Anirban Mandal

87 papers A 6B 12C 2Misc 8Journal 25Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	Misc	`conf`	BBRv3 Startup Behavior: Analysis and Fairness Enhancements. ICNC Imtiaz Mahmud, Kesheng Wu, Alex Sim, Anirban Mandal, Ewa Deelman
2026	J	`jnl`	SWARM+: Scalable and Resilient Multi-Agent Consensus for Fully-Decentralized Data-Aware Workload Management. CoRR Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman
2026	Misc	`conf`	Validating TCP Behavior in DISTRI: A Comparison of Simulated and Real-World Network Performance for Distributed Computing. ICNC Imtiaz Mahmud, Kesheng Wu, Alex Sim, Anirban Mandal, Ewa Deelman
2025	J	`jnl`	Advancing anomaly detection in computational workflows with active learning. Future Gener. Comput. Syst. Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
2025	J	`jnl`	AeroResQ: Edge-Accelerated UAV Framework for Scalable, Resilient and Collaborative Escape Route Planning in Wildfire Scenarios. CoRR Suman Raj, Radhika Mittal, Rajiv Mayani, Pawel Zuk, Anirban Mandal, Michael Zink, Yogesh Simmhan, Ewa Deelman
2025	J	`jnl`	Detecting weighted hidden cliques. CoRR Urmisha Chatterjee, Karissa Huang, Ritabrata Karmakar, B. R. Vinay Kumar, Gábor Lugosi, Nandan Malhotra, Anirban Mandal, Maruf Alam Tarafdar
2025	J	`jnl`	SWARM: Reimagining scientific workflow management systems in a distributed world. Int. J. High Perform. Comput. Appl. Prasanna Balaprakash, Krishnan Raghavan, Franck Cappello, Ewa Deelman, Anirban Mandal, Hongwei Jin, Imtiaz Mahmud, Komal Thareja, Shixun Wu, Pawel Zuk, Mariam Kiran, Zizhong Chen, Sheng Di, Kesheng Wu
2025	J	`jnl`	Ship-to-Shore Network Monitoring: The Research Vessel Sikuliaq Experience. IEEE Internet Comput. Komal Thareja, Anirban Mandal, Julian Race, Paul Ruth, Christopher Romsos, Ewa Deelman
2024	—	`conf`	(POSTER) Network Testbed for Experimenting With Decentralized Federated Learning. DCOSS-IoT Anirban Mandal, Komal Thareja, Paul Ruth
2024	J	`jnl`	Advancing Anomaly Detection in Computational Workflows with Active Learning. CoRR Krishnan Raghavan, George Papadimitriou, Hongwei Jin, Anirban Mandal, Mariam Kiran, Prasanna Balaprakash, Ewa Deelman
2024	B	`conf`	DISTRI: Development and Integration of Simulation Tools for Resilient Infrastructure. IEEE Big Data Imtiaz Mahmud, Pawel Zuk, Cong Wang, Mariam Kiran, Kesheng Wu, Komal Thareja, Krishnan Raghavan, Anirban Mandal, Ewa Deelman
2024	A	`conf`	Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. SC Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman
2024	J	`jnl`	Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning. CoRR Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman
2023	J	`jnl`	Assessment of Climate Change Impacts on the Precipitation and Temperature: A Case Study on Krishna River Basin. CoRR Nandikanti Siva Sai Syam, Akshay Sunil, Subbarao Pichuka, Anirban Mandal
2023	—	`conf`	Broadening Student Engagement To Build the Next Generation of Cyberinfrastructure Professionals. PEARC Angela P. Murillo, Don Brower, Sarowar Hossain, Kerk F. Kee, Anirban Mandal, Jarek Nabrzyski, Erik Scott, Nicole K. Virdone, Rodney Ewing, Ewa Deelman
2023	—	`conf`	Elephants Sharing the Highway: Studying TCP Fairness in Large Transfers over High Throughput Links. SC Workshops Imtiaz Mahmud, George Papadimitriou, Cong Wang, Mariam Kiran, Anirban Mandal, Ewa Deelman
2023	—	`conf`	Experiments on Network Services for Video Transmission using FABRIC Instrument Resources. INFOCOM Workshops Alicia Esquivel Morel, Durbek Gafurov, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
2023	J	`jnl`	Flow-Bench: A Dataset for Computational Workflow Anomaly Detection. CoRR George Papadimitriou, Hongwei Jin, Cong Wang, Krishnan Raghavan, Anirban Mandal, Prasanna Balaprakash, Ewa Deelman
2023	J	`jnl`	FlyNet: Drones on the Horizon. IEEE Internet Comput. Alicia Esquivel Morel, Chengyi Qu, Prasad Calyam, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
2023	B	`conf`	FlyPaw: Optimized Route Planning for Scientific UAVMissions. e-Science Andrew Grote, Eric Lyons, Komal Thareja, George Papadimitriou, Ewa Deelman, Anirban Mandal, Prasad Calyam, Michael Zink
