Saving Cash by Using Less Cache. - Timothy Zhu; Anshul Gandhi; Mor Harchol-Balter; Michael A. Kozuch (HotCloud, 2012)

SOFTScale: Stealing Opportunistically for Transient Scaling. - Anshul Gandhi; Timothy Zhu; Mor Harchol-Balter; Michael A. Kozuch (Middleware, 2012)

IOFlow: a software-defined storage architecture. - Eno Thereska; Hitesh Ballani; Greg O'Shea; Thomas Karagiannis; Antony I. T. Rowstron; Tom Talpey; Richard Black; Timothy Zhu (SOSP, 2013)

PriorityMeister: Tail Latency QoS for Shared Networked Storage. - Timothy Zhu; Alexey Tumanov; Michael A. Kozuch; Mor Harchol-Balter; Gregory R. Ganger (SoCC, 2014)

SNC-Meister: Admitting More Tenants with Tail Latency SLOs. - Timothy Zhu; Daniel S. Berger; Mor Harchol-Balter (SoCC, 2016)

TetriSched: global rescheduling with adaptive plan-ahead in dynamic heterogeneous clusters. - Alexey Tumanov; Timothy Zhu; Jun Woo Park; Michael A. Kozuch; Mor Harchol-Balter; Gregory R. Ganger (EuroSys, 2016)

WorkloadCompactor: reducing datacenter cost while providing tail latency SLO guarantees. - Timothy Zhu; Michael A. Kozuch; Mor Harchol-Balter (SoCC, 2017)

RobinHood: Tail Latency Aware Caching - Dynamic Reallocation from Cache-Rich to Cache-Poor. - Daniel S. Berger; Benjamin Berg; Timothy Zhu; Siddhartha Sen 001; Mor Harchol-Balter (OSDI, 2018)

BurScale: Using Burstable Instances for Cost-Effective Autoscaling in the Public Cloud. - Ataollah Fatahi Baarzi; Timothy Zhu; Bhuvan Urgaonkar (SoCC, 2019)

Peafowl: in-application CPU scheduling to reduce power consumption of in-memory key-value stores. - Esmail Asyabi; Azer Bestavros; Erfan Sharafzadeh; Timothy Zhu (SoCC, 2020)

The Fast and The Frugal: Tail Latency Aware Provisioning for Coping with Load Variations. - Adithya Kumar; Iyswarya Narayanan; Timothy Zhu; Anand Sivasubramaniam (WWW, 2020)

tprof: Performance profiling via structural aggregation and automated analysis of distributed systems traces. - Lexiang Huang; Timothy Zhu (SoCC, 2021)

TraceSplitter: a new paradigm for downscaling traces. - Sultan Mahmud Sajal; Rubaba Hasan; Timothy Zhu; Bhuvan Urgaonkar; Siddhartha Sen 001 (EuroSys, 2021)

Metastable failures in distributed systems. - Nathan Bronson; Abutalib Aghayev; Aleksey Charapko; Timothy Zhu (HotOS, 2021)

Metastable Failures in the Wild. - Lexiang Huang; Matthew Magnusson; Abishek Bangalore Muralikrishna; Salman Estyak; Rebecca Isaacs; Abutalib Aghayev; Timothy Zhu; Aleksey Charapko (OSDI, 2022)

Overflowing emerging neural network inference tasks from the GPU to the CPU on heterogeneous servers. - Adithya Kumar; Anand Sivasubramaniam; Timothy Zhu (SYSTOR, 2022)

Kerveros: Efficient and Scalable Cloud Admission Control. - Sultan Mahmud Sajal; Luke Marshall; Beibin Li; Shandan Zhou; Abhisek Pan; Konstantina Mellou; Deepak Narayanan; Timothy Zhu; David Dion; Thomas Moscibroda; Ishai Menache (OSDI, 2023)

SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving. - Adithya Kumar; Anand Sivasubramaniam; Timothy Zhu (Proc. ACM Meas. Anal. Comput. Syst., 2023)

AutoBurst: Autoscaling Burstable Instances for Cost-effective Latency SLOs. - Rubaba Hasan; Timothy Zhu; Bhuvan Urgaonkar (SoCC, 2024)

TraceUpscaler: Upscaling Traces to Evaluate Systems at High Load. - Sultan Mahmud Sajal; Timothy Zhu; Bhuvan Urgaonkar; Siddhartha Sen 001 (EuroSys, 2024)

Fast and Accurate DNN Performance Estimation across Diverse Hardware Platforms. - Vishwas Vasudeva Kakrannaya; Siddhartha Balakrishna Rai; Anand Sivasubramaniam; Timothy Zhu (MASCOTS, 2024)

Workload Intelligence: Punching Holes Through the Cloud Abstraction. - Lexiang Huang; Anjaly Parayil; Jue Zhang; Xiaoting Qin; Chetan Bansal; Jovan Stojkovic; Pantea Zardoshti; Pulkit A. Misra; Eli Cortez; Raphael Ghelman; Íñigo Goiri; Saravan Rajmohan; et al. (CoRR, 2024)

Towards Cloud Efficiency with Large-scale Workload Characterization. - Anjaly Parayil; Jue Zhang; Xiaoting Qin; Íñigo Goiri; Lexiang Huang; Timothy Zhu; Chetan Bansal (CoRR, 2024)

Towards Workload-aware Cloud Efficiency: A Large-scale Empirical Study of Cloud Workload Characteristics. - Anjaly Parayil; Jue Zhang; Xiaoting Qin; Íñigo Goiri; Lexiang Huang; Timothy Zhu; Chetan Bansal (ICPE, 2025)