Anirban Mandal

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 50

Top Topics

Scientific Workflows

Top Venues

Int. J. High Perform. Comput. Appl.

Publications

Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman
Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning. CoRR (2024)
Anirban Mandal, Komal Thareja, Paul Ruth
(POSTER) Network Testbed for Experimenting With Decentralized Federated Learning. DCOSS-IoT (2024)
Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
Advancing Anomaly Detection in Computational Workflows with Active Learning. CoRR (2024)
George Papadimitriou, Hongwei Jin, Cong Wang, Krishnan Raghavan, Anirban Mandal, Prasanna Balaprakash, Ewa Deelman
Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. CoRR (2023)
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, Shantenu Jha, Daniel S. Katz, Piotr Kica, Volodymyr V. Kindratenko, Edward Kirton, Ramani Kothadia, Daniel E. Laney, Fabian Lehmann, Ulf Leser, Sabina Licholai, Maciej Malawski, Mario Melara, Elais Player Jackson, Matthew Rolchigo, Setareh Sarrafan, Seung-Jin Sul, Abdullah Syed, Lauritz Thamsen, Mikhail Titov, Matteo Turilli, Silvina Caíno-Lores, Anirban Mandal
Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. SC Workshops (2023)
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
Graph neural networks for detecting anomalies in scientific workflows. Int. J. High Perform. Comput. Appl. 37 (3-4) (2023)
Nandikanti Siva Sai Syam, Akshay Sunil, Subbarao Pichuka, Anirban Mandal
Assessment of Climate Change Impacts on the Precipitation and Temperature: A Case Study on Krishna River Basin. CoRR (2023)
Alicia Esquivel Morel, Durbek Gafurov, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
Experiments on Network Services for Video Transmission using FABRIC Instrument Resources. INFOCOM Workshops (2023)
Alicia Esquivel Morel, Chengyi Qu, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
FlyNet: Drones on the Horizon. IEEE Internet Comput. 27 (3) (2023)
Alicia Esquivel Morel, Prasad Calyam, Chengyi Qu, Durbek Gafurov, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
Network Services Management using Programmable Data Planes for Visual Cloud Computing. ICNC (2023)
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Ewa Deelman, Prasanna Balaprakash
Self-supervised Learning for Anomaly Detection in Computational Workflows. CoRR (2023)
Angela P. Murillo, Don Brower, Sarowar Hossain, Kerk F. Kee, Anirban Mandal, Jarek Nabrzyski, Erik Scott, Nicole K. Virdone, Rodney Ewing, Ewa Deelman
Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals. PEARC (2023)
Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman
Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. SC Workshops (2023)
Andrew Grote, Eric Lyons, Komal Thareja, George Papadimitriou, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink
FlyPaw: Optimized Route Planning for Scientific UAVMissions. e-Science (2023)
Ishan Abhinit, Emily K. Adams, Khairul Alam, Brian Chase, Ewa Deelman, Lev Gorenstein, Stephen Hudson, Tanzima Z. Islam, Jeffrey Larson, Geoffrey Lentner, Anirban Mandal, John-Luke Navarro, Bogdan Nicolae, Line Pouchard, Robert B. Ross, Banani Roy, Mats Rynge, Alexander Serebrenik, Karan Vahi, Stefan M. Wild, Yufeng Xin, Rafael Ferreira da Silva, Rosa Filgueira
Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC (2022)
Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman
Data Integrity Error Localization in Networked Systems with Missing Data. CoRR (2022)
Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman
Data Integrity Error Localization in Networked Systems with Missing Data. ICC (2022)
Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
Workflow Anomaly Detection with Graph Neural Networks. WORKS@SC (2022)
