Scheduling workflow applications in GrADS. - Anirban Mandal; Anshuman Dasgupta; Ken Kennedy; Mark Mazina; Charles Koelbel; Gabriel Marin; Keith D. Cooper; John M. Mellor-Crummey; Bo Liu; S. Lennart Johnsson (CCGRID, 2004)

Task scheduling strategies for workflow-based applications in grids. - James Blythe; S. Jain; Ewa Deelman; Yolanda Gil; Karan Vahi; Anirban Mandal; Ken Kennedy (CCGRID, 2005)

Scheduling strategies for mapping application workflows onto the grid. - Anirban Mandal; Ken Kennedy; Charles Koelbel; Gabriel Marin; John M. Mellor-Crummey; Bo Liu; S. Lennart Johnsson (HPDC, 2005)

New Grid Scheduling and Rescheduling Methods in the GrADS Project. - Francine Berman; Henri Casanova; Andrew A. Chien; Keith D. Cooper; Holly Dail; Anshuman Dasgupta; W. Deng; Jack J. Dongarra; S. Lennart Johnsson; Ken Kennedy; Charles Koelbel; Bo Liu; et al. (Int. J. Parallel Program., 2005)

Scalable Grid Application Scheduling via Decoupled Resource Selection and Scheduling. - Yang Zhang; Anirban Mandal; Henri Casanova; Andrew A. Chien; Yang-Suk Kee; Ken Kennedy; Charles Koelbel (CCGRID, 2006)

Challenges of Scale: When All Computing Becomes Grid Computing. - Robert J. Fowler; Todd Gamblin; Gopi Kandaswamy; Anirban Mandal; Allan Porterfield; Lavanya Ramakrishnan; Daniel A. Reed (High Performance Computing Workshop, 2006)

Grid scheduling and protocols - Evaluation of a workflow scheduler using integrated performance modelling and batch queue wait time prediction. - Daniel Nurmi; Anirban Mandal; John Brevik; Chuck Koelbel; Richard Wolski; Ken Kennedy (SC, 2006)

Fault Tolerance and Recovery of Scientific Workflows on Computational Grids. - Gopi Kandaswamy; Anirban Mandal; Daniel A. Reed (CCGRID, 2008)

Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids. - Yang Zhang; Anirban Mandal; Charles Koelbel; Keith D. Cooper (CCGRID, 2009)

VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance. - Lavanya Ramakrishnan; Charles Koelbel; Yang-Suk Kee; Richard Wolski; Daniel Nurmi; Dennis Gannon; Graziano Obertelli; Asim YarKhan; Anirban Mandal; T. Mark Huang; Kiran Thyagaraja; Dmitrii Zagorodnov (SC, 2009)

Modeling memory concurrency for multi-socket multi-core systems. - Anirban Mandal; Rob Fowler; Allan Porterfield (ISPASS, 2010)

Embedding virtual topologies in networked clouds. - Yufeng Xin; Ilia Baldine; Anirban Mandal; Chris Heermann; Jeffrey S. Chase; Aydan R. Yumerefendi (CFI, 2011)

Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications. - Anirban Mandal; Yufeng Xin; Ilia Baldine; Paul Ruth; Chris Heermann; Jeffrey S. Chase; Victor Orlikowski; Aydan R. Yumerefendi (CloudCom, 2011)

Dynamic network provisioning for data intensive applications in the cloud. - Paul Ruth; Anirban Mandal; Yufeng Xin; Ilia Baldine; Chris Heermann; Jeffrey S. Chase (eScience, 2012)

ExoGENI: A Multi-domain Infrastructure-as-a-Service Testbed. - Ilia Baldine; Yufeng Xin; Anirban Mandal; Paul Ruth; Chris Heermann; Jeffrey S. Chase (TRIDENTCOM, 2012)

