Objetivo
Whoever can process more data faster and turn it into useful information quickly becomes a global leader in today’s digital world. There may be millions of personal computers and thousands of supercomputers in the world, but the analysis of both stored and streaming data keeps lagging due to the lack of online, easy-to-use, and semi-automated data processing and analytics software. USA has made breakthrough progress over the last decade both academically and industrially in the KDE field and there is ongoing work towards realizing the so called “Business Intelligence (BI) for the Masses” vision. Other recent news suggest that India and China may also be making significant progress in the same direction. Therefore, it is crucial for Europe to boost investments in novel CC-based KDE technologies. This objective of this proposal is to design and implement an on-demand, integrated, and scalable cloud analytics technology with a high potential for wide-scale use and impact. Numerous databases, data processing engines have been developed in the past, but the state-of-the-art in this domain can simply be summarized as “enterprise-class desktop applications”. The proposed project will consist of four major phases each taking about 1 year and each consisting of four parts. PHASE1 is the design and implementation of a scalable distributed cloud infrastructure as a service. It is followed in PHASE2 by the design and implementation of the data mining and reporting service over the infrastructure developed in PHASE1. In PHASE3, we focus on developing the real-time data stream and complex event processing service. Finally, in PHASE4 we will develop and demonstrate the intelligent applications using the platform services developed in phases 2 and 3. We also plan to use open-source software methodologies and tools and provide open access to each architectural layer through web services.
Ámbito científico
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdata sciencedata mining
- natural sciencescomputer and information sciencesdata sciencebusiness intelligence
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcomputer hardwaresupercomputers
- natural sciencescomputer and information sciencesdata sciencedata processing
Convocatoria de propuestas
FP7-PEOPLE-2009-RG
Consulte otros proyectos de esta convocatoria
Régimen de financiación
MC-IRG - International Re-integration Grants (IRG)Coordinador
34794 Alemdag Cekmekoy, Istanbul
Turquía