| Task scheduling strategies for workflow-based applications in grids J Blythe, S Jain, E Deelman, Y Gil, K Vahi, A Mandal, K Kennedy CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid …, 2005 | 520 | 2005 |
| Scheduling strategies for mapping application workflows onto the grid A Mandal, K Kennedy, C Koelbel, G Marin, J Mellor-Crummey, B Liu, ... HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance …, 2005 | 256 | 2005 |
| New grid scheduling and rescheduling methods in the GrADS project F Berman, H Casanova, A Chien, K Cooper, H Dail, A Dasgupta, W Deng, ... International Journal of Parallel Programming 33 (2), 209-229, 2005 | 201 | 2005 |
| Exogeni: A multi-domain infrastructure-as-a-service testbed I Baldin, J Chase, Y Xin, A Mandal, P Ruth, C Castillo, V Orlikowski, ... The GENI Book, 279-315, 2016 | 172 | 2016 |
| New grid scheduling and rescheduling methods in the GrADS project K Cooper, A Dasgupta, K Kennedy, C Koelbel, A Mandal, G Marin, ... 18th International Parallel and Distributed Processing Symposium, 2004 …, 2004 | 156 | 2004 |
| Fault tolerance and recovery of scientific workflows on computational grids G Kandaswamy, A Mandal, DA Reed 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid …, 2008 | 126 | 2008 |
| VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance L Ramakrishnan, C Koelbel, YS Kee, R Wolski, D Nurmi, D Gannon, ... High Performance Computing Networking, Storage and Analysis, Proceedings of …, 2009 | 122 | 2009 |
| Embedding virtual topologies in networked clouds Y Xin, I Baldine, A Mandal, C Heermann, J Chase, A Yumerefendi Proceedings of the 6th international conference on future internet …, 2011 | 102 | 2011 |
| Evaluation of a workflow scheduler using integrated performance modelling and batch queue wait time prediction D Nurmi, A Mandal, J Brevik, C Koelbel, R Wolski, K Kennedy Proceedings of the 2006 ACM/IEEE conference on Supercomputing, 119-es, 2006 | 89 | 2006 |
| Combined fault tolerance and scheduling techniques for workflow applications on computational grids Y Zhang, A Mandal, C Koelbel, K Cooper 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid …, 2009 | 78 | 2009 |
| Networked cloud orchestration: A geni perspective I Baldine, Y Xin, A Mandal, CH Renci, UCJ Chase, V Marupadi, ... 2010 IEEE Globecom Workshops, 573-578, 2010 | 69 | 2010 |
| Modeling memory concurrency for multi-socket multi-core systems A Mandal, R Fowler, A Porterfield 2010 IEEE International Symposium on Performance Analysis of Systems …, 2010 | 54 | 2010 |
| The role of machine learning in scientific workflows E Deelman, A Mandal, M Jiang, R Sakellariou The International Journal of High Performance Computing Applications 33 (6 …, 2019 | 48 | 2019 |
| PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows E Deelman, C Carothers, A Mandal, B Tierney, JS Vetter, I Baldin, ... The International Journal of High Performance Computing Applications 31 (1 …, 2017 | 48 | 2017 |
| Anomaly detection for scientific workflow applications on networked clouds P Gaikwad, A Mandal, P Ruth, G Juve, D Król, E Deelman 2016 International Conference on High Performance Computing & Simulation …, 2016 | 43 | 2016 |
| Provisioning and evaluating multi-domain networked clouds for hadoop-based applications A Mandal, Y Xin, I Baldine, P Ruth, C Heerman, J Chase, V Orlikowski, ... 2011 IEEE third international conference on cloud computing technology and …, 2011 | 42 | 2011 |
| Scalable grid application scheduling via decoupled resource selection and scheduling Y Zhang, A Mandal, H Casanova, AA Chien, YS Kee, K Kennedy, ... Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID …, 2006 | 29 | 2006 |
| End-to-end online performance data capture and analysis for scientific workflows G Papadimitriou, C Wang, K Vahi, RF da Silva, A Mandal, Z Liu, R Mayani, ... Future Generation Computer Systems 117, 387-400, 2021 | 25 | 2021 |
| 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, JJ Villalobos, ... 2019 15th International Conference on eScience (eScience), 67-76, 2019 | 23 | 2019 |
| Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP M Kiran, C Wang, G Papadimitriou, A Mandal, E Deelman Machine Learning 109 (5), 1127-1143, 2020 | 22 | 2020 |
Ewa DeelmanUniversity of Southern California, Information Sciences InstituteVerified email at isi.edu
