Anirban Mandal

Publications

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2026

  1. Complexity and Scale in AI-Assisted Workflow Management: A Federated Learning Case Study

    K. Thareja, H. Safri, R. Mayani, A. Mandal, and E. Deelman

    SC'26-W Proceedings of the 21st Workshop on Workflows in Support of Large-Scale Science (WORKS '26), Chicago, IL, November 2026 WorkshopTo appear

  2. Decentralized Scheduling of Scientific Workflows

    X. Casas Moreno, K. Thareja, A. Mandal, E. Deelman, R. Badia, and F. Lordan

    SC'26-W Proceedings of the 21st Workshop on Workflows in Support of Large-Scale Science (WORKS '26), Chicago, IL, November 2026 WorkshopTo appear

  3. RLSA: Adaptive LLM Gating for Multi-Agent HPC Scheduling Agents

    H. Jin, K. Raghavan, A. Mandal, and E. Deelman

    SC'26-W Proceedings of the 21st Workshop on Workflows in Support of Large-Scale Science (WORKS '26), Chicago, IL, November 2026 WorkshopTo appear

  4. SWARM+: Scalable and Resilient Multi-Agent Consensus for Decentralized Data-Aware Workload Management

    K. Thareja, K. Raghavan, H. Safri, A. Mandal, and E. Deelman

    22nd IEEE International Conference on eScience (eScience), Naples, Italy, September 2026 ConferenceTo appear

  5. AI-Assisted Computational Reproducibility on the FABRIC Testbed

    K. Thareja, P. Ruth, B. Aldikacti, A. Mandal, and M. Zink

    22nd IEEE International Conference on eScience (eScience), Naples, Italy, September 2026 ConferenceTo appear

  6. Kiso: A Foundation for Complex, Agentic, and Reproducible Experiments

    R. Mayani, K. Vahi, M. Rynge, K. Thareja, X. Casas-Moreno, H. Jin, A. Mandal, F. Lordan, K. Raghavan, R. M. Badia, and E. Deelman

    Frontier Complex Systems, 4:1800335. doi: 10.3389/fcpxs.2026.1800335, July 2026 JournalPaper

  7. AeroResQ: Edge-accelerated UAV framework for scalable, resilient and collaborative escape route planning in wildfire scenarios

    Suman Raj, Radhika Mittal, Rajiv Mayani, Pawel Zuk, Anirban Mandal, Michael Zink, Yogesh Simmhan, and Ewa Deelman

    Future Generation Computer Systems, Volume 183, 2026, 108579, ISSN 0167-739X, https://doi.org/10.1016/j.future.2026.108579, May 2026 JournalPaper

  8. From Sensors to Insight: Rapid, Edge-to-Core Application Development for Sensor-Driven Applications

    K. Thareja, A. Mandal, and E. Deelman

    POSTER Paper in 22nd IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2026), Reykjavik, Iceland, June 2026 PosterConferencePaper

  9. Decentralized Coordination of Autonomous Agents in the Compute Continuum Using Consensus

    Casas-Moreno X, Thareja K, de Juan Vela P, Mayani R, Fanals-i-Batllori J, Mandal A, Deelman E, Badia RM, and Lordan F

    Frontier Complex Systems, 4:1800101. doi: 10.3389/fcpxs.2026.1800101, April 2026 JournalPaper

  10. Validating TCP Behavior in DISTRI: A Comparison of Simulated and Real-World Network Performance for Distributed Computing

    I. Mahmud, K. Wu, A. Sim, A. Mandal, and E. Deelman

    2026 International Conference on Computing, Networking and Communications (ICNC), Feb 2026 ConferencePaper

  11. BBRv3 Startup Behavior: Analysis and Fairness Enhancements

    I. Mahmud, K. Wu, A. Sim, A. Mandal, and E. Deelman

    2026 International Conference on Computing, Networking and Communications (ICNC), 716-722. 10.1109/ICNC68183.2026.11416923. Feb 2026 ConferencePaper

2025

  1. Ship-to-Shore Network Monitoring: The Research Vessel Sikuliaq Experience

    K. Thareja, A. Mandal, J. Race, P. Ruth, C. Romsos, and E. Deelman

    IEEE Internet Computing, vol. 29, no. 4, pp. 77-84, doi: 10.1109/MIC.2025.3615849 Aug 2025 JournalPaper

  2. AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios

    S. Raj, R. Mittal, R. Mayani, P. Zuk, A. Mandal, M. Zink, Y. Simmhan, and E. Deelman

    arXiv, https://doi.org/10.48550/arXiv.2511.00038, Oct 2025 PreprintPaper

  3. CyberInfrastructure Training and Education for Synchrotron X-Ray Science (X-CITE)

    A. Mandal, M. Miller, E. Deelman, E. Scott, K. Vahi, W. Sun, P. Ko, K. Nygren, K. Soloway, R. Verberg, V. Kuznetsov, and B. Sorge

    Poster at 2025 NSF Cybertraining PI Meeting, Denver, CO, July 2025 PosterPaper

  4. 2025 U.S. NSF CI Compass Virtual Workshop Report - Data Management: From Instrument to First Storage

