Publications

2025

• K. Thareja, K. Raghavan, A. Mandal, P. Zuk, I. Mahmud, M. Kiran, and E. Deelman, "A Greedy Consensus-based Approach to Distributed Job Selection: Toward Fully-decentralized Workload Management System," in 2025 25th IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid'25), Tromso, Norway, accepted, May 2025. [Link]

• 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, "SWARM: Reimagining Scientific Workflow Management Systems in a Distributed World," in International Journal of High Performance Computing Applications (IJHPCA), accepted. May 2025. [Link]

• K. Raghavan, G. Papadimitriou, H. Jin,  A. Mandal, M. Kiran, P. Balaprakash, and E. Deelman, "Advancing Anomaly Detection in Computational Workflows with Active Learning," in Future Generation Computer Systems Journal, Volume 166, May 2025. [Link]

2024

• 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, “Shaping the Future of Self-Driving Autonomous Laboratories Workshop”, in Technical Report, ORNL/TM-2024/3714, DOI: 10.5281/zenodo.1443023 , December 2024. [Link]

• I. Mahmud, P. Zuk, C. Wang, M. Kiran, K. Wu, K. Thareja, K. Raghavan, A. Mandal, and E. Deelman, "DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure," in 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. [Link]

• 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, "SWARM: Scientific Workflow Applications on Resilient Metasystem," Poster in 2024 IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'24), Atlanta, GA, November 2024. [Link]

• H. Jin, G. Papadimitriou, K. Raghavan, P. Zuk, P. Balaprakash, C. Wang, A. Mandal, and E. Deelman, "Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning," in 2024 IEEE/ACM International Conference for High Performance Computing, Networking, Storage, and Analysis (SC'24), Atlanta, GA, November 2024, to appear. [Link]

• 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, "CyberInfrastructure Training and Education for Synchrotron X-Ray Science (X-CITE)," Poster at 2024 NSF Cybertraining PI Meeting, Charlotte, NC, August 2024. [Link] 

• A. Mandal, K. Thareja, and P. Ruth, "Network Testbed for Experimenting With Decentralized Federated Learning," 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. [Link]

2023

• I. Mahmud, G. Papadimitriou, C. Wang, M. Kiran, A. Mandal, and E. Deelman, "Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links," in 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. (INDIS 2023 Workshop Best Paper) [Link]

• I. Mahmud, G. Papadimitriou, C. Wang, M. Kiran, A. Mandal, and E. Deelman, "Experimenting TCP Performance with Fabric," in 2023 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS) Workshop at SC'23, Denver, CO, Nov 2023. [Link]

• A. Grote, E. Lyons, K. Thareja, G. Papadimitriou, E. Deelman, A. Mandal, P. Calyam, and M. Zink, "FlyPaw: Optimized Route Planning for Scientific UAV Missions," in 19th IEEE International Conference on eScience (eScience), doi: 10.1109/e-Science58273.2023.10254831, Limassol, Cyprus, Oct 2023. [Link]

• A. P. Murillo, D. Brower, S. Hossain, K. Kee, A. Mandal, J. Nabrzyski, E. Scott, N. Virdone, R. Ewing, and E. Deelman, "Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals," Poster in Practice and Experience in Advanced Research Computing (PEARC 2023) Conference, Portland, OR, doi: 10.1145/3569951.3597567, July 2023. [Link]

• G. Papadimitriou, H. Jin, C. Wang, K. Raghavan, A. Mandal, P. Balaprakash, E. Deelman, "Flow-Bench: A Dataset for Computational Workflow Anomaly Detection," in arXiv preprint arXiv:2306.09930, June 2023. [Link]

• A. Morel, C. Qu, P. Calyam, C. Wang, K. Thareja, A. Mandal, E. Lyons, M. Zink, G. Papadimitriou, and E. Deelman, "FlyNet: Drones on the Horizon," in IEEE Internet Computing, vol. 27, no. 3, pp. 35-43, doi: 10.1109/MIC.2023.3260440, May-June 2023. [Link]

• H. Jin, K. Raghavan, G. Papadimitriou, C. Wang, A. Mandal, M. Kiran, E. Deelman, and P. Balaprakash, "Graph Neural Networks for Detecting Anomalies in Scientific Workflows", in The International Journal of High Performance Computing Applications, 2023;0(0). doi:10.1177/10943420231172140, May 2023. [Link]