2023	J	`jnl`	Graph neural networks for detecting anomalies in scientific workflows. Int. J. High Perform. Comput. Appl. Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
2023	Misc	`conf`	Network Services Management using Programmable Data Planes for Visual Cloud Computing. ICNC Alicia Esquivel Morel, Prasad Calyam, Chengyi Qu, Durbek Gafurov, Cong Wang, Komal Thareja, Anirban Mandal, Eric Lyons, Michael Zink, George Papadimitriou, Ewa Deelman
2023	—	`conf`	Novel Approaches Toward Scalable Composable Workflows in Hyper-Heterogeneous Computing Environments. SC Workshops 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
2023	J	`jnl`	Self-supervised Learning for Anomaly Detection in Computational Workflows. CoRR Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Ewa Deelman, Prasanna Balaprakash
2022	B	`conf`	Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus. CCGRID 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
2022	—	`conf`	Data Integrity Error Localization in Networked Systems with Missing Data. ICC Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman
2022	J	`jnl`	Data Integrity Error Localization in Networked Systems with Missing Data. CoRR Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman
2022	J	`jnl`	Fair sharing of network resources among workflow ensembles. Clust. Comput. George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal
2022	—	`conf`	Novel Proposals for FAIR, Automated, Recommendable, and Robust Workflows. WORKS@SC 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
2022	—	`conf`	Workflow Anomaly Detection with Graph Neural Networks. WORKS@SC Hongwei Jin, Krishnan Raghavan, George Papadimitriou, Cong Wang, Anirban Mandal, Patrycja Krawczuk, Loïc Pottier, Mariam Kiran, Ewa Deelman, Prasanna Balaprakash
2021	—	`conf`	A Performance Characterization of Scientific Machine Learning Workflows. WORKS Patrycja Krawczuk, George Papadimitriou, Ryan Tanaka, Tu Mai Anh Do, Srujana Subramanya, Shubham Nagarkar, Aditi Jain, Kelsie Lam, Anirban Mandal, Loïc Pottier, Ewa Deelman
2021	—	`conf`	Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks. PEARC Patrycja Krawczuk, George Papadimitriou, Shubham Nagarkar, Mariam Kiran, Anirban Mandal, Ewa Deelman
2021	J	`jnl`	Blueprint: Cyberinfrastructure Center of Excellence. CoRR 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
2021	J	`jnl`	End-to-end online performance data capture and analysis for scientific workflows. Future Gener. Comput. Syst. 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
2021	Misc	`conf`	FlyNet: a platform to support scientific workflows from the edge to the core for UAV applications. UCC Eric Lyons, Hakan Saplakoglu, Michael Zink, Komal Thareja, Anirban Mandal, Chengyi Qu, Songjie Wang, Prasad Calyam, George Papadimitriou, Ryan Tanaka, Ewa Deelman
2021	J	`jnl`	Mining Scientific Workflows for Anomalous Data Transfers. CoRR Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021	A	`conf`	Mining Workflows for Anomalous Data Transfers. MSR Huy Tu, George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman, Tim Menzies
2021	B	`conf`	Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing. e-Science Eric Lyons, Dong-Jun Seo, Sunghee Kim, Hamideh Habibi, George Papadimitriou, Ryan Tanaka, Ewa Deelman, Michael Zink, Anirban Mandal
2021	—	`conf`	Root Cause Analysis of Data Integrity Errors in Networked Systems with Incomplete Information. ICTC Yufeng Xin, Shih-Wen Fu, Anirban Mandal, Ilya Baldin, Ryan Tanaka, Mats Rynge, Karan Vahi, Ewa Deelman, Ishan Abhinit, Von Welch
2021	J	`jnl`	Special issue on workflows in Support of Large-Scale Science. Future Gener. Comput. Syst. Anirban Mandal, Raffaele Montella
2021	C	`conf`	WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows. CLUSTER Bing Xie, Qiang Cao, Mayuresh Kunjir, Linli Wan, Jeffrey S. Chase, Anirban Mandal, Mats Rynge
2020	—	`conf`	An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. DDDAS Eric Lyons, David Westbrook, Andrew Grote, George Papadimitriou, Komal Thareja, Cong Wang, Michael Zink, Ewa Deelman, Anirban Mandal, Paul Ruth