    Mandal, A., Bayer, F., Biffard, B., Bontempi, C., Butcher, D. S., Casey, R., Clark, C., Cox, D., Deelman, E., Glatstein, J., Habermann, T., Kee, K., Laney, C., Murillo, A., Nabrzyski, J., O’Mullane, W., Riedel, B., Rollins, J., Tawa, R., Virdone, N., & Zhang, Q.

    doi:10.5281/zenodo.15858297, July 20, 2025 ReportPaper

  5. A Greedy Consensus-based Approach to Distributed Job Selection: Toward Fully-decentralized Workload Management System

    K. Thareja, K. Raghavan, A. Mandal, P. Zuk, I. Mahmud, M. Kiran, and E. Deelman

    2025 25th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid'25), Tromso, Norway, May 2025 ConferencePaper

  6. SWARM: Reimagining Scientific Workflow Management Systems in a Distributed World

    P. Balaprakash, K. Raghavan, F. Cappello, E. Deelman, A. Mandal, H. Jin, I. Mahmud, K. Thareja, S. Wu, P. Zuk, M. Kiran, Z. Chen, S. Di, and K. Wu

    International Journal of High Performance Computing Applications (IJHPCA), 2025;39(5):692-712. doi:10.1177/10943420251339317, May 2025 JournalPaper

  7. Advancing Anomaly Detection in Computational Workflows with Active Learning

    K. Raghavan, G. Papadimitriou, H. Jin, A. Mandal, M. Kiran, P. Balaprakash, and E. Deelman

    Future Generation Computer Systems Journal, Volume 166, May 2025 JournalPaper

  8. Shaping the Future of Self-Driving Autonomous Laboratories Workshop

    R. Ferreira da Silva, R. G. Moore, B. Mintz, R. Advincula, A. Al Najjar, L. Baldwin, C. Bridges, R. Coffee, E. Deelman, C. Engelmann, B. D. Etz, M. Firestone, I. T. Foster, P. Ganesh, L. Hamilton, D. Huber, I. Ivanov, S. Jha, Y. Li, Y. Liu, J. Lofstead, A. Mandal, H. G. Martin, T. Mayer, M. McDonnell, V. Murugesan, S. Nimer, N. Rao, M. Seifrid, M. Taheri, M. Taufer, and K. D. Vogiatzis

    Technical Report, ORNL/TM-2024/3714, DOI: 10.5281/ZENODO.14588062, January 2025 ReportPaper

2024

  1. DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure

    I. Mahmud, P. Zuk, C. Wang, M. Kiran, K. Wu, K. Thareja, K. Raghavan, A. Mandal, and E. Deelman

    2024 IEEE International Conference on Big Data workshop: 5th International Workshop on Big Data & AI Tools, Models, and Use Cases for Innovative Scientific Discovery (BTSD) 2024, Washington, DC, December 2024 WorkshopPaper

  2. SWARM: Scientific Workflow Applications on Resilient Metasystem

    E. Deelman, P. Balaprakash, M. Kiran, A. Mandal, K. Raghavan, S. Di, F. Cappello, J. Wu, Z. Chen, S. Wu, H. Jin, C. Wang, I. Mahmud, K. Thareja, E. Scott, P. Zuk, and A. Hamade

    Poster in 2024 IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'24), Atlanta, GA, November 2024 PosterPaper

  3. Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning

    H. Jin, G. Papadimitriou, K. Raghavan, P. Zuk, P. Balaprakash, C. Wang, A. Mandal, and E. Deelman

    2024 IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'24), Atlanta, GA, November 2024 ConferencePaper

  4. CyberInfrastructure Training and Education for Synchrotron X-Ray Science (X-CITE)

    A. Mandal, M. Miller, E. Deelman, E. Scott, S. Sasidharan, K. Vahi, W. Sun, P. Ko, K. Nygren, K. Soloway, R. Verberg, and B. Sorge

    Poster at 2024 NSF Cybertraining PI Meeting, Charlotte, NC, August 2024 PosterPaper

  5. 2024 Cyberinfrastructure for U.S. NSF Major Facilities Workshop Report (1.0)

    I. Baldin, D. Brower, D. Butcher, R. Casey, C. Clark, E. Deelman, B. Flynn, M. Hasan, K. Kee, M. Livny, A. Mandal, A. Murillo, J. Nabrzyski, V. Pascucci, S. Petruzza, C. Romsos, D. Stanzione, K. Vahi, and N. Virdone

    Zenodo, June 2024 ReportPaper

  6. Network Testbed for Experimenting With Decentralized Federated Learning

    A. Mandal, K. Thareja, and P. Ruth

    POSTER Paper in 20th IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2024), Abu Dhabi, UAE, April 2024 PosterConferencePaper

2023

  1. Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links

    I. Mahmud, G. Papadimitriou, C. Wang, M. Kiran, A. Mandal, and E. Deelman

    2023 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS) Workshop at SC'23, doi: https://doi.org/10.1145/3624062.3624594, Denver, CO, Nov 2023 Workshop★ Best Paper Award, INDIS Workshop at SC'23Paper

