Designing a Hybrid Scale-Up/Out Hadoop Architecture Based on Performance Measurements for High Application Performance. - Zhuozhao Li; Haiying Shen (ICPP, 2015)

On-Demand Bandwidth Pricing for Congestion Control in Core Switches in Cloud Networks. - Abouzar Ghavami; Zhuozhao Li; Haiying Shen (CLOUD, 2016)

Performance Measurement on Scale-Up and Scale-Out Hadoop with Remote and Local File Systems. - Zhuozhao Li; Haiying Shen (CLOUD, 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 (IEEE BigData, 2016)

Game Theory-Based Nonlinear Bandwidth Pricing for Congestion Control in Cloud Networks. - Abouzar Ghavami; Zhuozhao Li; Haiying Shen (CloudCom, 2016)

Goodbye to Fixed Bandwidth Reservation: Job Scheduling with Elastic Bandwidth Reservation in Clouds. - Haiying Shen; Lei Yu 002; Liuhua Chen; Zhuozhao Li (CloudCom, 2016)

Learning Network Graph of SIR Epidemic Cascades Using Minimal Hitting Set Based Approach. - Zhuozhao Li; Haiying Shen; Kang Chen (ICCCN, 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)

Job scheduling for data-parallel frameworks with hybrid electrical/optical datacenter networks. - Zhuozhao Li; Haiying Shen (SoCC, 2017)

Opportunistic Energy Sharing Between Power Grid and Electric Vehicles: A Game Theory-Based Pricing Policy. - Ankur Sarker; Zhuozhao Li; William Kolodzey; Haiying Shen (ICDCS, 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)

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)

A Network-Aware Scheduler in Data-Parallel Clusters for High Performance. - Zhuozhao Li; Haiying Shen; Ankur Sarker (CCGrid, 2018)

PageRankVM: A PageRank Based Algorithm with Anti-Collocation Constraints for Virtual Machine Placement in Cloud Datacenters. - Zhuozhao Li; Haiying Shen; Cole Miles (ICDCS, 2018)

Approaches for Resilience against Cascading Failures in Cloud Datacenters. - Haoyu Wang 003; Haiying Shen; Zhuozhao Li (ICDCS, 2018)

Employing Opportunistic Charging for Electric Taxicabs to Reduce Idle Time. - Li Yan 004; Haiying Shen; Zhuozhao Li; Ankur Sarker; John A. Stankovic; Chenxi Qiu; Juanjuan Zhao; Cheng-Zhong Xu 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 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)

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 (CloudCom, 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 (HPDC, 2019)

Accelerating Big Data Analytics Using Scale-Up/Out Heterogeneous Clusters. - Zhuozhao Li; Haiying Shen; Lee Ward (ICCCN, 2019)

Road Gradient Estimation Using Smartphones: Towards Accurate Estimation on Fuel Consumption and Air Pollution Emission on Roads. - Liuwang Kang; Haiying Shen; Zhuozhao Li (ICDCS, 2019)

Co-scheduler: Accelerating Data-Parallel Jobs in Datacenter Networks with Optical Circuit Switching. - Zhuozhao Li; Haiying Shen (ICDCS, 2019)

JobPacker: Job Scheduling for Data-Parallel Frameworks with Hybrid Electrical/Optical Datacenter Networks. - Zhuozhao Li; Haiying Shen (ICPP, 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 (IPDPS, 2019)

Serverless Workflows for Indexing Large Scientific Data. - Tyler J. Skluzacek; Ryan Chard; Ryan Wong 002; Zhuozhao Li; Yadu N. Babuji; Logan T. Ward; Ben Blaiszik; Kyle Chard; Ian T. Foster (WOSC@Middleware, 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 (PEARC, 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 (PEARC, 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)

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 004 (CIKM, 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 (HPDC, 2020)

Impact of Memory DoS Attacks on Cloud Applications and Real-Time Detection Schemes. - Zhuozhao Li; Tanmoy Sen; Haiying Shen; Mooi Choo Chuah (ICPP, 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; et al. (CoRR, 2020)

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 (e-Science, 2021)

A Serverless Framework for Distributed Bulk Metadata Extraction. - Tyler J. Skluzacek; Ryan Wong 002; Zhuozhao Li; Ryan Chard; Kyle Chard; Ian T. Foster (HPDC, 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; et al. (ICPP, 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 (IPDPS Workshops, 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 (IPDPS, 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)

HiPS2022: The 2nd Workshop on High Performance Serverless Computing. - Yadu N. Babuji; Kyle Chard; Ian T. Foster; Zhuozhao Li (HPDC, 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)

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)

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; et al. (J. Chem. Inf. Model., 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)

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)

$f$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)

gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. - Ping Gong 009; Renjie Liu 001; Zunyao Mao; Zhenkun Cai; Xiao Yan 002; Cheng Li 001; Minjie Wang; Zhuozhao Li (SOSP, 2023)

MIGER: Integrating Multi-Instance GPU and Multi-Process Service for Deep Learning Clusters. - Bowen Zhang; Shuxin Li; Zhuozhao Li (ICPP, 2024)

UniFaaS: Programming across Distributed Cyberinfrastructure with Federated Function Serving. - Yifei Li; Ryan Chard; Yadu N. Babuji; Kyle Chard; Ian T. Foster; Zhuozhao Li (IPDPS, 2024)

MAAD: A Distributed Anomaly Detection Architecture for Microservices Systems. - Rongyuan Tan; Zhuozhao Li (IPDPS, 2024)

P3 Forecast: Personalized Privacy-Preserving Cloud Workload Prediction Based on Federated Generative Adversarial Networks. - Yu Kuang; Li Yan 004; Zhuozhao Li (IPDPS, 2025)

EvoGP: A GPU-accelerated Framework for Tree-based Genetic Programming. - Lishuang Wang; Zhihong Wu; Kebin Sun; Zhuozhao Li; Ran Cheng (CoRR, 2025)

WRATH: Workload Resilience Across Task Hierarchies in Task-based Parallel Programming Frameworks. - Sicheng Zhou; Zhuozhao Li; Valérie Hayot-Sasson; Haochen Pan; Maxime Gonthier; J. Gregory Pauloski; Ryan Chard; Kyle Chard; Ian T. Foster (CoRR, 2025)