Cloud-based Workflow Management for Data Intensive Applications





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Published on Nov 9, 2010

This project is part of my PhD candidature where a prototype implementation of my thesis was required for completion.

The system implements the following scheduling algorithms:
1) NLP-based model for optimizing multi-source data retrievals for scheduling data intensive applications
2) Multi-source data retrieval based Static and Dynamic scheduling heuristic
3) PSO-based scheduling heuristic

The video shows a fMRI application being executed using distributed resources.

I am thankful for Jia Yu for constructing the foundation of the workflow engine, Mustafizur Rahman for the workflow editor, William Voorsluys for the portal framework.


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