  2. Experimenting TCP Performance with Fabric

    I. Mahmud, G. Papadimitriou, C. Wang, M. Kiran, A. Mandal, and E. Deelman

    2023 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS) Workshop at SC'23, Denver, CO, Nov 2023 WorkshopPaper

  3. FlyPaw: Optimized Route Planning for Scientific UAV Missions

    A. Grote, E. Lyons, K. Thareja, G. Papadimitriou, E. Deelman, A. Mandal, P. Calyam, and M. Zink

    19th IEEE International Conference on eScience (eScience), doi: 10.1109/e-Science58273.2023.10254831, Limassol, Cyprus, Oct 2023 ConferencePaper

  4. Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals

    A. P. Murillo, D. Brower, S. Hossain, K. Kee, A. Mandal, J. Nabrzyski, E. Scott, N. Virdone, R. Ewing, and E. Deelman

    Poster in Practice and Experience in Advanced Research Computing (PEARC 2023) Conference, Portland, OR, doi: 10.1145/3569951.3597567, July 2023 PosterPaper

  5. Flow-Bench: A Dataset for Computational Workflow Anomaly Detection

    G. Papadimitriou, H. Jin, C. Wang, K. Raghavan, A. Mandal, P. Balaprakash, E. Deelman

    arXiv preprint arXiv:2306.09930, June 2023 PreprintPaper

  6. FlyNet: Drones on the Horizon

    A. Morel, C. Qu, P. Calyam, C. Wang, K. Thareja, A. Mandal, E. Lyons, M. Zink, G. Papadimitriou, and E. Deelman

    IEEE Internet Computing, vol. 27, no. 3, pp. 35-43, doi: 10.1109/MIC.2023.3260440, May-June 2023 JournalPaper

  7. Graph Neural Networks for Detecting Anomalies in Scientific Workflows

    H. Jin, K. Raghavan, G. Papadimitriou, C. Wang, A. Mandal, M. Kiran, E. Deelman, and P. Balaprakash

    The International Journal of High Performance Computing Applications, 2023;0(0). doi:10.1177/10943420231172140, May 2023 JournalPaper

  8. Experiments on Network Services for Video Transmission using FABRIC Instrument Resources

    A. E. Morel, P. Calyam, D. Gafurov, C. Wang, K. Thareja, A. Mandal, E. Lyons, M. Zink, G. Papadimitriou, and E. Deelman

    Proceedings of the 10th International Workshop on Computer and Networking Experimental Research using Testbeds (CNERT) in conjunction with IEEE International Conference on Computer Communications (INFOCOM), doi:10.1109/INFOCOMWKSHPS57453.2023.10225817, New York, NY, May 2023 Workshop★ Best Paper Runner-Up, CNERT 2023Paper

  9. Dynamic Network-Centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows

    G. Papadimitriou, C. Wang, E. Lyons, K. Thareja, P. Ruth, J. J. Villalobos, I. Rodero, E. Deelman, M. Zink, and A. Mandal

    in: Darema, F., Blasch, E.P., Ravela, S., Aved, A.J. (eds) Handbook of Dynamic Data Driven Applications Systems: Volume 2, Springer, pages 835-868, doi=10.1007/978-3-031-27986-7_32, March 2023 Book chapterPaper

  10. Network Services Management using Programmable Data Planes for Visual Cloud Computing

    A. E. Morel, P. Calyam, C. Qu, D. Gafurov, C. Wang, K. Thareja, A. Mandal, E. Lyons, M. Zink, G. Papadimitriou, and E. Deelman

    Proceedings of the 2023 International Conference on Computing, Networking and Communications (ICNC): Next Generation Networks and Internet Applications (ICNC '23), Honolulu, HI, USA, doi:10.1109/ICNC57223.2023.10074183, February 2023 ConferencePaper

2022

  1. Workflow Anomaly Detection with Graph Neural Networks

    H. Jin, K. Raghavan, G. Papadimitriou, C. Wang, A. Mandal, P. Krawczuk, L. Pottier, M. Kiran, E. Deelman, and P. Balaprakash

    Proceedings of the 17th Workshop on Workflows in Support of Large-Scale Science (WORKS '22), Dallas, TX, November 2022 WorkshopPaper

  2. Modeling Data Integrity Threats for Scientific Workflows Using OSCRP and MITRE ATT&CK

    I. Abhinit, E. K. Adams, B. Chase, A. Mandal, Y. Xin, K. Vahi, M. Rynge, and E. Deelman

    Lightning Talk Abstract at 17th Workshop on Workflows in Support of Large-Scale Science (WORKS '22), Dallas, TX, November 2022 WorkshopPaper

  3. 2022 Cyberinfrastructure for NSF Major Facilities Workshop Report

    E. Deelman, I. Baldin, S. Barnet, G. B. Berriman, D. Brower, R. Casey, S. Chaudhry, L. Christopherson, C. Clark, B. Dobbins, M. Gohsman, K. Kee, M. Livny, A. Mandal, R. Mayani, A. Murillo, J. Nabrzyski, A. Olshansky, V. Pascucci, S. Petruzza, L. Pottier, C. Romsos, M. Rynge, E. Scott, A. Shepherd, J. Schopf, K. Vahi, C. Vardeman, N. Virdone, and J. West