Ryan Tanaka, George Papadimitriou, Sai Charan Viswanath, Cong Wang, Eric Lyons, Komal Thareja, Chengyi Qu, Alicia Esquivel Morel, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink
Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. CCGRID (2022)
George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal
Fair sharing of network resources among workflow ensembles. Clust. Comput. 25 (4) (2022)
Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman
Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. PEARC (2021)
Eric Lyons, Hakan Saplakoglu, Michael Zink, Komal Thareja, Anirban Mandal, Chengyi Qu, Songjie Wang, Prasad Calyam, George Papadimitriou, Ryan Tanaka, Ewa Deelman
FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications. UCC (2021)
George Papadimitriou, Cong Wang, Karan Vahi, Rafael Ferreira da Silva, Anirban Mandal, Zhengchun Liu, Rajiv Mayani, Mats Rynge, Mariam Kiran, Vickie E. Lynch, Rajkumar Kettimuthu, Ewa Deelman, Jeffrey S. Vetter, Ian T. Foster
End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 117 (2021)
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
Mining Scientific Workflows for Anomalous Data Transfers. CoRR (2021)
Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
Mining Workflows for Anomalous Data Transfers. MSR (2021)
Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ilya Baldin, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman, Ishan Abhinit, Von Welch
Root Cause Analysis of Data Integrity Errors in Networked Systems with Incomplete Information. ICTC (2021)
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, Steve Petruzza, Mats Rynge, Karan Vahi, Wendy R. Whitcup, Josh Drake, Erik Scott
Blueprint: Cyberinfrastructure Center of Excellence. CoRR (2021)
Anirban Mandal, Raffaele Montella
Special issue on workflows in Support of Large-Scale Science. Future Gener. Comput. Syst. 123 (2021)
Eric Lyons, Dong-Jun Seo, Sunghee Kim, Hamideh Habibi, George Papadimitriou, Ryan Tanaka, Ewa Deelman, Michael Zink, Anirban Mandal
Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. e-Science (2021)
Bing Xie, Qiang Cao, Mayuresh Kunjir, Linli Wan, Jeffrey S. Chase, Anirban Mandal, Mats Rynge
WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows. CLUSTER (2021)
Patrycja Krawczuk, George Papadimitriou, Ryan Tanaka, Tu Mai Anh Do, Srujana Subramanya, Shubham Nagarkar, Aditi Jain, Kelsie Lam, Anirban Mandal, Loïc Pottier, Ewa Deelman
A Performance Characterization of Scientific Machine Learning Workflows. WORKS (2021)
Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman
Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP. Mach. Learn. 109 (5) (2020)
Laura Christopherson, Anirban Mandal, Erik Scott, Ilya Baldin
Toward a Data Lifecycle Model for NSF Large Facilities. PEARC (2020)
George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal
Application Aware Software Defined Flows of Workflow Ensembles. INDIS@SC (2020)
Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, Paul Ruth
An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. DDDAS (2020)
Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman
Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. HPEC (2020)
Ewa Deelman, Anirban Mandal, Ming Jiang, Rizos Sakellariou
The role of machine learning in scientific workflows. Int. J. High Perform. Comput. Appl. 33 (6) (2019)
George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman
Training Classifiers to Identify TCP Signatures in Scientific Workflows. INDIS@SC (2019)
Ewa Deelman, Ryan Mitchell, Loïc Pottier, Mats Rynge, Erik Scott, Karan Vahi, Marina Kogan, Jasmine Mann, Tom Gulbransen, Daniel Allen, David Barlow, Anirban Mandal, Santiago Bonarrigo, Chris Clark, Leslie Goldman, Tristan Goulden, Phil Harvey, David Hulsander, Steve Jacobs, Christine Laney, Ivan Lobo-Padilla, Jeremy Sampson, Valerio Pascucci, John Staarmann, Steve Stone, Susan Sons, Jane Wyngaard, Charles Vardeman, Steve Petruzza, Ilya Baldin, Laura Christopherson
Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure. eScience (2019)
Komal Thareja, Cong Wang, Paul Ruth, Anirban Mandal, Ilya Baldin, Michael J. Stealey
COMET: Distributed Metadata Service for Multi-cloud Experiments. ICNP (2019)
Eric Lyons, Anirban Mandal, George Papadimitriou, Cong Wang, Komal Thareja, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink
Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing. eScience (2019)
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
Integrity Protection for Scientific Workflow Data: Motivation and Initial Experiences. PEARC (2019)
Karan Vahi, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons, Michael Zink
Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows. CoRR (2019)
Karan Vahi, Michael Zink, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons
Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows. eScience (2019)
Ewa Deelman, Christopher D. Carothers, Anirban Mandal, Brian Tierney, Jeffrey S. Vetter, Ilya Baldin, Claris Castillo, Gideon Juve, Dariusz Król, Vickie E. Lynch, Benjamin Mayer, Jeremy S. Meredith, Thomas Proffen, Paul Ruth, Rafael Ferreira da Silva
PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows. Int. J. High Perform. Comput. Appl. 31 (1) (2017)
Anirban Mandal, Paul Ruth, Ilya Baldin, Rafael Ferreira da Silva, Ewa Deelman
Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges. eScience (2017)
Yuanjun Yao, Qiang Cao, Jeffrey S. Chase, Paul Ruth, Ilya Baldin, Yufeng Xin, Anirban Mandal
Slice-based network transit service: Inter-domain L2 networking on ExoGENI. INFOCOM Workshops (2017)
Yufeng Xin, Ilya Baldin, Anirban Mandal, Paul Ruth, Jeffrey S. Chase
Towards an Experimental LegoLand: Slice Modification and Recovery in ExoGENI Testbed. TRIDENTCOM (2016)
Anirban Mandal, Paul Ruth, Ilya Baldin, Dariusz Król, Gideon Juve, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Jeremy S. Meredith, Jeffrey S. Vetter, Vickie E. Lynch, Benjamin Mayer, James Wynne, Mark P. Blanco, Christopher D. Carothers, Justin M. LaPre, Brian Tierney
Toward an End-to-End Framework for Modeling, Monitoring and Anomaly Detection for Scientific Workflows. IPDPS Workshops (2016)
Prathamesh Gaikwad, Anirban Mandal, Paul Ruth, Gideon Juve, Dariusz Król, Ewa Deelman
Anomaly detection for scientific workflow applications on networked clouds. HPCS (2016)
Anirban Mandal, Paul Ruth, Ilya Baldin, Yufeng Xin, Claris Castillo, Gideon Juve, Mats Rynge, Ewa Deelman, Jeffrey S. Chase
Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection. UCC (2015)
Fan Jiang, Claris Castillo, Charles Schmitt, Anirban Mandal, Paul Ruth, Ilya Baldin
Enabling workflow repeatability with virtualization support. WORKS@SC (2015)
Paul Ruth, Anirban Mandal, Claris Castillo, Robert J. Fowler, Jeffrey L. Tilson, Ilya Baldin, Yufeng Xin
Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms. ScienceCloud@HPDC (2015)
Yufeng Xin, Ilya Baldin, Chris Heermann, Anirban Mandal, Paul Ruth
Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service. International Teletraffic Congress (2014)
Anirban Mandal, Ilya Baldin, Yufeng Xin, Paul Ruth, Chris Heermann
Enabling persistent queries for cross-aggregate performance monitoring. IEEE Commun. Mag. 52 (5) (2014)
Paul Ruth, Anirban Mandal
Domain Science Applications on GENI: Presentation and Demo. ICNP (2014)
Yufeng Xin, Ilya Baldin, Chris Heermann, Anirban Mandal, Paul Ruth
Capacity of inter-cloud layer-2 virtual networking. DCC@SIGCOMM (2014)
Anirban Mandal, Paul Ruth, Ilya Baldin, Yufeng Xin, Claris Castillo, Mats Rynge, Ewa Deelman
