Main Conference Sessions
Meandre: Semantic-Driven Data-Intensive Flows in the Clouds
Authors
- Xavier Llora, University of Illinois at Urba
- Bernie Acs, University of Illinois at Urbana-Champaign
- Loretta Auvil, University of Illinois at Urbana-Champaign
- Boris Capitanu, University of Illinois at Urbana-Champaign
- Michael Welge, University of Illinois at Urbana-Champaign
- David Goldberg, University of Illinois at Urbana-Champaign
Abstract
Data-intensive flow computing allows efficient processing of large volumes of data otherwise unapproachable. This paper introduces a new semantic-driven data-intensive flow infrastructure which: (1) provides a robust and transparent scalable solution from a laptop to large-scale clusters, (2) creates an unified solution for batch and interactive tasks in high-performance computing environments, and (3) encourages reusing and sharing components. Banking on virtualization and cloud computing techniques, the Meandre infrastructure is able to create and dispose Meandre clusters on demand, being transparent to the final user. This paper also presents a prototype of such clustered infrastructure and some results obtained using it.
Date and Time
Wednesday, December 10, 10 a.m. to 10:30 a.m.
Room Number
208