    Zenodo. https://doi.org/10.5281/zenodo.6643902, June 2022 ReportPaper

  4. Graph Neural Network for Anomalies Detection in Scientific Workflows

    L. Pottier, P. Balaprakash, G. Papadimitriou, M. Kiran, K. Raghavan, C. Wang, P. Krawczuk, K. Thareja, A. Mandal and E. Deelman

    Poster and Short Paper in 2022 Workshop on Modeling & Simulation of Systems and Applications (MODSIM '22), Seattle, WA, August 2022 Poster

  5. Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus

    R. Tanaka, G. Papadimitriou, S. Charan, C. Wang, E. Lyons, K. Thareja, C. Qu, A. Esquivel, E. Deelman, A. Mandal, P. Calyam, and M. Zink

    2nd ACM/IEEE International workshop on Cloud-to-Things continuum: towards the convergence of IoT, Edge and Cloud Computing (Cloud2Things 2022), Taormina, Messina Italy, May 2022 Workshop★ Best Paper Award, Cloud2Things 2022Paper

  6. Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows

    I. Abhinit, E. K. Adams, K. Alam, B. Chase, E. Deelman, L. Gorenstein, S. Hudson, T. Islam, J. Larson, G. Lentner, A. Mandal, J. -L. Navarro, B. Nicolae, L. Pouchard, R. Ross, B. Roy, M. Rynge, A. Serebrenik, K. Vahi, S. Wild, Y. Xin, R. F. da Silva, and R. Filgueira

    Proceedings of the 17th Workshop on Workflows in Support of Large-Scale Science (WORKS '22), Dallas, TX, November 2022 WorkshopPaper

  7. Data Integrity Error Localization in Networked Systems with Missing Data

    Y. Xin, Shih-Wen Fu, A. Mandal, R. Tanaka, M. Rynge, K. Vahi, and E. Deelman

    2022 IEEE International Conference on Communications (ICC '22), Seoul, South Korea, May 2022 ConferencePaper

2021

  1. Fair Sharing of Network Resources Among Workflow Ensembles

    G. Papadimitriou, E. Lyons, C. Wang, K. Thareja, R. Tanaka, P. Ruth, I. Rodero, E. Deelman, M. Zink, and A. Mandal

    Cluster Computing (2021) Journal, Springer. https://doi.org/10.1007/s10586-021-03457-3, November 2021 JournalPaper

  2. FlyNet: A Platform to Support Scientific Workflows from the Edge to the Core for UAV Applications

    E. Lyons, S. Wang, K. Thareja, C. Qu, G. Papadimitriou, R. Tanaka, H. Saplakoglu, P. Calyam, E. Deelman, A. Mandal, and M. Zink

    2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC 2021), Leicester, UK, December 2021 ConferencePaper

  3. Root Cause Analysis of Data Integrity Errors in Networked Systems with Incomplete Information

    Y. Xin, Shih-Wen Fu, A. Mandal, I. Baldin, R. Tanaka, M. Rynge, K. Vahi, E. Deelman, I. Abhinit and V. Welch

    12th International Conference on Information and Communication Technology Convergence (ICTC 2021), Jeju Island, South Korea, October 2021 ConferencePaper

  4. A Performance Characterization of Scientific Machine Learning Workflows

    P. Krawczuk, G. Papadimitriou, R. Tanaka, Tu Mai Anh Do, S. Subramanya, S. Nagarkar, A. Jain, K. Lam, A. Mandal, L. Pottier, and E. Deelman

    Proceedings of the 16th Workshop on Workflows in Support of Large-Scale Science (WORKS '21), St. Louis, MO, November 2021 WorkshopPaper

  5. WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows

    B. Xie, Q. Cao, M. Kunjir, L. Wan, J. Chase, A. Mandal, and M. Rynge

    IEEE Cluster 2021 Conference (CLUSTER 2021), Virtual, pp. 35-46, doi: 10.1109/Cluster48925.2021.00025. September 2021 ConferencePaper

  6. Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks

    P. Krawczuk, G. Papadimitriou, S. Nagarkar, M. Kiran, A. Mandal, and E. Deelman

    ACM Practice and Experience in Advanced Research Computing (PEARC 2021) Conference, doi: https://doi.org/10.1145/3437359.3465597, Virtual, July 2021 ConferencePaper

  7. Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing

    E. Lyons, D. Seo, S. Kim, H. Habibi, G. Papadimitriou, R. Tanaka, E. Deelman, M. Zink, and A. Mandal

    IEEE eScience 2021 Poster, Virtual, pp. 259-261, doi: 10.1109/eScience51609.2021.00050. September 2021 PosterPaper

