Publications

Export 14 results:
2019
E. Deelman, A. Mandal, M. Jiang, and R. Sakellariou, "The role of machine learning in scientific workflows", The International Journal of High Performance Computing Applications, 2019.
2017
A. Mandal, P. Ruth, I. Baldin, R. F. da Silva, and E. Deelman, "Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges", First International Workshop on Workflow Science (WoWS 2017), 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. F. da Silva, "PANORAMA: An Approach to Performance Modeling and Diagnosis of Extreme Scale Workflows", International Journal of High Performance Computing Applications, vol. 31, no. 1, pp. 4–18, 2017.
2016
P. Gaikwad, A. Mandal, P. Ruth, G. Juve, D. Krol, and E. Deelman, "Anomaly Detection for Scientific Workflow Applications on Networked Clouds", IEEE 2016 International Conference on High Performance Computing & Simulation (HPCS 2016), 2016.
A. Mandal, P. Ruth, I. Baldin, D. Król, G. Juve, R. Mayani, R. F. da Silva, E. Deelman, J. S. Meredith, J. S. Vetter, V. E. Lynch, B. Mayer, J. Wynne, M. P. Blanco, C. D. Carothers, J. M. LaPre, and B. Tierney, "Toward an End-to-End Framework for Modeling, Monitoring and Anomaly Detection for Scientific Workflows", 2016 {IEEE} International Parallel and Distributed Processing Symposium Workshops, {IPDPS} Workshops 2016, Chicago, IL, USA, May 23-27, 2016, pp. 1370–1379, 2016.
A. Mandal, P. Ruth, I. Baldin, D. Krol, G. Juve, R. Mayani, R. F. 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", {Workshop on Large-Scale Parallel Processing (LSPP 2016)}, pp. 1370–1379, 2016.
A. Mandal, P. Ruth, I. Baldin, D. Krol, G. Juve, R. Mayani, R. F. 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 and End-to-end Framework for Modeling, Monitoring, and Anomaly Detection for Scientific Workflows", {Workshop on Large-Scale Parallel Processing (LSPP 2016)}, pp. 1370–1379, 2016.
2015
A. Mandal, P. Ruth, I. Baldin, Y. Xin, C. Castillo, G. Juve, M. Rynge, E. Deelman, and J. Chase, "Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection", {IEEE/ACM Utility and Cloud Computing (UCC)}, 2015.
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. F. da Silva, "Panorama: Modeling The Performance of Scientific Workflows", Workshop on Modeling and Simulation of Systems and Applications ({ModSim} 2015), 2015.
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. F. da Silva, "PANORAMA: An Approach to Performance Modeling and Diagnosis of Extreme Scale Workflows", International Journal of High Performance Computing Applications, vol. to appear, 2015.
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", The 3rd International Workshop on Network-aware Data Management, in conjunction with SC13, 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", Proceedings of the Third International Workshop on Network-Aware Data Management: ACM, pp. 2, 2013.
2005
J. Blythe, S. Jain, E. Deelman, Y. Gil, K. Vahi, A. Mandal, and K. Kennedy, "Task Scheduling Strategies for Workflow-based Applications in Grids", CCGrid 2005, 2005.
J. Blythe, S. Jain, E. Deelman, Y. Gil, K. Vahi, A. Mandal, and K. Kennedy, "Task scheduling strategies for workflow-based applications in grids", 5th International Symposium on Cluster Computing and the Grid (CCGrid 2005), 9-12 May, 2005, Cardiff, {UK}, pp. 759–767, 2005.