• A. E.Morel, P. Calyam, D. Gafurov, C. Wang, K. Thareja, A. Mandal, E. Lyons, M. Zink, G. Papadimitriou, and E. Deelman, "Experiments on Network Services for Video Transmission using FABRIC Instrument Resources", in 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.  (CNERT 2023 Workshop Best Paper Runner Up) [Link]

• G. Papadimitriou, C. Wang, E. Lyons, K. Thareja, P. Ruth, J. J. Villalobos, I. Rodero, E. Deelman, M. Zink, and A. Mandal, "Dynamic Network-Centric Multi-cloud Platform for Real-Time and Data-Intensive Science Workflows," 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. [Link]

• A. E.Morel, P. Calyam, C. Qu, D. Gafurov, C. Wang, K. Thareja, A. Mandal, E. Lyons, M. Zink, G. Papadimitriou, and E. Deelman, "Network Services Management using Programmable Data Planes for Visual Cloud Computing", in 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. [Link]

2022

• H. Jin, K. Raghavan, G. Papadimitriou, C. Wang, A. Mandal, P. Krawczuk, L. Pottier, M. Kiran, E. Deelman, and P. Balaprakash, "Workflow Anomaly Detection with Graph Neural Networks", in Proceedings of the 17th Workshop on Workflows in Support of Large-Scale Science (WORKS '22), Dallas, TX, November 2022. [Link]

• I. Abhinit, E. K. Adams, B. Chase, A. Mandal, Y. Xin, K. Vahi, M. Rynge, and E. Deelman, "Modeling Data Integrity Threats for Scientific Workflows Using OSCRP and MITRE ATT&CK", in Lightning Talk Abstract at 17th Workshop on Workflows in Support of Large-Scale Science (WORKS '22), Dallas, TX, November 2022. [Link]

• 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, "2022 Cyberinfrastructure for NSF Major Facilities Workshop Report", in Zenodo. https://doi.org/10.5281/zenodo.6643902 , June 2022. [Link]

• L. Pottier, P. Balaprakash, G. Papadimitriou, M. Kiran, K. Raghavan, C. Wang, P. Krawczuk, K. Thareja, A. Mandal and E. Deelman, "Graph Neural Network for Anomalies Detection in Scientific Workflows", Poster and Short Paper in 2022 Workshop on Modeling & Simulation of Systems and Applications (MODSIM '22), Seattle, WA, August 2022. [Link]

• 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, "Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus", in 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. (Best Paper Award) [Link]

• 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, "Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows", in Proceedings of the 17th Workshop on Workflows in Support of Large-Scale Science (WORKS '22), Dallas, TX, November 2022. [Link]

• Y. Xin,  Shih-Wen Fu, A. Mandal, R. Tanaka, M. Rynge, K. Vahi, and E. Deelman, "Data Integrity Error Localization in Networked Systems with Missing Data", in 2022 IEEE International Conference on Communications (ICC '22), Seol, South Korea, May 2022. [Link]

2021

• G. Papadimitriou, E. Lyons, C. Wang, K. Thareja, R. Tanaka, P. Ruth, I. Rodero, E. Deelman, M. Zink, and A. Mandal, "Fair Sharing of Network Resources Among Workflow Ensembles", in Cluster Computing (2021) Journal, Springer. https://doi.org/10.1007/s10586-021-03457-3, November 2021. [Link]

• E. Lyons, S. Wang, K. Thareja, C. Qu, G. Papadimitriou, R. Tanaka, H. Saplakoglu, P. Calyam, E. Deelman, A. Mandal, and M. Zink, "FlyNet: A Platform to Support Scientific Workflows from the Edge to the Core for UAV Applications", in 2021 IEEE/ACM 14th International Conference on Utility and Cloud Computing (UCC 2021), Leicester, UK, December 2021. [Link]

• Y. Xin,  Shih-Wen Fu, A. Mandal, I. Baldin, R. Tanaka, M. Rynge, K. Vahi, E. Deelman, I. Abhinit and V. Welch, "Root Cause Analysis of Data Integrity Errors in Networked Systems with Incomplete Information", in 12th International Conference on Information and Communication Technology Convergence (ICTC 2021), Jeju Island, South Korea, October 2021. [Link]

