About Anirban Mandal
Anirban Mandal serves as the Interim Director for the network research and infrastructure group (NRIG) at Renaissance Computing Institute (RENCI) at University of North Carolina, Chapel Hill. He leads several efforts in cyberinfrastructure research in support of science. His research interests lie in the areas of distributed systems, cloud computing, networking, and data-driven scientific workflows. His research deals with resource provisioning, scheduling, performance analysis, machine learning, and anomaly detection for large scale scientific cyberinfrastructures, next generation networks and experimental testbeds. Prior to joining RENCI, he earned his PhD degree in Computer Science from Rice University in 2006 and a Bachelor’s degree in Computer Science & Engineering from IIT Mumbai, India in 2000.
Link to Anirban Mandal’s website
Publications involving Anirban Mandal
- 2022 Cyberinfrastructure for NSF Major Facilities Workshop Report
- Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms
- Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection
- An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing
- An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing
- Anomaly Detection for Scientific Workflow Applications on Networked Clouds
- Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks
- Application Aware Software Defined Flows of Workflow Ensembles
- Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus
- Autonomic Cloud Network Orchestration: A GENI Perspective
- Blueprint: Cyberinfrastructure Center of Excellence
- Capacity of Inter-Cloud Layer-2 Virtual Networking
- COMET: Distributed Metadata Service for Multi-cloud Experiments
- Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows
- Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure
- Detecting Anomalous Packets in Network Transfers: Investigations using PCA, Autoencoder and Isolation Forest in TCP
- Detecting Outliers in Network Transfers with Feature Extraction
- Domain Science Applications on GENI: Presentation and Demo
- Dynamic Network Provisioning for Data Intensive Applications in the Cloud
- DyNamo: Scalable Weather Workflow Processing in the Academic MultiCloud
- Embedding Virtual Topologies in Networked Clouds
- Enabling Data Streaming-based Science Gateway through Federated Cyberinfrastructure
- Enabling Persistent Queries for Cross-aggregate Performance Monitoring
- Enabling Workflow Repeatability with Virtualization Support
- End-to-end online performance data capture and analysis for scientific workflows
- Evaluating I/O Aware Network Management for Scientific Workflows on Networked Clouds
- ExoGENI: A Multi-Domain Infrastructure-as-a-Service Testbed
- Fair Sharing of Network Resources Among Workflow Ensembles
- FlyNet: A Platform to Support Scientific Workflows from the Edge to the Core for UAV Applications
- Graph Neural Network for Anomalies Detection in Scientific Workflows
- Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques
- Integrity Protection for Scientific Workflow Data: Motivation and Initial Experiences
- Leveraging and Adapting ExoGENI Infrastructure for Data-Driven Domain Science Workflows
- Mining Workflows for Anomalous Data Transfers
- PANORAMA: An Approach to Performance Modeling and Diagnosis of Extreme Scale Workflows
- Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing
- Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications
- Scaling up Applications Over Distributed Clouds with Dynamic Layer-2 Exchange and Broadcast Service
- Slice-based Network Transit Service: Inter-Domain L2 Networking on ExoGENI
- The GENI Book: ExoGENI: A Multi-Domain Infrastructure-as-a-Service Testbed
- The Role of Machine Learning in Scientific Workflows
- Toward a Data Lifecycle Model for NSF Large Facilities
- Toward a Dynamic Network-centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing
- Toward an End-to-end Framework for Modeling, Monitoring and Anomaly Detection for Scientific Workflows
- Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges
- Towards an Experimental LegoLand: Slice Modification and Recovery in ExoGENI Testbed
- Training Classifiers to Identify TCP Signatures in Scientific Workflows
- WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows
- Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows
- Modeling Data Integrity Threats for Scientific Workflows Using OSCRP and MITRE ATT&CK
- 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
- Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals
- FlyPaw: Optimized Route Planning for Scientific UAV Missions
- Experimenting TCP Performance with Fabric
- Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links
- (POSTER) Network Testbed for Experimenting With Decentralized Federated Learning
Related Projects
- CI Compass
- CICI: Secure and Resilient Architecture: Scientific Workflow Integrity with Pegasus (SWIP)
- DyNamo: Delivering a Dynamic Network-Centric Platform for Data-Driven Science
- ExoGENI Testbed
- FlyNet: An ‘On-the-fly’ Deeply Programmable End-to-end Network-Centric Platform for Edge-to-Core Workflows
- IRIS: Integrity Introspection for Scientific Workflows
- Panorama 360
- Pilot Study for a Cyberinfrastructure Center of Excellence (CiCoE Pilot)
- PosEiDon: Platform for Explainable Distributed Infrastructure
- Panorama
- RADII: Resource Aware Datacentric collaboratIve Infrastructure
- Missing Link: Connecting Campus Clouds with Multi-Layered Networks
- ADAMANT: Adaptive Data-Aware Multi-domain Application Network Topologies
- SWARM: Scientific Workflow Applications on Resilient Metasystem
- CyberInfrastructure Training and Education for Synchrotron X-Ray Science (X-CITE)