2020	—	`conf`	Application Aware Software Defined Flows of Workflow Ensembles. INDIS@SC George Papadimitriou, Eric Lyons, Cong Wang, Komal Thareja, Ryan Tanaka, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink, Anirban Mandal
2020	J	`jnl`	Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP. Mach. Learn. Mariam Kiran, Cong Wang, George Papadimitriou, Anirban Mandal, Ewa Deelman
2020	—	`conf`	Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques. HPEC Cong Wang, George Papadimitriou, Mariam Kiran, Anirban Mandal, Ewa Deelman
2020	—	`conf`	Toward a Data Lifecycle Model for NSF Large Facilities. PEARC Laura Christopherson, Anirban Mandal, Erik Scott, Ilya Baldin
2019	B	`conf`	COMET: Distributed Metadata Service for Multi-cloud Experiments. ICNP Komal Thareja, Cong Wang, Paul Ruth, Anirban Mandal, Ilya Baldin, Michael J. Stealey
2019	—	`conf`	Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows. eScience Karan Vahi, Michael Zink, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons
2019	J	`jnl`	Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows. CoRR Karan Vahi, Mats Rynge, George Papadimitriou, Duncan A. Brown, Rajiv Mayani, Rafael Ferreira da Silva, Ewa Deelman, Anirban Mandal, Eric Lyons, Michael Zink
2019	—	`conf`	Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure. eScience 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
2019	—	`conf`	Integrity Protection for Scientific Workflow Data: Motivation and Initial Experiences. PEARC 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
2019	J	`jnl`	The role of machine learning in scientific workflows. Int. J. High Perform. Comput. Appl. Ewa Deelman, Anirban Mandal, Ming Jiang, Rizos Sakellariou
2019	—	`conf`	Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing. eScience Eric Lyons, Anirban Mandal, George Papadimitriou, Cong Wang, Komal Thareja, Paul Ruth, Juan J. Villalobos, Ivan Rodero, Ewa Deelman, Michael Zink
2019	—	`conf`	Training Classifiers to Identify TCP Signatures in Scientific Workflows. INDIS@SC George Papadimitriou, Mariam Kiran, Cong Wang, Anirban Mandal, Ewa Deelman
2017	J	`jnl`	PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows. Int. J. High Perform. Comput. Appl. 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
2017	—	`conf`	Slice-based network transit service: Inter-domain L2 networking on ExoGENI. INFOCOM Workshops Yuanjun Yao, Qiang Cao, Jeffrey S. Chase, Paul Ruth, Ilya Baldin, Yufeng Xin, Anirban Mandal
2017	—	`conf`	Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges. eScience Anirban Mandal, Paul Ruth, Ilya Baldin, Rafael Ferreira da Silva, Ewa Deelman
2016	—	`conf`	Anomaly detection for scientific workflow applications on networked clouds. HPCS Prathamesh Gaikwad, Anirban Mandal, Paul Ruth, Gideon Juve, Dariusz Król, Ewa Deelman
2016	—	`ch.`	ExoGENI: A Multi-Domain Infrastructure-as-a-Service Testbed. The GENI Book Ilya Baldin, Jeffrey S. Chase, Yufeng Xin, Anirban Mandal, Paul Ruth, Claris Castillo, Victor Orlikowski, Chris Heermann, Jonathan Mills
2016	—	`conf`	Toward an End-to-End Framework for Modeling, Monitoring and Anomaly Detection for Scientific Workflows. IPDPS Workshops 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
2016	Misc	`conf`	Towards an Experimental LegoLand: Slice Modification and Recovery in ExoGENI Testbed. TRIDENTCOM Yufeng Xin, Ilya Baldin, Anirban Mandal, Paul Ruth, Jeffrey S. Chase
2015	—	`conf`	Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms. ScienceCloud@HPDC Paul Ruth, Anirban Mandal, Claris Castillo, Robert J. Fowler, Jeffrey L. Tilson, Ilya Baldin, Yufeng Xin
2015	Misc	`conf`	Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection. UCC Anirban Mandal, Paul Ruth, Ilya Baldin, Yufeng Xin, Claris Castillo, Gideon Juve, Mats Rynge, Ewa Deelman, Jeffrey S. Chase
2015	—	`conf`	Enabling workflow repeatability with virtualization support. WORKS@SC Fan Jiang, Claris Castillo, Charles Schmitt, Anirban Mandal, Paul Ruth, Ilya Baldin
