Zhuozhao Li

According to our database, Zhuozhao Li authored at least 47 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving.

Yifei Li, Ryan Chard, Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li

CoRR, 2024

2023

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning.

Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li

Proceedings of the 29th Symposium on Operating Systems Principles, 2023

2022

$f$funcX: Federated Function as a Service for Science.

Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard

IEEE Trans. Parallel Distributed Syst., 2022

A Study on the Impact of Memory DoS Attacks on Cloud Applications and Exploring Real-Time Detection Schemes.

Zhuozhao Li, Tanmoy Sen, Haiying Shen, Mooi Choo Chuah

IEEE/ACM Trans. Netw., 2022

Co-Scheduler: A Coflow-Aware Data-Parallel Job Scheduler in Hybrid Electrical/Optical Datacenter Networks.

Zhuozhao Li, Haiying Shen

IEEE/ACM Trans. Netw., 2022

High-Throughput Virtual Screening and Validation of a SARS-CoV-2 Main Protease Noncovalent Inhibitor.

Austin Clyde, Stephanie Galanie, Daniel W. Kneller, Heng Ma, Yadu N. Babuji, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Leighton Coates, Ian T. Foster, Darin Hauner, Vilmos Kertesz, Neeraj Kumar, Hyungro Lee, Zhuozhao Li, André Merzky, Jurgen G. Schmidt, Li Tan, Mikhail Titov, Anda Trifan, Matteo Turilli, Hubertus Van Dam, Srinivas C. Chennubhotla, Shantenu Jha, Andrey Kovalevsky, Arvind Ramanathan, Martha S. Head, Rick Stevens

J. Chem. Inf. Model., 2022

funcX: Federated Function as a Service for Science.

Zhuozhao Li, Ryan Chard, Yadu N. Babuji, Ben Galewsky, Tyler J. Skluzacek, Kirill Nagaitsev, Anna Woodard, Ben Blaiszik, Josh Bryan, Daniel S. Katz, Ian T. Foster, Kyle Chard

CoRR, 2022

Extended Abstract: Productive Parallel Programming with Parsl.

Kyle Chard, Yadu N. Babuji, Anna Woodard, Ben Clifford, Zhuozhao Li, Mihael Hategan, Ian T. Foster, Mike Wilde, Daniel S. Katz

CoRR, 2022

HiPS2022: The 2nd Workshop on High Performance Serverless Computing.

Yadu N. Babuji, Kyle Chard, Ian T. Foster, Zhuozhao Li

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021

DLHub: Simplifying publication, discovery, and use of machine learning models in science.

Zhuozhao Li, Ryan Chard, Logan T. Ward, Kyle Chard, Tyler J. Skluzacek, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster

J. Parallel Distributed Comput., 2021

Lightweight Function Monitors for Fine-Grained Management in Large Scale Python Applications.

Tim Shaffer, Zhuozhao Li, Ben Tovar, Yadu N. Babuji, T. J. Dasso, Zoe Surma, Kyle Chard, Ian T. Foster, Douglas Thain

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

Coding the Computing Continuum: Fluid Function Execution in Heterogeneous Computing Environments.

Rohan Kumar, Matt Baughman, Ryan Chard, Zhuozhao Li, Yadu N. Babuji, Ian T. Foster, Kyle Chard

Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

IMPECCABLE: Integrated Modeling PipelinE for COVID Cure by Assessing Better LEads.

Aymen Al Saadi, Dario Alfè, Yadu N. Babuji, Agastya Bhati, Ben Blaiszik, Alexander Brace, Thomas S. Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Peter V. Coveney, Ian T. Foster, Tom Gibbs, Shantenu Jha, Kristopher Keipert, Dieter Kranzlmüller, Thorsten Kurth, Hyungro Lee, Zhuozhao Li, Heng Ma, Gerald Mathias, André Merzky, Alexander Partin, Arvind Ramanathan, Ashka Shah, Abraham C. Stern, Rick Stevens, Li Tan, Mikhail Titov, Anda Trifan, Aristeidis Tsaris, Matteo Turilli, Huub J. J. Van Dam, Shunzhou Wan, David Wifling, Junqi Yin

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

A Serverless Framework for Distributed Bulk Metadata Extraction.