SMART-HexBot: a Simulation, Modeling, Analysis and Research Tool for Hexapod Robot in Virtual Reality and Simulink. - Ranjit Kumar Barai; Pankaj Saha; Anirban Mandal (AIR, 2013)

Evaluating I/O aware network management for scientific workflows on networked clouds. - Anirban Mandal; Paul Ruth; Ilya Baldin; Yufeng Xin; Claris Castillo; Mats Rynge; Ewa Deelman (NDM@SC, 2013)

Leveraging and Adapting ExoGENI Infrastructure for Data-Driven Domain Science Workflows. - Anirban Mandal; Paul Ruth; Ilya Baldin; Yufeng Xin; Claris Castillo; Mats Rynge; Ewa Deelman (GREE, 2014)

Domain Science Applications on GENI: Presentation and Demo. - Paul Ruth; Anirban Mandal (ICNP, 2014)

Capacity of inter-cloud layer-2 virtual networking. - Yufeng Xin; Ilya Baldin; Chris Heermann; Anirban Mandal; Paul Ruth (DCC@SIGCOMM, 2014)

Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service. - Yufeng Xin; Ilya Baldin; Chris Heermann; Anirban Mandal; Paul Ruth (ITC, 2014)

Enabling persistent queries for cross-aggregate performance monitoring. - Anirban Mandal; Ilya Baldin; Yufeng Xin; Paul Ruth; Chris Heermann (IEEE Commun. Mag., 2014)

Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms. - Paul Ruth; Anirban Mandal; Claris Castillo; Robert J. Fowler; Jeffrey L. Tilson; Ilya Baldin; Yufeng Xin (ScienceCloud@HPDC, 2015)

Enabling workflow repeatability with virtualization support. - Fan Jiang; Claris Castillo; Charles Schmitt; Anirban Mandal; Paul Ruth; Ilya Baldin (WORKS@SC, 2015)

Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection. - Anirban Mandal; Paul Ruth; Ilya Baldin; Yufeng Xin; Claris Castillo; Gideon Juve; Mats Rynge; Ewa Deelman; Jeffrey S. Chase (UCC, 2015)

ExoGENI: A Multi-Domain Infrastructure-as-a-Service Testbed. - Ilya Baldin; Jeffrey S. Chase; Yufeng Xin; Anirban Mandal; Paul Ruth; Claris Castillo; Victor Orlikowski; Chris Heermann; Jonathan Mills (The GENI Book, 2016)

Anomaly detection for scientific workflow applications on networked clouds. - Prathamesh Gaikwad; Anirban Mandal; Paul Ruth; Gideon Juve; Dariusz Król 002; Ewa Deelman (HPCS, 2016)

Toward an End-to-End Framework for Modeling, Monitoring and Anomaly Detection for Scientific Workflows. - Anirban Mandal; Paul Ruth; Ilya Baldin; Dariusz Król 002; Gideon Juve; Rajiv Mayani; Rafael Ferreira da Silva; Ewa Deelman; Jeremy S. Meredith; Jeffrey S. Vetter; Vickie E. Lynch; Benjamin Mayer; et al. (IPDPS Workshops, 2016)

Towards an Experimental LegoLand: Slice Modification and Recovery in ExoGENI Testbed. - Yufeng Xin; Ilya Baldin; Anirban Mandal; Paul Ruth; Jeffrey S. Chase (TRIDENTCOM, 2016)

Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges. - Anirban Mandal; Paul Ruth; Ilya Baldin; Rafael Ferreira da Silva; Ewa Deelman (eScience, 2017)

Slice-based network transit service: Inter-domain L2 networking on ExoGENI. - Yuanjun Yao; Qiang Cao 005; Jeffrey S. Chase; Paul Ruth; Ilya Baldin; Yufeng Xin; Anirban Mandal (INFOCOM Workshops, 2017)

PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows. - Ewa Deelman; Christopher D. Carothers; Anirban Mandal; Brian Tierney; Jeffrey S. Vetter; Ilya Baldin; Claris Castillo; Gideon Juve; Dariusz Król 002; Vickie E. Lynch; Benjamin Mayer; Jeremy S. Meredith; et al. (Int. J. High Perform. Comput. Appl., 2017)

Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure. - Ewa Deelman; Ryan Mitchell; Loïc Pottier; Mats Rynge; Erik Scott; Karan Vahi; Marina Kogan; Jasmine Mann; Tom Gulbransen; Daniel Allen; David Barlow; Anirban Mandal; et al. (eScience, 2019)

Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing. - Eric Lyons 001; Anirban Mandal; George Papadimitriou 002; Cong Wang 014; Komal Thareja; Paul Ruth; Juan J. Villalobos; Ivan Rodero; Ewa Deelman; Michael Zink (eScience, 2019)

Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows. - Karan Vahi; Michael Zink; Mats Rynge; George Papadimitriou 002; Duncan A. Brown; Rajiv Mayani; Rafael Ferreira da Silva; Ewa Deelman; Anirban Mandal; Eric Lyons 001 (eScience, 2019)

COMET: Distributed Metadata Service for Multi-cloud Experiments. - Komal Thareja; Cong Wang 014; Paul Ruth; Anirban Mandal; Ilya Baldin; Michael J. Stealey (ICNP, 2019)

Training Classifiers to Identify TCP Signatures in Scientific Workflows. - George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman (INDIS@SC, 2019)

Integrity Protection for Scientific Workflow Data: Motivation and Initial Experiences. - Mats Rynge; Karan Vahi; Ewa Deelman; Anirban Mandal; Ilya Baldin; Omkar Bhide; Randy W. Heiland; Von Welch; Raquel Hill; William L. Poehlman; F. Alex Feltus (PEARC, 2019)

The role of machine learning in scientific workflows. - Ewa Deelman; Anirban Mandal; Ming Jiang 005; Rizos Sakellariou (Int. J. High Perform. Comput. Appl., 2019)

An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. - Eric Lyons 001; David Westbrook; Andrew Grote; George Papadimitriou 002; Komal Thareja; Cong Wang 014; Michael Zink; Ewa Deelman; Anirban Mandal; Paul Ruth (DDDAS, 2020)

Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. - Cong Wang 014; George Papadimitriou 002; Mariam Kiran; Anirban Mandal; Ewa Deelman (HPEC, 2020)

Application Aware Software Defined Flows of Workflow Ensembles. - George Papadimitriou 002; Eric Lyons 001; Cong Wang 014; Komal Thareja; Ryan Tanaka; Paul Ruth; Juan J. Villalobos; Ivan Rodero; Ewa Deelman; Michael Zink; Anirban Mandal (INDIS@SC, 2020)

Toward a Data Lifecycle Model for NSF Large Facilities. - Laura Christopherson; Anirban Mandal; Erik Scott; Ilya Baldin (PEARC, 2020)

Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP. - Mariam Kiran; Cong Wang 014; George Papadimitriou 002; Anirban Mandal; Ewa Deelman (Mach. Learn., 2020)

WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows. - Bing Xie; Qiang Cao 005; Mayuresh Kunjir; Linli Wan; Jeffrey S. Chase; Anirban Mandal; Mats Rynge (CLUSTER, 2021)

Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. - Eric Lyons 001; Dong-Jun Seo; Sunghee Kim; Hamideh Habibi; George Papadimitriou 002; Ryan Tanaka; Ewa Deelman; Michael Zink; Anirban Mandal (e-Science, 2021)

Root Cause Analysis of Data Integrity Errors in Networked Systems with Incomplete Information. - Yufeng Xin; Shih-Wen Fu; Anirban Mandal; Ilya Baldin; Ryan Tanaka; Mats Rynge; Karan Vahi; Ewa Deelman; Ishan Abhinit; Von Welch (ICTC, 2021)

Mining Workflows for Anomalous Data Transfers. - Huy Tu; George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman; Tim Menzies (MSR, 2021)

FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications. - Eric Lyons 001; Hakan Saplakoglu; Michael Zink; Komal Thareja; Anirban Mandal; Chengyi Qu; Songjie Wang; Prasad Calyam; George Papadimitriou 002; Ryan Tanaka; Ewa Deelman (UCC, 2021)

A Performance Characterization of Scientific Machine Learning Workflows. - Patrycja Krawczuk; George Papadimitriou 002; Ryan Tanaka; Tu Mai Anh Do; Srujana Subramanya; Shubham Nagarkar; Aditi Jain; Kelsie Lam; Anirban Mandal; Loïc Pottier; Ewa Deelman (WORKS, 2021)

Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. - Patrycja Krawczuk; George Papadimitriou 002; Shubham Nagarkar; Mariam Kiran; Anirban Mandal; Ewa Deelman (PEARC, 2021)

Blueprint: Cyberinfrastructure Center of Excellence. - Ewa Deelman; Anirban Mandal; Angela P. Murillo; Jarek Nabrzyski; Valerio Pascucci; Robert Ricci; Ilya Baldin; Susan Sons; Laura Christopherson; Charles Vardeman; Rafael Ferreira da Silva; Jane Wyngaard; et al. (CoRR, 2021)

Mining Scientific Workflows for Anomalous Data Transfers. - Huy Tu; George Papadimitriou 002; Mariam Kiran; Cong Wang 014; Anirban Mandal; Ewa Deelman; Tim Menzies (CoRR, 2021)

Special issue on workflows in Support of Large-Scale Science. - Anirban Mandal; Raffaele Montella (Future Gener. Comput. Syst., 2021)

End-to-end online performance data capture and analysis for scientific workflows. - George Papadimitriou 002; Cong Wang 014; Karan Vahi; Rafael Ferreira da Silva; Anirban Mandal; Zhengchun Liu; Rajiv Mayani; Mats Rynge; Mariam Kiran; Vickie E. Lynch; Rajkumar Kettimuthu; Ewa Deelman; et al. (Future Gener. Comput. Syst., 2021)

Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. - Ryan Tanaka; George Papadimitriou 002; Sai Charan Viswanath; Cong Wang 014; Eric Lyons 001; Komal Thareja; Chengyi Qu; Alicia Esquivel Morel; Ewa Deelman; Anirban Mandal; Prasad Calyam; Michael Zink (CCGRID, 2022)

Data Integrity Error Localization in Networked Systems with Missing Data. - Yufeng Xin; Shih-Wen Fu; Anirban Mandal; Ryan Tanaka; Mats Rynge; Karan Vahi; Ewa Deelman (ICC, 2022)

Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. - Ishan Abhinit; Emily K. Adams; Khairul Alam; Brian Chase; Ewa Deelman; Lev Gorenstein; Stephen Hudson; Tanzima Z. Islam; Jeffrey Larson 001; Geoffrey Lentner; Anirban Mandal; John-Luke Navarro; et al. (WORKS@SC, 2022)

Workflow Anomaly Detection with Graph Neural Networks. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Patrycja Krawczuk; Loïc Pottier; Mariam Kiran; Ewa Deelman; Prasanna Balaprakash (WORKS@SC, 2022)

Fair sharing of network resources among workflow ensembles. - George Papadimitriou 002; Eric Lyons 001; Cong Wang 014; Komal Thareja; Ryan Tanaka; Paul Ruth; Ivan Rodero; Ewa Deelman; Michael Zink; Anirban Mandal (Clust. Comput., 2022)

FlyPaw: Optimized Route Planning for Scientific UAVMissions. - Andrew Grote; Eric Lyons 001; Komal Thareja; George Papadimitriou 002; Ewa Deelman; Anirban Mandal; Prasad Calyam; Michael Zink (e-Science, 2023)