Leveraging and Adapting ExoGENI Infrastructure for Data-Driven Domain Science Workflows. GREE (2014)
Anirban Mandal, Paul Ruth, Ilya Baldin, Yufeng Xin, Claris Castillo, Mats Rynge, Ewa Deelman
Evaluating I/O aware network management for scientific workflows on networked clouds. NDM@SC (2013)
Ranjit Kumar Barai, Pankaj Saha, Anirban Mandal
SMART-HexBot: a Simulation, Modeling, Analysis and Research Tool for Hexapod Robot in Virtual Reality and Simulink. AIR (2013)
Paul Ruth, Anirban Mandal, Yufeng Xin, Ilia Baldine, Chris Heermann, Jeffrey S. Chase
Dynamic network provisioning for data intensive applications in the cloud. eScience (2012)
Ilia Baldine, Yufeng Xin, Anirban Mandal, Paul Ruth, Chris Heermann, Jeffrey S. Chase
ExoGENI: A Multi-domain Infrastructure-as-a-Service Testbed. TRIDENTCOM (2012)
Anirban Mandal, Yufeng Xin, Ilia Baldine, Paul Ruth, Chris Heermann, Jeffrey S. Chase, Victor Orlikowski, Aydan Yumerefendi
Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications. CloudCom (2011)
Yufeng Xin, Ilia Baldine, Anirban Mandal, Chris Heermann, Jeffrey S. Chase, Aydan Yumerefendi
Embedding virtual topologies in networked clouds. CFI (2011)
Anirban Mandal, Rob Fowler, Allan Porterfield
Modeling memory concurrency for multi-socket multi-core systems. ISPASS (2010)
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
VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance. SC (2009)
Yang Zhang, Anirban Mandal, Charles Koelbel, Keith D. Cooper
Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids. CCGRID (2009)
Gopi Kandaswamy, Anirban Mandal, Daniel A. Reed
Fault Tolerance and Recovery of Scientific Workflows on Computational Grids. CCGRID (2008)
Daniel Nurmi, Anirban Mandal, John Brevik, Chuck Koelbel, Richard Wolski, Ken Kennedy
Grid scheduling and protocols - Evaluation of a workflow scheduler using integrated performance modelling and batch queue wait time prediction. SC (2006)
Yang Zhang, Anirban Mandal, Henri Casanova, Andrew A. Chien, Yang-Suk Kee, Ken Kennedy, Charles Koelbel
Scalable Grid Application Scheduling via Decoupled Resource Selection and Scheduling. CCGRID (2006)
Robert J. Fowler, Todd Gamblin, Gopi Kandaswamy, Anirban Mandal, Allan Porterfield, Lavanya Ramakrishnan, Daniel A. Reed
Challenges of Scale: When All Computing Becomes Grid Computing. High Performance Computing Workshop (2006)
James Blythe, S. Jain, Ewa Deelman, Yolanda Gil, Karan Vahi, Anirban Mandal, Ken Kennedy
Task scheduling strategies for workflow-based applications in grids. CCGRID (2005)
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, Xin Liu, Anirban Mandal, Gabriel Marin, Mark Mazina, John M. Mellor-Crummey, Celso L. Mendes, Alex Olugbile, M. Patel, Daniel A. Reed, Zhiao Shi, Otto Sievert, Huaxia Xia, Asim YarKhan
New Grid Scheduling and Rescheduling Methods in the GrADS Project. Int. J. Parallel Program. 33 (2-3) (2005)
Anirban Mandal, Ken Kennedy, Charles Koelbel, Gabriel Marin, John M. Mellor-Crummey, Bo Liu, S. Lennart Johnsson
Scheduling strategies for mapping application workflows onto the grid. HPDC (2005)
Keith D. Cooper, Anshuman Dasgupta, Ken Kennedy, Charles Koelbel, Anirban Mandal, Gabriel Marin, Mark Mazina, John M. Mellor-Crummey, Francine Berman, Henri Casanova, Andrew A. Chien, Holly Dail, Xin Liu, Alex Olugbile, Otto Sievert, Huaxia Xia, S. Lennart Johnsson, Bo Liu, M. Patel, Daniel A. Reed, W. Deng, Celso L. Mendes, Zhiao Shi, Asim YarKhan, Jack J. Dongarra
New Grid Scheduling and Rescheduling Methods in the GrADS Project. IPDPS Next Generation Software Program - NSFNGS - PI Workshop (2004)
Anirban Mandal, Anshuman Dasgupta, Ken Kennedy, Mark Mazina, Charles Koelbel, Gabriel Marin, Keith D. Cooper, John M. Mellor-Crummey, Bo Liu, S. Lennart Johnsson
Scheduling workflow applications in GrADS. CCGRID (2004)