2014	—	`conf`	Capacity of inter-cloud layer-2 virtual networking. DCC@SIGCOMM Yufeng Xin, Ilya Baldin, Chris Heermann, Anirban Mandal, Paul Ruth
2014	B	`conf`	Domain Science Applications on GENI: Presentation and Demo. ICNP Paul Ruth, Anirban Mandal
2014	J	`jnl`	Enabling persistent queries for cross-aggregate performance monitoring. IEEE Commun. Mag. Anirban Mandal, Ilya Baldin, Yufeng Xin, Paul Ruth, Chris Heermann
2014	—	`conf`	Leveraging and Adapting ExoGENI Infrastructure for Data-Driven Domain Science Workflows. GREE Anirban Mandal, Paul Ruth, Ilya Baldin, Yufeng Xin, Claris Castillo, Mats Rynge, Ewa Deelman
2014	A	`conf`	Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service. ITC Yufeng Xin, Ilya Baldin, Chris Heermann, Anirban Mandal, Paul Ruth
2013	—	`conf`	Evaluating I/O aware network management for scientific workflows on networked clouds. NDM@SC Anirban Mandal, Paul Ruth, Ilya Baldin, Yufeng Xin, Claris Castillo, Mats Rynge, Ewa Deelman
2013	—	`conf`	SMART-HexBot: a Simulation, Modeling, Analysis and Research Tool for Hexapod Robot in Virtual Reality and Simulink. AIR Ranjit Kumar Barai, Pankaj Saha, Anirban Mandal
2012	—	`conf`	Dynamic network provisioning for data intensive applications in the cloud. eScience Paul Ruth, Anirban Mandal, Yufeng Xin, Ilia Baldine, Chris Heermann, Jeffrey S. Chase
2012	Misc	`conf`	ExoGENI: A Multi-domain Infrastructure-as-a-Service Testbed. TRIDENTCOM Ilia Baldine, Yufeng Xin, Anirban Mandal, Paul Ruth, Chris Heermann, Jeffrey S. Chase
2011	—	`conf`	Embedding virtual topologies in networked clouds. CFI Yufeng Xin, Ilia Baldine, Anirban Mandal, Chris Heermann, Jeffrey S. Chase, Aydan R. Yumerefendi
2011	C	`conf`	Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications. CloudCom Anirban Mandal, Yufeng Xin, Ilia Baldine, Paul Ruth, Chris Heermann, Jeffrey S. Chase, Victor Orlikowski, Aydan R. Yumerefendi
2010	B	`conf`	Modeling memory concurrency for multi-socket multi-core systems. ISPASS Anirban Mandal, Rob Fowler, Allan Porterfield
2009	B	`conf`	Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids. CCGRID Yang Zhang, Anirban Mandal, Charles Koelbel, Keith D. Cooper
2009	A	`conf`	VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance. SC 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
2008	B	`conf`	Fault Tolerance and Recovery of Scientific Workflows on Computational Grids. CCGRID Gopi Kandaswamy, Anirban Mandal, Daniel A. Reed
2006	Misc	`conf`	Challenges of Scale: When All Computing Becomes Grid Computing. High Performance Computing Workshop Robert J. Fowler, Todd Gamblin, Gopi Kandaswamy, Anirban Mandal, Allan Porterfield, Lavanya Ramakrishnan, Daniel A. Reed
2006	A	`conf`	Grid scheduling and protocols - Evaluation of a workflow scheduler using integrated performance modelling and batch queue wait time prediction. SC Daniel Nurmi, Anirban Mandal, John Brevik, Chuck Koelbel, Richard Wolski, Ken Kennedy
2006	B	`conf`	Scalable Grid Application Scheduling via Decoupled Resource Selection and Scheduling. CCGRID Yang Zhang, Anirban Mandal, Henri Casanova, Andrew A. Chien, Yang-Suk Kee, Ken Kennedy, Charles Koelbel
2005	J	`jnl`	New Grid Scheduling and Rescheduling Methods in the GrADS Project. Int. J. Parallel Program. 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
2005	A	`conf`	Scheduling strategies for mapping application workflows onto the grid. HPDC Anirban Mandal, Ken Kennedy, Charles Koelbel, Gabriel Marin, John M. Mellor-Crummey, Bo Liu, S. Lennart Johnsson
2005	B	`conf`	Task scheduling strategies for workflow-based applications in grids. CCGRID James Blythe, S. Jain, Ewa Deelman, Yolanda Gil, Karan Vahi, Anirban Mandal, Ken Kennedy
2004	—	`conf`	New Grid Scheduling and Rescheduling Methods in the GrADS Project. IPDPS Next Generation Software Program - NSFNGS - PI Workshop 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
2004	B	`conf`	Scheduling workflow applications in GrADS. CCGRID Anirban Mandal, Anshuman Dasgupta, Ken Kennedy, Mark Mazina, Charles Koelbel, Gabriel Marin, Keith D. Cooper, John M. Mellor-Crummey, Bo Liu, S. Lennart Johnsson