Services + Components = Data Intensive Scientific Workflow Applications with MeDICi
CBSE '09 Proceedings of the 12th International Symposium on Component-Based Software Engineering
DisTec: Towards a Distributed System for Telecom Computing
CloudCom '09 Proceedings of the 1st International Conference on Cloud Computing
Efficient pipelined architecture for competitive learning
Journal of Parallel and Distributed Computing
Prototyping an online wetland ecosystem services model using open model sharing standards
Environmental Modelling & Software
A MapReduce workflow system for architecting scientific data intensive applications
Proceedings of the 2nd International Workshop on Software Engineering for Cloud Computing
Data-Intensive Cloud Computing: Requirements, Expectations, Challenges, and Solutions
Journal of Grid Computing
Hi-index | 4.10 |
Through the development of new classes of software, algorithms, and hardware, data-intensive applications provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements.