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Journal Articles
- 2023
[j1]Adithya Kumar
, Anand Sivasubramaniam, Timothy Zhu:
SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving. Proc. ACM Meas. Anal. Comput. Syst. 7(2): 30:1-30:26 (2023)
Conference and Workshop Papers
- 2024
- [c20]Rubaba Hasan, Timothy Zhu, Bhuvan Urgaonkar:
AutoBurst: Autoscaling Burstable Instances for Cost-effective Latency SLOs. SoCC 2024: 243-258 - [c19]Sultan Mahmud Sajal, Timothy Zhu, Bhuvan Urgaonkar, Siddhartha Sen:
TraceUpscaler: Upscaling Traces to Evaluate Systems at High Load. EuroSys 2024: 942-961 - 2023
- [c18]Sultan Mahmud Sajal, Luke Marshall, Beibin Li, Shandan Zhou, Abhisek Pan, Konstantina Mellou, Deepak Narayanan, Timothy Zhu, David Dion, Thomas Moscibroda, Ishai Menache:
Kerveros: Efficient and Scalable Cloud Admission Control. OSDI 2023: 227-245 - [c17]Adithya Kumar, Anand Sivasubramaniam, Timothy Zhu:
SplitRPC: A {Control + Data} Path Splitting RPC Stack for ML Inference Serving. SIGMETRICS (Abstracts) 2023: 13-14 - 2022
- [c16]Lexiang Huang, Matthew Magnusson, Abishek Bangalore Muralikrishna, Salman Estyak, Rebecca Isaacs, Abutalib Aghayev, Timothy Zhu, Aleksey Charapko:
Metastable Failures in the Wild. OSDI 2022: 73-90 - [c15]Adithya Kumar, Anand Sivasubramaniam, Timothy Zhu:
Overflowing emerging neural network inference tasks from the GPU to the CPU on heterogeneous servers. SYSTOR 2022: 26-39 - 2021
- [c14]Lexiang Huang, Timothy Zhu:
tprof: Performance profiling via structural aggregation and automated analysis of distributed systems traces. SoCC 2021: 76-91 - [c13]Sultan Mahmud Sajal, Rubaba Hasan, Timothy Zhu, Bhuvan Urgaonkar, Siddhartha Sen:
TraceSplitter: a new paradigm for downscaling traces. EuroSys 2021: 606-619 - [c12]Nathan Bronson, Abutalib Aghayev, Aleksey Charapko, Timothy Zhu:
Metastable failures in distributed systems. HotOS 2021: 221-227 - 2020
- [c11]Esmail Asyabi, Azer Bestavros, Erfan Sharafzadeh, Timothy Zhu:
Peafowl: in-application CPU scheduling to reduce power consumption of in-memory key-value stores. SoCC 2020: 150-164 - [c10]Adithya Kumar, Iyswarya Narayanan, Timothy Zhu, Anand Sivasubramaniam:
The Fast and The Frugal: Tail Latency Aware Provisioning for Coping with Load Variations. WWW 2020: 314-326 - 2019
- [c9]Ataollah Fatahi Baarzi, Timothy Zhu, Bhuvan Urgaonkar:
BurScale: Using Burstable Instances for Cost-Effective Autoscaling in the Public Cloud. SoCC 2019: 126-138 - 2018
- [c8]Daniel S. Berger, Benjamin Berg, Timothy Zhu, Siddhartha Sen, Mor Harchol-Balter:
RobinHood: Tail Latency Aware Caching - Dynamic Reallocation from Cache-Rich to Cache-Poor. OSDI 2018: 195-212 - 2017
- [c7]Timothy Zhu, Michael A. Kozuch, Mor Harchol-Balter:
WorkloadCompactor: reducing datacenter cost while providing tail latency SLO guarantees. SoCC 2017: 598-610 - 2016
- [c6]Timothy Zhu, Daniel S. Berger, Mor Harchol-Balter:
SNC-Meister: Admitting More Tenants with Tail Latency SLOs. SoCC 2016: 374-387 - [c5]Alexey Tumanov, Timothy Zhu, Jun Woo Park, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger:
TetriSched: global rescheduling with adaptive plan-ahead in dynamic heterogeneous clusters. EuroSys 2016: 35:1-35:16 - 2014
- [c4]Timothy Zhu, Alexey Tumanov, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger:
PriorityMeister: Tail Latency QoS for Shared Networked Storage. SoCC 2014: 29:1-29:14 - 2013
- [c3]Eno Thereska, Hitesh Ballani, Greg O'Shea, Thomas Karagiannis, Antony I. T. Rowstron, Tom Talpey, Richard Black, Timothy Zhu:
IOFlow: a software-defined storage architecture. SOSP 2013: 182-196 - 2012
- [c2]Timothy Zhu, Anshul Gandhi, Mor Harchol-Balter, Michael A. Kozuch:
Saving Cash by Using Less Cache. HotCloud 2012 - [c1]Anshul Gandhi, Timothy Zhu, Mor Harchol-Balter, Michael A. Kozuch:
SOFTScale: Stealing Opportunistically for Transient Scaling. Middleware 2012: 142-163
Informal and Other Publications
- 2024
- [i2]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:
Workload Intelligence: Punching Holes Through the Cloud Abstraction. CoRR abs/2404.19143 (2024) - [i1]Anjaly Parayil, Jue Zhang, Xiaoting Qin, Íñigo Goiri, Lexiang Huang, Timothy Zhu, Chetan Bansal:
Towards Cloud Efficiency with Large-scale Workload Characterization. CoRR abs/2405.07250 (2024)
Coauthor Index
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