About Cong Wang
Cong Wang is a senior network and systems researcher at RENCI, University of North Carolina at Chapel Hill. His research focuses on cloud computing, networking, and distributed systems. He obtained his PhD in department of Electrical and Computer Engineering at University of Massachusetts Amherst.
Publications involving Cong Wang
- Detecting Outliers in Network Transfers with Feature Extraction
- Toward Live Inter-Domain Network Services on the ExoGENI Testbed
- The Future of Multi-Clouds: a Survey of Essential Architectural Elements
- COMET: A Distributed Metadata Service for Federated Cloud Infrastructures
- Enabling Data Streaming-based Science Gateway through Federated Cyberinfrastructure
- Toward a Dynamic Network-centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing
- Training Classifiers to Identify TCP Signatures in Scientific Workflows
- COMET: Distributed Metadata Service for Multi-cloud Experiments
- DyNamo: Scalable Weather Workflow Processing in the Academic MultiCloud
- Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques
- An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing
- End-to-end online performance data capture and analysis for scientific workflows
- An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing
- Application Aware Software Defined Flows of Workflow Ensembles
- Mining Workflows for Anomalous Data Transfers
- Fair Sharing of Network Resources Among Workflow Ensembles
- Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus
- Graph Neural Network for Anomalies Detection in Scientific Workflows
- Towards Production Deployment of a SDX Control Framework
- Workflow Anomaly Detection with Graph Neural Networks
- Network Services Management using Programmable Data Planes for Visual Cloud Computing
- Dynamic Network-Centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows
- Experiments on Network Services for Video Transmission using FABRIC Instrument Resources
- Graph Neural Networks for Detecting Anomalies in Scientific Workflows
- FlyNet: Drones on the Horizon
- Flow-Bench: A Dataset for Computational Workflow Anomaly Detection
- Experimenting TCP Performance with Fabric
- Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links
Related Projects
- CAMP: Cloud Analysis and Measurement Platform
- Chameleon Cloud
- NSF CICI: Creating Dynamic Superfacilities the SAFE Way
- Panorama 360
- DyNamo: Delivering a Dynamic Network-Centric Platform for Data-Driven Science
- FlyNet: An ‘On-the-fly’ Deeply Programmable End-to-end Network-Centric Platform for Edge-to-Core Workflows
- AtlanticWave-SDX
- PosEiDon: Platform for Explainable Distributed Infrastructure
- SWARM: Scientific Workflow Applications on Resilient Metasystem