The VIEW Project
Abstract
Cloud computing has rapidly become a new platform featuring scalability and elasticity for executing business and scientific applications. This project aims to investigating Nimbus and Eucalyptus as Cloud platforms for elastic workflow scheduling and resource provisioning.
Intellectual Merit
The intellectual merits of this research lie in the following transformational
contributions to the fields of scientific workflows and Cloud computing:
1) The development of a parallel data model to support the modeling, storage, querying, and processing of collection-oriented scientific data in scientific workflows, in which data parallelism is natively supported.
2) The development a MapReduce-enabled workflow model to support MapReduce-style
scientific workflows in which each map or reduce job can be a scientific workflow
itself.
Broader Impact
The success of this project will provide a general-purpose but domain customizable,
Cloud-oriented scientific workflow tool for accelerating scientific discovery. The PI is organizing an annual IEEE International workshop on scientific workflows to distribute the expected tool to various domains. The research results will also be broadly
disseminated through publications in international journals and conferences.
Use of FutureGrid
We will use FutureGrid to provision Cloud resources for experimenting and evaluating various Cloud-based scientific workflows scheduling algorithms that are currently being developed in our lab.
Scale Of Use
We will need around 10 VMs initially for experiments and testing with
10 hours per week. After 3 months, we expect the workload will be 20 hours per week.
At the end of the year, we might need do a few tests that need 100VMs, but will run for only a short time (10-20 hours).
Futuregrid is a resource provider for