• 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, "A Performance Characterization of Scientific Machine Learning Workflows", in Proceedings of the 16th Workshop on Workflows in Support of Large-Scale Science (WORKS '21), St. Louis, MO, November 2021, to appear. [Link]

• B. Xie, Q. Cao, M. Kunjir, L. Wan, J. Chase, A. Mandal, and M. Rynge, “WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows”, in IEEE Cluster 2021 Conference (CLUSTER 2021), Virtual, pp. 35-46, doi: 10.1109/Cluster48925.2021.00025. September 2021. [Link]

• P. Krawczuk, G. Papadimitriou, S. Nagarkar, M. Kiran, A. Mandal, and E. Deelman, "Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks," in ACM Practice and Experience in Advanced Research Computing (PEARC 2021) Conference, doi: https://doi.org/10.1145/3437359.3465597 , Virtual, July 2021. [Link]

• E. Lyons, D. Seo, S. Kim, H. Habibi, G. Papadimitriou, R. Tanaka, E. Deelman, M. Zink, and A. Mandal, “Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing,” in IEEE eScience 2021 Poster, Virtual, pp. 259-261, doi: 10.1109/eScience51609.2021.00050. September 2021. [Link]

• H. Tu, G. Papadimitriou, M. Kiran, C. Wang, A. Mandal, E. Deelman, and T. Menzies, "Mining Workflows for Anomalous Data Transfers," in The 2021 Mining Software Repositories Conference, May 2021. [Link]

• 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, "End-to-end online performance data capture and analysis for scientific workflows," in Future Generation Computer Systems (FGCS) journal, Volume 117, Pages 387-400, April 2021. (2021 Best paper for FGCS Journal and Editor's Choice paper) [Link]

• 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. "Blueprint: Cyberinfrastructure Center of Excellence," in Zenodo. https://doi.org/10.5281/zenodo.4587866 , 2021. [Link]

2020

• G. Papadimitriou, E. Lyons, C. Wang, K. Thareja, R. Tanaka, P. Ruth, J. J. Villalobos, I. Rodero, E. Deelman, M. Zink, and A. Mandal, "Application Aware Software Defined Flows of Workflow Ensembles," in 2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS), doi: 10.1109/INDIS51933.2020.00007, Nov 2020. [Link]

• E. Lyons, D. Westbrook, A. Grote, G. Papadimitriou, K. Thareja, C. Wang, M. Zink, E. Deelman, A. Mandal, and P. Ruth,  "An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing," in  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. [Link]

• C. Wang, G. Papadimitriou, M. Kiran, A. Mandal, and E. Deelman, "Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques," in  2020 IEEE High Performance Extreme Computing Conference (HPEC 2020), doi: 10.1109/HPEC43674.2020.9286139, Sep 2020. [Link]

• L. Christopherson, A. Mandal, E. Scott and I. Baldin, "Toward a Data Lifecycle Model for NSF Large Facilities," in 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. [Link]

• M. Kiran, C. Wang, G. Papadimitriou, A. Mandal, and E. Deelman, “Detecting Anomalous Packets in Network Transfers: Investigations using PCA, Autoencoder and Isolation Forest in TCP,” in Machine Learning, vol 109, pages 1127–1143, 2020, https://doi.org/10.1007/s10994-020-05870-y , 2020. [Link]

• E. Lyons, M. Zink, A. Mandal, C. Wang, P. Ruth, C. Radhakrishnan, G. Papadimitriou, E. Deelman, K. Thareja, and I. Rodero, “DyNamo: Scalable Weather Workflow Processing in the Academic MultiCloud,” 100th American Meteorological Society (AMS) Annual Meeting, Jan 2020. [Link]

2019

• E. Deelman, A. Mandal, M. Jiang, and R. Sakellariou, “The Role of Machine Learning in Scientific Workflows,” in The International Journal of High Performance Computing Applications, Volume: 33 issue: 6, page(s): 1128-1139, 2019, doi: https://doi.org/10.1177/1094342019852127 . [Link]

• 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, “Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure,” in 15th International Conference on eScience (eScience),  San Diego, CA, Sep 2019. [Link]

