Scaling Genetic Algorithms using MapReduce
Verma, A., Llorà, X., Campbell, R.H., Goldberg, D.E. (2009)TR No.: 2009007 | Download PDF | Download PS
Abstract: Genetic algorithms(GAs) are increasingly being applied to large scale problems. The traditional MPI-based parallel GAs do not scale very well. MapReduce is a powerful abstraction developed by Google for making scalable and fault tolerant applications. In this paper, we mould genetic algorithms into the the MapReduce model. We describe the algorithm design and implementation of […]
Posted: October 9th, 2009 under Data-intensive computing, Cloud computing, Genetic algorithms. Comments: none
Meandre: Semantic-Driven Data-Intensive Flows in the Clouds
Llorà, X., Ács, B., Auvil, L., Capitanu, B., Welge, M.E., Goldberg, D.E. (2008)TR No.: 2008013 | Download PDF | Download PS
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 […]
Posted: October 24th, 2008 under Cloud computing. Comments: none