  8. Mining Workflows for Anomalous Data Transfers

    H. Tu, G. Papadimitriou, M. Kiran, C. Wang, A. Mandal, E. Deelman, and T. Menzies

    The 2021 Mining Software Repositories Conference, May 2021 ConferencePaper

  9. End-to-end online performance data capture and analysis for scientific workflows

    G. Papadimitriou, C. Wang, K. Vahi, R. Silva, A. Mandal, Z. Liu, R. Mayani, M. Rynge, M. Kiran, V. Lynch, R. Kettimuthu, E. Deelman, J. Vetter, and I. Foster

    Future Generation Computer Systems (FGCS) journal, Volume 117, Pages 387-400, April 2021 Journal★ Best Paper Award, Elsevier FGCS 2021Paper

  10. Blueprint: Cyberinfrastructure Center of Excellence

    Deelman, E., Mandal, A., Murillo, A. P., Nabrzyski, J., Pascucci, V., Ricci, R., Baldin, I., Sons, S., Christopherson, L., Vardeman, C., Ferreira da Silva, R., Wyngaard, J., Petruzza, S., Rynge, M., Vahi, K., Whitcup, W. R., Drake, J., & Scott, E.

    Zenodo. https://doi.org/10.5281/zenodo.4587866, 2021 ReportPaper

2020

  1. Application Aware Software Defined Flows of Workflow Ensembles

    G. Papadimitriou, E. Lyons, C. Wang, K. Thareja, R. Tanaka, P. Ruth, J. J. Villalobos, I. Rodero, E. Deelman, M. Zink, and A. Mandal

    2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), doi: 10.1109/INDIS51933.2020.00007, Nov 2020 WorkshopPaper

  2. An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing

    E. Lyons, D. Westbrook, A. Grote, G. Papadimitriou, K. Thareja, C. Wang, M. Zink, E. Deelman, A. Mandal, and P. Ruth

    Darema F., Blasch E., Ravela S., Aved A. (eds) Dynamic Data Driven Applications Systems. DDDAS 2020. Lecture Notes in Computer Science, vol 12312. Springer, Cham. https://doi.org/10.1007/978-3-030-61725-7_36 Oct 2020 ConferencePaper

  3. Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques

    C. Wang, G. Papadimitriou, M. Kiran, A. Mandal, and E. Deelman

    2020 IEEE High Performance Extreme Computing Conference (HPEC 2020), doi: 10.1109/HPEC43674.2020.9286139, Sep 2020 ConferencePaper

  4. Toward a Data Lifecycle Model for NSF Large Facilities

    L. Christopherson, A. Mandal, E. Scott and I. Baldin

    Practice and Experience in Advanced Research Computing (PEARC 2020) Conference, Portland, OR, doi: https://dl.acm.org/doi/abs/10.1145/3311790.3396636 July 2020 ConferencePaper

  5. Detecting Anomalous Packets in Network Transfers: Investigations using PCA, Autoencoder and Isolation Forest in TCP

    M. Kiran, C. Wang, G. Papadimitriou, A. Mandal, and E. Deelman

    Machine Learning, vol 109, pages 1127–1143, 2020, https://doi.org/10.1007/s10994-020-05870-y, 2020 JournalPaper

  6. DyNamo: Scalable Weather Workflow Processing in the Academic MultiCloud

    E. Lyons, M. Zink, A. Mandal, C. Wang, P. Ruth, C. Radhakrishnan, G. Papadimitriou, E. Deelman, K. Thareja, and I. Rodero

    100th American Meteorological Society (AMS) Annual Meeting, Jan 2020 ConferencePaper

2019

  1. The Role of Machine Learning in Scientific Workflows

    E. Deelman, A. Mandal, M. Jiang, and R. Sakellariou

    The International Journal of High Performance Computing Applications, Volume: 33 issue: 6, page(s): 1128-1139, 2019, doi: https://doi.org/10.1177/1094342019852127 JournalPaper

  2. Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure

    E. Deelman, A. Mandal, V. Pascucci, S. Sons, J. Wyngaard, C. F. Vardeman II, S. Petruzza, I. Baldin, L. Christopherson, R. Mitchell, L. Pottier, M. Rynge, E. Scott, K. Vahi, M. Kogank, J. A. Mann, T. Gulbransen, D. Allen, D. Barlow, S. Bonarrigo, C. Clark, L. Goldman, T. Goulden, P. Harvey, D. Hulsander, S. Jacob, C. Laney, I. Lobo-Padilla, J. Sampson, J. Staarmann, and S. Stone

    15th International Conference on eScience (eScience), San Diego, CA, Sep 2019 ConferencePaper

  3. Toward a Dynamic Network-centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing

    E. Lyons, G. Papadimitriou, C. Wang, K. Thareja, P. Ruth, J. J. Villalobos, I. Rodero, E. Deelman, M. Zink, and A. Mandal

    15th International Conference on eScience (eScience), p. 67–76, San Diego, CA, Sep 2019 ConferencePaper

  4. Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows

    K. Vahi, M. Rynge, G. Papadimitriou, D. Brown, R. Mayani, R. Ferreira da Silva, E. Deelman, A. Mandal, E. Lyons, and M. Zink

    15th International Conference on eScience (eScience), 2019, p. 281–290, San Diego, CA, Sep 2019 ConferencePaper