• E. Lyons, G. Papadimitriou, C. Wang, K. Thareja, P. Ruth, J. J. Villalobos, I. Rodero, E. Deelman, M. Zink, and A. Mandal, “Toward a Dynamic Network-centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing,” in 15th International Conference on eScience (eScience), p. 67–76, San Diego, CA, Sep 2019. [Link]

• K. Vahi, M. Rynge, G. Papadimitriou, D. Brown, R. Mayani, R. Ferreira da Silva, E. Deelman, A. Mandal, E. Lyons, and M. Zink, “Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows,” in 15th International Conference on eScience (eScience), 2019, p. 281–290, San Diego, CA, Sep 2019. [Link]

• G. Papadimitriou, M. Kiran, C. Wang, A. Mandal, and E. Deelman, “Training Classifiers to Identify TCP Signatures in Scientific Workflows,” in Innovating the Network for Data Intensive Science (INDIS), Nov 2019. [Link]

• 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, “Integrity Protection for Scientific Workflow Data: Motivation and Initial Experiences,” in 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. (Best Paper in Advanced Research Computing Software and Applications Track. The Phil Andrews Most Transformative Contribution Award.) [Link]

• K. Thareja, C. Wang, P. Ruth, A. Mandal, I. Baldin, M. Stealey, "COMET: Distributed Metadata Service for Multi-cloud Experiments", Midscale Education and Research Infrastructure and Tools (MERIT) Workshop at 27th IEEE International Conference on Network Protocols (ICNP 2019), October 2019. [Link]

2018

• M. Kiran, C. Wang, N. S. V. Rao and A. Mandal, "Detecting Outliers in Network Transfers with Feature Extraction," in 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. [Link]

2017

• 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, “PANORAMA: An Approach to Performance Modeling and Diagnosis of Extreme Scale Workflows,” International Journal of High Performance Computing Applications, vol. 31, iss. 1, p. 4–18, 2017. [Link]

• A. Mandal, P. Ruth, I. Baldin, R. Ferreira da Silva, and E. Deelman, “Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges,” in First International Workshop on Workflow Science (WoWS 2017), 2017, p. 566–575, Oct 2017. [Link]

• Y. Yao, Q. Cao, J. Chase, P. Ruth, I. Baldin, Y. Xin, A. Mandal, “Slice-based Network Transit Service: Inter-Domain L2 Networking on ExoGENI," in Distributed Cloud Computing (DCC) Workshop at IEEE International Conference on Computer Communications (INFOCOM), May 2017. [Link]

• A. Mandal, P. Ruth, I. Baldin, R. Silva and E. Deelman, “Data Flow Prioritization for Scientific Workflows Using A Virtual SDX on ExoGENI,” in Poster at 25th GENI Engineering Conference (GEC 25), Miami, FL, March 2017. [Link]

2016

• P. Gaikwad, A. Mandal, P. Ruth, G. Juve, D. Krol, and E. Deelman, “Anomaly Detection for Scientific Workflow Applications on Networked Clouds,” in IEEE 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), Jul 2016. [Link]

• 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, “Toward an End-to-end Framework for Modeling, Monitoring, and Anomaly Detection for Scientific Workflows,” in Workshop on Large-Scale Parallel Processing (LSPP 2016), 2016, p. 1370–1379, May 2016. [Link]

• I. Baldin, J. Chase, Y. Xin, A. Mandal, P. Ruth, C. Castillo, V. Orlikowski, C. Heermann, and J. Mills, “ExoGENI: A Multi-Domain Infrastructure-as-a-Service Testbed," in 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. [Link]

• Y. Xin, I. Baldin, A. Mandal, P. Ruth, and J. Chase, “Towards and Experimental Legoland: Slice Modification and Recovery in ExoGENI Testbed,” in Proceedings of 11th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TridentCom’16), Hangzhou, China, June 2016. [Link]

2015

• A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, F. Jiang, C. Schmitt, G. Juve, M. Rynge, E. Deelman, and J. Chase, "Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection," in 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (UCC), Limassol, 2015, pp. 162-173, Dec 2015. [Link]

• 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, “Panorama: Modeling The Performance of Scientific Workflows,” in Workshop on Modeling and Simulation of Systems and Applications (ModSim 2015), August 2015. [Link]

• F. Jiang, C. Castillo, C. Schmitt, A. Mandal, P. Ruth, and I. Baldin, “Enabling workflow repeatability with virtualization support,” In 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 [Link]

