Rashmi.
The 19th Workshop on Hot Topics in Operating Systems (HotOS), 2023
[pdf][slides]
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