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.
            [SOSP] Unlocking True Elasticity for the Cloud-Native Era with Dandelion
            
            
            Tom Kuchler, Pinghe Li, Yazhuo Zhang, Lazar Cvetković, Boris Goranov, Tobias Stocker, Leon Thomm, Simone Kalbermatter, Tim Notter, Andrea Lattuada, Ana Klimovic
             To appear in SOSP'25 
            [code]
            
          
            [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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