• P. Ruth, A. Mandal, C. Castillo, R. Fowler, J. Tilson, I. Baldin, and Y. Xin, “Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms,” in Proceedings of the 2015 ACM HPDC International Workshop on Scientific Cloud Computing (ScienceCloud), Portland, OR, June 20115. [Link]

2014

• A. Mandal, I. Baldin, Y. Xin, P. Ruth and C. Heermann, “Enabling Persistent Queries for Cross-aggregate Performance Monitoring,” in IEEE Communications Magazine, vol 52(5), pp. 157-164, IEEE, May 2014. [Link]

• A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, F. Jiang, C. Schmitt, G. Juve, M. Rynge, E. Deelman, and J. Chase, " Managing Dynamic Networked Cloud Infrastructure for Data Driven Scientific Workflows Using Proactive Introspection," in SCinet Workshop on Innovating the Network for Data Intensive Science (INDIS) at SC 2014, New Orleans, LA, Nov 2014. [Link]

• P. Ruth, A. Mandal, "Domain Science Applications on GENI: Presentation and Demo", in ICNP, 2014 IEEE 22nd International Conference on Network Protocols (ICNP), pp. 540-543, doi:10.1109/ICNP.2014.86, Oct 2014. [Link]

• Y. Xin, I. Baldin, C. Heerman, A. Mandal, and P. Ruth, “Capacity of Inter-Cloud Layer-2 Virtual Networking,” in Proceedings of ACM SIGCOMM Workshop on Distributed Cloud Computing (DCC 2014), August 2014. [Link]

• Y. Xin, I. Baldin, C. Heerman, A. Mandal, and P. Ruth, “Scaling up Applications Over Distributed Clouds with Dynamic Layer-2 Exchange and Broadcast Service,” in Proceedings of Workshop on Federated Future Internet and Distributed Cloud Testbeds (FIDC), September 9th-11th, 2014. [Link]

• A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, M. Rynge, and E. Deelman, "Leveraging and Adapting ExoGENI Infrastructure for Data-driven Domain Science Workflows," in Proceedings of the 3rd GENI Research and Educational Experiment Workshop (GREE 2014), GEC19, Atlanta, GA, USA, March 19-20, 2014. [Link]

2013

• A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, M. Rynge, and E. Deelman, ”Evaluating I/O aware network management for scientific workflows on networked clouds,” in Proceedings of the Third International Workshop on Network-Aware Data Management (NDM '13). ACM, New York, NY, Nov 2013. [Link] 

2012

• P. Ruth, A. Mandal, Y. Xin, I. Baldine, C. Heermann and J. Chase, “Dynamic Network Provisioning for Data Intensive Applications in the Cloud,” In IEEE e-Science 2012, Chicago, IL, Oct 2012. [Link]

• I. Baldine, Y. Xin, A. Mandal, P. Ruth, A. Yumerefendi  and J. Chase, “ExoGENI: A Multi-Domain Infrastructure-as-a-Service Testbed,” in 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. [Link]

• A. Mandal, A. Porterfield and R. Fowler, “System-wide Introspection for Accurate Attribution of Performance Bottlenecks,” in Proceedings of the 2nd International Workshop on High-performance Infrastructure for Scalable Tools  (WHIST 2012), Venice, Italy, June 2012. [Link]

• A. Porterfield, R. Fowler, A. Mandal, D. Obrien, S. Olivier and M. Spiegel, “Adaptive Scheduling Using Performance Introspection,” in RENCI Technical Report TR-12-02, May 2012. [Link]

2011

• A. Mandal, Y. Xin, I. Baldine, P. Ruth, C. Heermann, J. Chase, V. Orlikowski and A. Yumerefendi, “Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications,” in Proceedings of the 3rd International Conference on Cloud Computing Technologies and Science (IEEE Cloudcom '11), Athens, Greece, December 2011. [Link]

• Y. Xin, I. Baldine, A. Mandal, C. Heermann, J. Chase and A. Yumerefendi, “Embedding Virtual Topologies in Networked Clouds,” in Proceedings of the 6th ACM International Conference on Future Internet Technologies 2011 (CFI 2011), Seoul, Korea, June 2011. [Link]