Tyler J. Skluzacek, Ryan Wong, Zhuozhao Li, Ryan Chard, Kyle Chard, Ian T. Foster

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

Federated Function as a Service for eScience.

Yadu N. Babuji, Josh Bryan, Ryan Chard, Kyle Chard, Ian T. Foster, Ben Galewsky, Daniel S. Katz, Zhuozhao Li

Proceedings of the 17th IEEE International Conference on eScience, 2021

2020

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release.

Yadu N. Babuji, Ben Blaiszik, Tom Brettin, Kyle Chard, Ryan Chard, Austin Clyde, Ian T. Foster, Zhi Hong, Shantenu Jha, Zhuozhao Li, Xuefeng Liu, Arvind Ramanathan, Yi Ren, Nicholaus Saint, Marcus Schwarting, Rick Stevens, Hubertus Van Dam, Rick Wagner

CoRR, 2020

Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes.

Zhuozhao Li, Tanmoy Sen, Haiying Shen, Mooi Choo Chuah

Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

funcX: A Federated Function Serving Fabric for Science.

Ryan Chard, Yadu N. Babuji, Zhuozhao Li, Tyler J. Skluzacek, Anna Woodard, Ben Blaiszik, Ian T. Foster, Kyle Chard

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Time-Efficient Geo-Obfuscation to Protect Worker Location Privacy over Road Networks in Spatial Crowdsourcing.

Chenxi Qiu, Anna Cinzia Squicciarini, Zhuozhao Li, Ce Pang, Li Yan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Serverless Supercomputing: High Performance Function as a Service for Science.

Ryan Chard, Tyler J. Skluzacek, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Ben Blaiszik, Steven Tuecke, Ian T. Foster, Kyle Chard

CoRR, 2019

Publishing and Serving Machine Learning Models with DLHub.

Ryan Chard, Logan T. Ward, Zhuozhao Li, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Kyle Chard, Ben Blaiszik, Ian T. Foster

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Scalable Parallel Programming in Python with Parsl.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Serverless Workflows for Indexing Large Scientific Data.

Tyler J. Skluzacek, Ryan Chard, Ryan Wong, Zhuozhao Li, Yadu N. Babuji, Logan T. Ward, Ben Blaiszik, Kyle Chard, Ian T. Foster

Proceedings of the 5th International Workshop on Serverless Computing, 2019

DLHub: Model and Data Serving for Science.

Ryan Chard, Zhuozhao Li, Kyle Chard, Logan T. Ward, Yadu N. Babuji, Anna Woodard, Steven Tuecke, Ben Blaiszik, Michael J. Franklin, Ian T. Foster

Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

JobPacker: Job Scheduling for Data-Parallel Frameworks with Hybrid Electrical/Optical Datacenter Networks.

Zhuozhao Li, Haiying Shen

Proceedings of the 48th International Conference on Parallel Processing, 2019

Co-scheduler: Accelerating Data-Parallel Jobs in Datacenter Networks with Optical Circuit Switching.

Zhuozhao Li, Haiying Shen

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Road Gradient Estimation Using Smartphones: Towards Accurate Estimation on Fuel Consumption and Air Pollution Emission on Roads.

Liuwang Kang, Haiying Shen, Zhuozhao Li

Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

Accelerating Big Data Analytics Using Scale-Up/Out Heterogeneous Clusters.

Zhuozhao Li, Haiying Shen, Lee Ward

Proceedings of the 28th International Conference on Computer Communication and Networks, 2019

Parsl: Pervasive Parallel Programming in Python.