  5. Training Classifiers to Identify TCP Signatures in Scientific Workflows

    G. Papadimitriou, M. Kiran, C. Wang, A. Mandal, and E. Deelman

    Innovating the Network for Data Intensive Science (INDIS), Nov 2019 WorkshopPaper

  6. Integrity Protection for Scientific Workflow Data: Motivation and Initial Experiences

    M. Rynge, K. Vahi, E. Deelman, A. Mandal, I. Baldin, O. Bhide, R. Heiland, V. Welch, R. Hill, W. L. Poehlman, and A. F. Feltus

    Proceedings of the Practice and Experience in Advanced Research Computing (PEARC) on Rise of the Machines (Learning), New York, NY, USA, 2019, p. 17:1–17:8., Jul 2019 Conference★ Best Paper & Phil Andrews Most Transformative Contribution Award, PEARC '19Paper

  7. COMET: Distributed Metadata Service for Multi-cloud Experiments

    K. Thareja, C. Wang, P. Ruth, A. Mandal, I. Baldin, M. Stealey

    Midscale Education and Research Infrastructure and Tools (MERIT) Workshop at 27th IEEE International Conference on Network Protocols (ICNP 2019), October 2019 WorkshopPaper

2018

  1. Detecting Outliers in Network Transfers with Feature Extraction

    M. Kiran, C. Wang, N. S. V. Rao and A. Mandal

    DISE1: Joint Workshop on Deep (or Machine) Learning for Safety-Critical Applications in Engineering co-located with 35th International Conference on Machine Learning, Jul 2018 WorkshopPaper

2017

  1. PANORAMA: An Approach to Performance Modeling and Diagnosis of Extreme Scale Workflows

    E. Deelman, C. Carothers, A. Mandal, B. Tierney, J. S. Vetter, I. Baldin, C. Castillo, G. Juve, D. Krol, V. Lynch, B. Mayer, J. Meredith, T. Proffen, P. Ruth, and R. Ferreira da Silva

    International Journal of High Performance Computing Applications, vol. 31, iss. 1, p. 4–18, 2017 JournalPaper

  2. Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges

    A. Mandal, P. Ruth, I. Baldin, R. Ferreira da Silva, and E. Deelman

    First International Workshop on Workflow Science (WoWS 2017), 2017, p. 566–575, Oct 2017 WorkshopPaper

  3. Slice-based Network Transit Service: Inter-Domain L2 Networking on ExoGENI

    Y. Yao, Q. Cao, J. Chase, P. Ruth, I. Baldin, Y. Xin, A. Mandal

    Distributed Cloud Computing (DCC) Workshop at IEEE International Conference on Computer Communications (INFOCOM), May 2017 WorkshopPaper

  4. Data Flow Prioritization for Scientific Workflows Using A Virtual SDX on ExoGENI

    A. Mandal, P. Ruth, I. Baldin, R. Silva and E. Deelman

    Poster at 25th GENI Engineering Conference (GEC 25), Miami, FL, March 2017 PosterPaper

2016

  1. Anomaly Detection for Scientific Workflow Applications on Networked Clouds

    P. Gaikwad, A. Mandal, P. Ruth, G. Juve, D. Krol, and E. Deelman

    IEEE 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), Jul 2016 ConferencePaper

  2. Toward an End-to-end Framework for Modeling, Monitoring, and Anomaly Detection for Scientific Workflows

    A. Mandal, P. Ruth, I. Baldin, D. Krol, G. Juve, R. Mayani, R. Ferreira da Silva, E. Deelman, J. Meredith, J. Vetter, V. Lynch, B. Mayer, J. Wynne III, M. Blanco, C. Carothers, J. LaPre, and B. Tierney

    Workshop on Large-Scale Parallel Processing (LSPP 2016), 2016, p. 1370–1379, May 2016 WorkshopPaper

  3. ExoGENI: A Multi-Domain Infrastructure-as-a-Service Testbed

    I. Baldin, J. Chase, Y. Xin, A. Mandal, P. Ruth, C. Castillo, V. Orlikowski, C. Heermann, and J. Mills

    Rick McGeer, Mark Berman, Chip Elliott, Robert Ricci, Eds., The GENI Book, Chapter, pp 279-315, Springer International Publishing, isbn 978-3-319-33769-2, doi: 10.1007/978-3-319-33769-2 13, 2016 Book chapterPaper

  4. Towards and Experimental Legoland: Slice Modification and Recovery in ExoGENI Testbed

    Y. Xin, I. Baldin, A. Mandal, P. Ruth, and J. Chase

    Proceedings of 11th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TridentCom’16), Hangzhou, China, June 2016 ConferencePaper

2015

  1. Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection

    A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, F. Jiang, C. Schmitt, G. Juve, M. Rynge, E. Deelman, and J. Chase

    2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC), Limassol, 2015, pp. 162-173, Dec 2015 ConferencePaper

  2. Panorama: Modeling The Performance of Scientific Workflows

    E. Deelman, C. Carothers, A. Mandal, B. Tierney, J. S. Vetter, I. Baldin, C. Castillo, G. Juve, D. Krol, V. Lynch, B. Mayer, J. Meredith, T. Proffen, P. Ruth, and R. Ferreira da Silva

