Data-intensive computing for competent genetic algorithms: a pilot study using meandre
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
Large scale data mining using genetics-based machine learning
Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference: Late Breaking Papers
SOIRE: a service-oriented IR evaluation architecture
Proceedings of the 18th ACM conference on Information and knowledge management
SITIO: semantic business processes based on software-as-a-service and cloud computing
E-ACTIVITIES'09/ISP'09 Proceedings of the 8th WSEAS International Conference on E-Activities and information security and privacy
A general approach to data-intensive computing using the Meandre component-based framework
Proceedings of the 1st International Workshop on Workflow Approaches to New Data-centric Science
Adding semantics to software-as-a-service and cloud computing
WSEAS Transactions on Computers
Large scale data mining using genetics-based machine learning
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
JSAI-isAI'10 Proceedings of the 2010 international conference on New Frontiers in Artificial Intelligence
A sensemaking environment for literature study
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Large scale data mining using genetics-based machine learning
Proceedings of the 14th annual conference companion on Genetic and evolutionary computation
Data-intensive architecture for scientific knowledge discovery
Distributed and Parallel Databases
Large scale data mining using genetics-based machine learning
Proceedings of the 15th annual conference companion on Genetic and evolutionary computation
Modeling and optimizing large-scale data flows
Future Generation Computer Systems
Capturing the workflows of music information retrieval for repeatability and reuse
Journal of Intelligent Information Systems
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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.