Jaliya Ekanayake
Jaliya Ekanayake
Engineering Manager, Google
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Cited by
Cited by
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
Mapreduce for data intensive scientific analyses
J Ekanayake, S Pallickara, G Fox
2008 IEEE Fourth International Conference on eScience, 277-284, 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
High performance parallel computing with clouds and cloud technologies
J Ekanayake, G Fox
Cloud Computing: First International Conference, CloudComp 2009 Munich …, 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
Cloud technologies for bioinformatics applications
J Ekanayake, T Gunarathne, J Qiu
IEEE Transactions on parallel and distributed systems 22 (6), 998-1011, 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
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
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
Job scheduling using expected server performance information
E Boutin, J Ekanayake, W Lin, B Shi, J Zhou
US Patent 9,442,760, 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
CBR based workflow composition assistant
E Chinthaka, J Ekanayake, D Leake, B Plale
2009 Congress on Services-I, 352-355, 2009
Parallel data mining from multicore to cloudy grids
G Fox, SH Bae, J Ekanayake, X Qiu, H Yuan
High Performance Computing Workshop 18, 311-340, 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
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
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
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
Data intensive computing for bioinformatics
J Qiu, J Ekanayake, T Gunarathne, JY Choi, SH Bae, Y Ruan, ...
Bioinformatics: Concepts, Methodologies, Tools, and Applications, 287-321, 2013
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
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
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