Network Services Management using Programmable Data Planes for Visual Cloud Computing. - Alicia Esquivel Morel; Prasad Calyam; Chengyi Qu; Durbek Gafurov; Cong Wang 014; Komal Thareja; Anirban Mandal; Eric Lyons 001; Michael Zink; George Papadimitriou 002; Ewa Deelman (ICNC, 2023)

Experiments on Network Services for Video Transmission using FABRIC Instrument Resources. - Alicia Esquivel Morel; Durbek Gafurov; Prasad Calyam; Cong Wang 014; Komal Thareja; Anirban Mandal; Eric Lyons 001; Michael Zink; George Papadimitriou 002; Ewa Deelman (INFOCOM Workshops, 2023)

Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. - Jonathan Bader; Jim Belak; Matthew T. Bement; Matthew Berry; Robert Carson; Daniela Cassol; Stephen Chan; John Coleman; Kastan Day; Alejandro Duque; Kjiersten Fagnan; Jeff Froula; et al. (SC Workshops, 2023)

Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. - Imtiaz Mahmud; George Papadimitriou 002; Cong Wang 014; Mariam Kiran; Anirban Mandal; Ewa Deelman (SC Workshops, 2023)

Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals. - Angela P. Murillo; Don Brower; Sarowar Hossain; Kerk F. Kee; Anirban Mandal; Jarek Nabrzyski; Erik Scott; Nicole K. Virdone; Rodney Ewing; Ewa Deelman (PEARC, 2023)

Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. - George Papadimitriou 002; Hongwei Jin; Cong Wang 014; Krishnan Raghavan; Anirban Mandal; Prasanna Balaprakash; Ewa Deelman (CoRR, 2023)

Self-supervised Learning for Anomaly Detection in Computational Workflows. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Ewa Deelman; Prasanna Balaprakash (CoRR, 2023)

Assessment of Climate Change Impacts on the Precipitation and Temperature: A Case Study on Krishna River Basin. - Nandikanti Siva Sai Syam; Akshay Sunil; Subbarao Pichuka; Anirban Mandal (CoRR, 2023)

FlyNet: Drones on the Horizon. - Alicia Esquivel Morel; Chengyi Qu; Prasad Calyam; Cong Wang 014; Komal Thareja; Anirban Mandal; Eric Lyons 001; Michael Zink; George Papadimitriou 002; Ewa Deelman (IEEE Internet Comput., 2023)

Graph neural networks for detecting anomalies in scientific workflows. - Hongwei Jin; Krishnan Raghavan; George Papadimitriou 002; Cong Wang 014; Anirban Mandal; Mariam Kiran; Ewa Deelman; Prasanna Balaprakash (Int. J. High Perform. Comput. Appl., 2023)

DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure. - Imtiaz Mahmud; Pawel Zuk; Cong Wang 014; Mariam Kiran; Kesheng Wu; Komal Thareja; Krishnan Raghavan; Anirban Mandal; Ewa Deelman (IEEE Big Data, 2024)

(POSTER) Network Testbed for Experimenting With Decentralized Federated Learning. - Anirban Mandal; Komal Thareja; Paul Ruth (DCOSS-IoT, 2024)

Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. - Hongwei Jin; George Papadimitriou 002; Krishnan Raghavan; Pawel Zuk; Prasanna Balaprakash; Cong Wang 014; Anirban Mandal; Ewa Deelman (SC, 2024)

Advancing anomaly detection in computational workflows with active learning. - Krishnan Raghavan; George Papadimitriou 002; Hongwei Jin; Anirban Mandal; Mariam Kiran; Prasanna Balaprakash; Ewa Deelman (Future Gener. Comput. Syst., 2025)

Detecting weighted hidden cliques. - Urmisha Chatterjee; Karissa Huang; Ritabrata Karmakar; B. R. Vinay Kumar; Gábor Lugosi; Nandan Malhotra; Anirban Mandal; Maruf Alam Tarafdar (CoRR, 2025)