2010

• A. Mandal, R. Fowler and A. Porterfield, "Modeling Memory Concurrency for Multi-Socket Multi-Core Systems", in Proceedings of 2010 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2010), White Plains, NY, March 2010. [Link]

• I. Baldine, Y. Xin, A. Mandal, C. Heermann, J. Chase, V. Marupadi, A. Yumerefendi and D. Irwin, “Network Cloud Orchestration: A GENI Perspective,” in 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. [Link]

• A. Mandal, M. Y. Lim, A. Porterfield and R. Fowler, “Implications for Applications and Compilers of Multi-core Memory Concurrency,” in Poster at International Workshop on Languages and Compilers for Parallel Computing (LCPC'10), Houston, TX, October 2010. [Link]

2009

• 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, “VGrADS: Enabling e-Science Workflows on Grids and Clouds with Fault Tolerance”, in Proceedings of the IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC) ’09, Portland, OR, Nov 2009. [Link]

• R. Zhang, A. Mandal, C. Koelbel and K. Cooper, “Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids,” in Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid), May 2009. [Link]

• Porterfield, R. Fowler, A. Mandal and M. Y. Lim, “Empirical Evaluation of Multi-Core Memory Concurrency,” in Technical Report TR-09-01, RENCI, North Carolina, Jan 2009. [Link]

2008

• R. J. Fowler, T. Gamblin, G. Kandaswamy, A. Mandal, A. K. Portereld, L. Ramakrishnan, and D. A. Reed, "Challenges of Scale: When All Computing Becomes Grid Computing," in Lucio Grandinetti, Eds., High Performance Computing and Grids in Action, Chapter, IOS Press, Amsterdam, 2008. [Link]

• G. Kandaswamy, A. Mandal, and D. A. Reed, "Fault Tolerance and Recovery of Scientific Workflows on Computational Grids," in Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid) , pp. 777-782, Lyon, France, May 2008. [Link]

• A. Porterfield, R. Fowler, A. Mandal, and M. Lim. ”Performance Consistency on Multi-socket AMD Opteron Systems”, in Technical Report TR-08-07, RENCI, North Carolina, Dec 2008. [Link]

2006

• D. Nurmi, A. Mandal, J. Brevik, K, C. Koelbel, R. Wolski and K. Kennedy, "Evaluation of a Workflow Scheduler Using Integrated Performance Modeling and Batch Queue Wait Time Prediction," in Proceedings of the IEEE/ACM International Conference for High Performance Computing, Networking, Storage and Analysis (SC) , pp. 29-, Tampa, FL, November 2006. [Link]

• R. Zhang, A. Mandal, H. Casanova, A. Chien, Y. Kee, K. Kennedy and C. Koelbel, "Scalable Grid Application Scheduling with Virtual Grids via Decoupled Resource Selection and Scheduling," in Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid) , Vol 1, pp. 568-575, Singapore, May 2006. [Link]

• A. Mandal, "Toward a Tool for Scheduling Application Workflows onto Distributed Grid Systems", PhD Thesis, Available as Technical Report TR06-875, Computer Science, Rice University, May 2006. [Link]

2005

• A. Mandal, K. Kennedy, C. Koelbel, G. Marin, J. Mellor-Crummey, B. Liu and L. Johnsson, "Scheduling Strategies for Mapping Application Workflows onto the Grid," in Proceedings of the IEEE International Symposium on High Performance Distributed Computing (HPDC), pp. 125-134, Raleigh, NC, July 2005. [Link]

• J. Blythe, S. Jain, E. Deelman, Y. Gil, K. Vahi, A. Mandal and K. Kennedy, "Task Scheduling Strategies for Workflow-based Applications in Grids." in Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid) , Vol 2, pp. 759-767, Cardiff, UK, May 2005. [Link]

• 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, "New Grid Scheduling and Rescheduling Methods in the GrADS Project," in International Journal of Parallel Programming (IJPP) , Volume 33(2-3):pp. 209-229, 2005. [Link]

2004

• A. Mandal, A. Dasgupta, K. Kennedy, M. Mazina, C. Koelbel, G. Marin, K. Cooper, J. Mellor-Crummey, B. Liu and L. Johnsson, "Scheduling Workflow Applications in GrADS," in Proceedings of the IEEE International Symposium on Cluster Computing and the Grid (CCGrid) , pp. 790-797, Chicago, IL, April 2004. [Link]