| Twister: a runtime for iterative mapreduce J Ekanayake, H Li, B Zhang, T Gunarathne, SH Bae, J Qiu, G Fox Proceedings of the 19th ACM international symposium on high performance …, 2010 | 1286 | 2010 |
| Mapreduce for data intensive scientific analyses J Ekanayake, S Pallickara, G Fox 2008 IEEE Fourth International Conference on eScience, 277-284, 2008 | 608 | 2008 |
| Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing LZ Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, and Jingren Zhou ... 11th USENIX Symposium on Operating Systems Design and Implementation, 285-300, 2014 | 514* | 2014 |
| High performance parallel computing with clouds and cloud technologies J Ekanayake, G Fox Cloud Computing: First International Conference, CloudComp 2009 Munich …, 2010 | 322 | 2010 |
| Axis2, middleware for next generation web services S Perera, C Herath, J Ekanayake, E Chinthaka, A Ranabahu, ... 2006 IEEE International Conference on Web Services (ICWS'06), 833-840, 2006 | 139 | 2006 |
| Cloud technologies for bioinformatics applications J Ekanayake, T Gunarathne, J Qiu IEEE Transactions on parallel and distributed systems 22 (6), 998-1011, 2010 | 132 | 2010 |
| Cloud technologies for bioinformatics applications X Qiu, J Ekanayake, S Beason, T Gunarathne, G Fox, R Barga, D Gannon Proceedings of the 2nd Workshop on Many-Task Computing on Grids and …, 2009 | 111 | 2009 |
| Hybrid cloud and cluster computing paradigms for life science applications J Qiu, J Ekanayake, T Gunarathne, JY Choi, SH Bae, H Li, B Zhang, ... BMC bioinformatics 11, 1-6, 2010 | 102 | 2010 |
| Granules: A lightweight, streaming runtime for cloud computing with support, for map-reduce S Pallickara, J Ekanayake, G Fox 2009 IEEE International Conference on Cluster Computing and Workshops, 1-10, 2009 | 98 | 2009 |
| Job scheduling using expected server performance information E Boutin, J Ekanayake, W Lin, B Shi, J Zhou US Patent 9,442,760, 2016 | 73 | 2016 |
| Dryadlinq for scientific analyses J Ekanayake, T Gunarathne, G Fox, AS Balkir, C Poulain, N Araujo, ... 2009 Fifth IEEE international conference on e-science, 329-336, 2009 | 61 | 2009 |
| CBR based workflow composition assistant E Chinthaka, J Ekanayake, D Leake, B Plale 2009 Congress on Services-I, 352-355, 2009 | 59 | 2009 |
| Parallel data mining from multicore to cloudy grids G Fox, SH Bae, J Ekanayake, X Qiu, H Yuan High Speed and Large Scale Scientific Computing, 311-340, 2009 | 54 | 2009 |
| Performing large science experiments on azure: Pitfalls and solutions W Lu, J Jackson, J Ekanayake, RS Barga, N Araujo 2010 IEEE Second International Conference on Cloud Computing Technology and …, 2010 | 46 | 2010 |
| Project Daytona: Data analytics as a cloud service RS Barga, J Ekanayake, W Lu 2012 IEEE 28th International Conference on Data Engineering, 1317-1320, 2012 | 42 | 2012 |
| Biomedical case studies in data intensive computing G Fox, X Qiu, S Beason, J Choi, J Ekanayake, T Gunarathne, M Rho, ... IEEE International Conference on Cloud Computing, 2-18, 2009 | 38 | 2009 |
| An overview of the granules runtime for cloud computing S Pallickara, J Ekanayake, G Fox 2008 IEEE Fourth International Conference on eScience, 412-413, 2008 | 36 | 2008 |
| Data intensive computing for bioinformatics J Qiu, J Ekanayake, T Gunarathne, JY Choi, SH Bae, Y Ruan, ... Data Intensive Distributed Computing: Challenges and Solutions for Large …, 2012 | 24 | 2012 |
| Applicability of DryadLINQ to scientific applications J Ekanayake, T Gunarathne, J Qiu, G Fox, S Beason, JY Choi, Y Ruan, ... Community Grids Laboratory, Indiana University, 2010 | 18 | 2010 |
| A scalable approach for the secure and authorized tracking of the availability of entities in distributed systems S Pallickara, J Ekanayake, G Fox 2007 IEEE International Parallel and Distributed Processing Symposium, 1-10, 2007 | 18 | 2007 |