    Workshop on Modeling and Simulation of Systems and Applications (ModSim 2015), August 2015 WorkshopPaper

  3. Enabling workflow repeatability with virtualization support

    F. Jiang, C. Castillo, C. Schmitt, A. Mandal, P. Ruth, and I. Baldin

    Proceedings of the 10th Workshop on Workflows in Support of Large-Scale Science (WORKS '15). ACM, New York, NY, USA, Article 8, 10 pages. DOI=http://dx.doi.org/10.1145/2822332.2822340 WorkshopPaper

  4. Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms

    P. Ruth, A. Mandal, C. Castillo, R. Fowler, J. Tilson, I. Baldin, and Y. Xin

    Proceedings of the 2015 ACM HPDC International Workshop on Scientific Cloud Computing (ScienceCloud), Portland, OR, June 2015 WorkshopPaper

2014

  1. Enabling Persistent Queries for Cross-aggregate Performance Monitoring

    A. Mandal, I. Baldin, Y. Xin, P. Ruth and C. Heermann

    IEEE Communications Magazine, vol 52(5), pp. 157-164, IEEE, May 2014 JournalPaper

  2. Managing Dynamic Networked Cloud Infrastructure for Data Driven Scientific Workflows Using Proactive Introspection

    A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, F. Jiang, C. Schmitt, G. Juve, M. Rynge, E. Deelman, and J. Chase

    SCinet Workshop on Innovating the Network for Data Intensive Science (INDIS) at SC 2014, New Orleans, LA, Nov 2014 WorkshopPaper

  3. Domain Science Applications on GENI: Presentation and Demo

    P. Ruth, A. Mandal

    ICNP, 2014 IEEE 22nd International Conference on Network Protocols (ICNP), pp. 540-543, doi:10.1109/ICNP.2014.86, Oct 2014 ConferencePaper

  4. Capacity of Inter-Cloud Layer-2 Virtual Networking

    Y. Xin, I. Baldin, C. Heerman, A. Mandal, and P. Ruth

    Proceedings of ACM SIGCOMM Workshop on Distributed Cloud Computing (DCC 2014), August 2014 WorkshopPaper

  5. Scaling up Applications Over Distributed Clouds with Dynamic Layer-2 Exchange and Broadcast Service

    Y. Xin, I. Baldin, C. Heerman, A. Mandal, and P. Ruth

    Proceedings of Workshop on Federated Future Internet and Distributed Cloud Testbeds (FIDC), September 9th-11th, 2014 WorkshopPaper

  6. Leveraging and Adapting ExoGENI Infrastructure for Data-driven Domain Science Workflows

    A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, M. Rynge, and E. Deelman

    Proceedings of the 3rd GENI Research and Educational Experiment Workshop (GREE 2014), GEC19, Atlanta, GA, USA, March 19-20, 2014 WorkshopPaper

2013

  1. Evaluating I/O aware network management for scientific workflows on networked clouds

    A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, M. Rynge, and E. Deelman

    Proceedings of the Third International Workshop on Network-Aware Data Management (NDM '13). ACM, New York, NY, Nov 2013 WorkshopPaper

2012

  1. Dynamic Network Provisioning for Data Intensive Applications in the Cloud

    P. Ruth, A. Mandal, Y. Xin, I. Baldine, C. Heermann and J. Chase

    IEEE e-Science 2012, Chicago, IL, Oct 2012 ConferencePaper

  2. ExoGENI: A Multi-Domain Infrastructure-as-a-Service Testbed

    I. Baldine, Y. Xin, A. Mandal, P. Ruth, A. Yumerefendi and J. Chase

    Proceedings of the 8th International ICST Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TRIDENTCOM 2012), Thessaloniki, Greece, June 2012 ConferencePaper

  3. System-wide Introspection for Accurate Attribution of Performance Bottlenecks

    A. Mandal, A. Porterfield and R. Fowler

    Proceedings of the 2nd International Workshop on High-performance Infrastructure for Scalable Tools (WHIST 2012), Venice, Italy, June 2012 WorkshopPaper

  4. Adaptive Scheduling Using Performance Introspection

    A. Porterfield, R. Fowler, A. Mandal, D. Obrien, S. Olivier and M. Spiegel

    RENCI Technical Report TR-12-02, May 2012 ReportPaper

2011

  1. Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications

    A. Mandal, Y. Xin, I. Baldine, P. Ruth, C. Heermann, J. Chase, V. Orlikowski and A. Yumerefendi

    Proceedings of the 3rd International Conference on Cloud Computing Technologies and Science (IEEE Cloudcom '11), Athens, Greece, December 2011 ConferencePaper

  2. Embedding Virtual Topologies in Networked Clouds

    Y. Xin, I. Baldine, A. Mandal, C. Heermann, J. Chase and A. Yumerefendi

    Proceedings of the 6th ACM International Conference on Future Internet Technologies 2011 (CFI 2011), Seoul, Korea, June 2011 ConferencePaper