Yadu N. Babuji, Anna Woodard, Zhuozhao Li, Daniel S. Katz, Ben Clifford, Rohan Kumar, Lukasz Lacinski, Ryan Chard, Justin M. Wozniak, Ian T. Foster, Michael Wilde, Kyle Chard

Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019

ParaOpt: Automated Application Parameterization and Optimization for the Cloud.

Chaofeng Wu, Ian T. Foster, Ted Summer, Zhuozhao Li, Anna Woodard, Ryan Chard, Matt Baughman, Yadu N. Babuji, Kyle Chard, Jason Pitt

Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

2018

Analysis of Knowledge Sharing Activities on a Social Network Incorporated Discussion Forum: A Case Study of DISboards.

Zhuozhao Li, Harrison Chandler, Haiying Shen

IEEE Trans. Big Data, 2018

Employing Opportunistic Charging for Electric Taxicabs to Reduce Idle Time.

Li Yan, Haiying Shen, Zhuozhao Li, Ankur Sarker, John A. Stankovic, Chenxi Qiu, Juanjuan Zhao, Cheng-Zhong Xu

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018

Approaches for Resilience against Cascading Failures in Cloud Datacenters.

Haoyu Wang, Haiying Shen, Zhuozhao Li

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

PageRankVM: A PageRank Based Algorithm with Anti-Collocation Constraints for Virtual Machine Placement in Cloud Datacenters.

Zhuozhao Li, Haiying Shen, Cole Miles

Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

A Network-Aware Scheduler in Data-Parallel Clusters for High Performance.

Zhuozhao Li, Haiying Shen, Ankur Sarker

Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

2017

An Exploration of Designing a Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements.

Zhuozhao Li, Haiying Shen, Walter B. Ligon III, Jeffrey Denton

IEEE Trans. Parallel Distributed Syst., 2017

Measuring Scale-Up and Scale-Out Hadoop with Remote and Local File Systems and Selecting the Best Platform.

Zhuozhao Li, Haiying Shen

IEEE Trans. Parallel Distributed Syst., 2017

Opportunistic Energy Sharing Between Power Grid and Electric Vehicles: A Game Theory-Based Pricing Policy.

Ankur Sarker, Zhuozhao Li, William Kolodzey, Haiying Shen

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Job scheduling for data-parallel frameworks with hybrid electrical/optical datacenter networks.

Zhuozhao Li, Haiying Shen

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

New Bandwidth Sharing and Pricing Policies to Achieve a Win-Win Situation for Cloud Provider and Tenants.

Haiying Shen, Zhuozhao Li

IEEE Trans. Parallel Distributed Syst., 2016

Learning Network Graph of SIR Epidemic Cascades Using Minimal Hitting Set Based Approach.

Zhuozhao Li, Haiying Shen, Kang Chen

Proceedings of the 25th International Conference on Computer Communication and Networks, 2016

Goodbye to Fixed Bandwidth Reservation: Job Scheduling with Elastic Bandwidth Reservation in Clouds.

Haiying Shen, Lei Yu, Liuhua Chen, Zhuozhao Li

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

Game Theory-Based Nonlinear Bandwidth Pricing for Congestion Control in Cloud Networks.

Abouzar Ghavami, Zhuozhao Li, Haiying Shen

Proceedings of the 2016 IEEE International Conference on Cloud Computing Technology and Science, 2016

Comparing application performance on HPC-based Hadoop platforms with local storage and dedicated storage.

Zhuozhao Li, Haiying Shen, Jeffrey Denton, Walter B. Ligon III

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

Performance Measurement on Scale-Up and Scale-Out Hadoop with Remote and Local File Systems.

Zhuozhao Li, Haiying Shen

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

On-Demand Bandwidth Pricing for Congestion Control in Core Switches in Cloud Networks.

Abouzar Ghavami, Zhuozhao Li, Haiying Shen

Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015

Designing a Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements for High Application Performance.

Zhuozhao Li, Haiying Shen

Proceedings of the 44th International Conference on Parallel Processing, 2015