Timothy Zhu

28 papers A* 5A 6B 2Misc 1Journal 5Unranked 9
YearRankTypeTitle / Venue / Authors
2025 B conf
Towards Workload-aware Cloud Efficiency: A Large-scale Empirical Study of Cloud Workload Characteristics.
ICPE
Anjaly Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Lexiang Huang, Timothy Zhu, Chetan Bansal
2025 J jnl
TraceScaler: A Framework for Scaling Load in Real-World Traces for System Evaluation.
ACM Trans. Comput. Syst.
Sultan Mahmud Sajal, Salman Estyak, Rubaba Hasan, Timothy Zhu, Bhuvan Urgaonkar, Siddhartha Sen
2025 J jnl
Where Is My Data?
Commun. ACM
Timothy Zhu
2025 A conf
Workload Intelligence: Workload-Aware IaaS abstraction for Cloud Efficiency.
SC
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, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
2024 — conf
AutoBurst: Autoscaling Burstable Instances for Cost-effective Latency SLOs.
SoCC
Rubaba Hasan, Timothy Zhu, Bhuvan Urgaonkar
2024 B conf
Fast and Accurate DNN Performance Estimation across Diverse Hardware Platforms.
MASCOTS
Vishwas Vasudeva Kakrannaya, Siddhartha Balakrishna Rai, Anand Sivasubramaniam, Timothy Zhu
2024 J jnl
Towards Cloud Efficiency with Large-scale Workload Characterization.
CoRR
Anjaly Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Lexiang Huang, Timothy Zhu, Chetan Bansal
2024 A conf
TraceUpscaler: Upscaling Traces to Evaluate Systems at High Load.
EuroSys
Sultan Mahmud Sajal, Timothy Zhu, Bhuvan Urgaonkar, Siddhartha Sen
2024 J jnl
Workload Intelligence: Punching Holes Through the Cloud Abstraction.
CoRR
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, Jim Kleewein, Rodrigo Fonseca, Timothy Zhu, Ricardo Bianchini
2023 A* conf
Kerveros: Efficient and Scalable Cloud Admission Control.
OSDI
Sultan Mahmud Sajal, Luke Marshall, Beibin Li, Shandan Zhou, Abhisek Pan, Konstantina Mellou, Deepak Narayanan, Timothy Zhu, David Dion, Thomas Moscibroda, Ishai Menache
2023 — conf
SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving.
SIGMETRICS (Abstracts)
Adithya Kumar, Anand Sivasubramaniam, Timothy Zhu
2023 J jnl
SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving.
Proc. ACM Meas. Anal. Comput. Syst.
Adithya Kumar, Anand Sivasubramaniam, Timothy Zhu
2022 A* conf
Metastable Failures in the Wild.
OSDI
Lexiang Huang, Matthew Magnusson, Abishek Bangalore Muralikrishna, Salman Estyak, Rebecca Isaacs, Abutalib Aghayev, Timothy Zhu, Aleksey Charapko
2022 Misc conf
Overflowing emerging neural network inference tasks from the GPU to the CPU on heterogeneous servers.
SYSTOR
Adithya Kumar, Anand Sivasubramaniam, Timothy Zhu
2021 A conf
Metastable failures in distributed systems.
HotOS
Nathan Bronson, Abutalib Aghayev, Aleksey Charapko, Timothy Zhu
2021 A conf
TraceSplitter: a new paradigm for downscaling traces.
EuroSys
Sultan Mahmud Sajal, Rubaba Hasan, Timothy Zhu, Bhuvan Urgaonkar, Siddhartha Sen
2021 — conf
tprof: Performance profiling via structural aggregation and automated analysis of distributed systems traces.
SoCC
Lexiang Huang, Timothy Zhu
2020 — conf
Peafowl: in-application CPU scheduling to reduce power consumption of in-memory key-value stores.
SoCC
Esmail Asyabi, Azer Bestavros, Erfan Sharafzadeh, Timothy Zhu
2020 A* conf
The Fast and The Frugal: Tail Latency Aware Provisioning for Coping with Load Variations.
WWW
Adithya Kumar, Iyswarya Narayanan, Timothy Zhu, Anand Sivasubramaniam
2019 — conf
BurScale: Using Burstable Instances for Cost-Effective Autoscaling in the Public Cloud.
SoCC
Ataollah Fatahi Baarzi, Timothy Zhu, Bhuvan Urgaonkar
2018 A* conf
RobinHood: Tail Latency Aware Caching - Dynamic Reallocation from Cache-Rich to Cache-Poor.
OSDI
Daniel S. Berger, Benjamin Berg, Timothy Zhu, Siddhartha Sen, Mor Harchol-Balter
2017 — conf
WorkloadCompactor: reducing datacenter cost while providing tail latency SLO guarantees.
SoCC
Timothy Zhu, Michael A. Kozuch, Mor Harchol-Balter
2016 — conf
SNC-Meister: Admitting More Tenants with Tail Latency SLOs.
SoCC
Timothy Zhu, Daniel S. Berger, Mor Harchol-Balter
2016 A conf
TetriSched: global rescheduling with adaptive plan-ahead in dynamic heterogeneous clusters.
EuroSys
Alexey Tumanov, Timothy Zhu, Jun Woo Park, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger
2014 — conf
PriorityMeister: Tail Latency QoS for Shared Networked Storage.
SoCC
Timothy Zhu, Alexey Tumanov, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger
2013 A* conf
IOFlow: a software-defined storage architecture.
SOSP
Eno Thereska, Hitesh Ballani, Greg O'Shea, Thomas Karagiannis, Antony I. T. Rowstron, Tom Talpey, Richard Black, Timothy Zhu
2012 A conf
SOFTScale: Stealing Opportunistically for Transient Scaling.
Middleware
Anshul Gandhi, Timothy Zhu, Mor Harchol-Balter, Michael A. Kozuch
2012 — conf
Saving Cash by Using Less Cache.
HotCloud
Timothy Zhu, Anshul Gandhi, Mor Harchol-Balter, Michael A. Kozuch