2010

  1. Modeling Memory Concurrency for Multi-Socket Multi-Core Systems

    A. Mandal, R. Fowler and A. Porterfield

    Proceedings of 2010 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2010), White Plains, NY, March 2010 ConferencePaper

  2. Network Cloud Orchestration: A GENI Perspective

    I. Baldine, Y. Xin, A. Mandal, C. Heermann, J. Chase, V. Marupadi, A. Yumerefendi and D. Irwin

    Proceedings of the 2nd IEEE International Workshop on Management of Emerging Networks and Services (IEEE MENS '10) in conjunction with GLOBECOM'10, Miami, FL, December 2010 WorkshopPaper

  3. Implications for Applications and Compilers of Multi-core Memory Concurrency

    A. Mandal, M. Y. Lim, A. Porterfield and R. Fowler

    Poster at International Workshop on Languages and Compilers for Parallel Computing (LCPC'10), Houston, TX, October 2010 PosterPaper

2009

  1. VGrADS: Enabling e-Science Workflows on Grids and Clouds with Fault Tolerance

    L. Ramakrishnan, D. Nurmi, A. Mandal, C. Koelbel, D. Gannon, T. M. Huang, Y. S. Kee, G. Obertelli, K. Thyagaraja, R. Wolski, A. Yarkhan, D. Zagorodnov

    Proceedings of the IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC) ’09, Portland, OR, Nov 2009 ConferencePaper

  2. Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids

    R. Zhang, A. Mandal, C. Koelbel and K. Cooper

    Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid), May 2009 ConferencePaper

  3. Empirical Evaluation of Multi-Core Memory Concurrency

    A. Porterfield, R. Fowler, A. Mandal and M. Y. Lim

    Technical Report TR-09-01, RENCI, North Carolina, Jan 2009 ReportPaper

2008

  1. Challenges of Scale: When All Computing Becomes Grid Computing

    R. J. Fowler, T. Gamblin, G. Kandaswamy, A. Mandal, A. K. Porterfield, L. Ramakrishnan, and D. A. Reed

    Lucio Grandinetti, Eds., High Performance Computing and Grids in Action, Chapter, IOS Press, Amsterdam, 2008 Book chapterPaper

  2. Fault Tolerance and Recovery of Scientific Workflows on Computational Grids

    G. Kandaswamy, A. Mandal, and D. A. Reed

    Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid), pp. 777-782, Lyon, France, May 2008 ConferencePaper

  3. Performance Consistency on Multi-socket AMD Opteron Systems

    A. Porterfield, R. Fowler, A. Mandal, and M. Lim

    Technical Report TR-08-07, RENCI, North Carolina, Dec 2008 ReportPaper

2006

  1. Evaluation of a Workflow Scheduler Using Integrated Performance Modeling and Batch Queue Wait Time Prediction

    D. Nurmi, A. Mandal, J. Brevik, K, C. Koelbel, R. Wolski and K. Kennedy

    Proceedings of the IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC), pp. 29-, Tampa, FL, November 2006 ConferencePaper

  2. Scalable Grid Application Scheduling with Virtual Grids via Decoupled Resource Selection and Scheduling

    R. Zhang, A. Mandal, H. Casanova, A. Chien, Y. Kee, K. Kennedy and C. Koelbel

    Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid), Vol 1, pp. 568-575, Singapore, May 2006 ConferencePaper

  3. Toward a Tool for Scheduling Application Workflows onto Distributed Grid Systems

    A. Mandal

    PhD Thesis, Available as Technical Report TR06-875, Computer Science, Rice University, May 2006 ThesisPaper

2005

  1. Scheduling Strategies for Mapping Application Workflows onto the Grid

    A. Mandal, K. Kennedy, C. Koelbel, G. Marin, J. Mellor-Crummey, B. Liu and L. Johnsson

    Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC), pp. 125-134, Raleigh, NC, July 2005 ConferencePaper

  2. Task Scheduling Strategies for Workflow-based Applications in Grids

    J. Blythe, S. Jain, E. Deelman, Y. Gil, K. Vahi, A. Mandal and K. Kennedy

    Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid), Vol 2, pp. 759-767, Cardiff, UK, May 2005 ConferencePaper

  3. New Grid Scheduling and Rescheduling Methods in the GrADS Project

    F. Berman, H. Casanova, A. Chien, K. Cooper, H. Dail, A. Dasgupta, W. Deng, J. Dongarra, L. Johnsson, K. Kennedy, C. Koelbel, B. Liu, X. Liu, A. Mandal, G. Marin, M. Mazina, J. Mellor-Crummey, C. Mendes, A. Olugbile, M. Patel, D. Reed, Z. Shi, O. Sievert, H. Xia and A. YarKhan

    International Journal of Parallel Programming (IJPP), Volume 33(2-3):pp. 209-229, 2005 JournalPaper

2004

  1. Scheduling Workflow Applications in GrADS

    A. Mandal, A. Dasgupta, K. Kennedy, M. Mazina, C. Koelbel, G. Marin, K. Cooper, J. Mellor-Crummey, B. Liu and L. Johnsson

    Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid), pp. 790-797, Chicago, IL, April 2004 ConferencePaper