Descrizione del progetto Scalable data analytics Mostra l’obiettivo del progetto Nascondi l’obiettivo del progetto The growing number of fine-granular data streams opens up new opportunities for improved risk analysis, situation and evolution monitoring as well as event detection. However, there are still some major roadblocks for leveraging the full potential of data stream processing, as it would, for example, be needed the highly relevant systemic risk analysis in the financial domain.The QualiMaster project will address those road blocks by developing novel approaches for autonomously dealing with load and need changes in large-scale data stream processing, while opportunistically exploiting the available resources for increasing analysis depth whenever possible. For this purpose, the QualiMaster infrastructure will enable autonomous proactive, reflective and cross-pipeline adaptation, in addition to the more traditional reactive adaptation. Starting from configurable stream processing pipelines, adaptation will be based on quality-aware component description, pipelines optimization and the systematic exploitation of families of approximate algorithms with different quality/performance tradeoffs. However, adaptation will not be restricted to the software level alone: We will go a level further by investigating the systematic translation of stream processing algorithms into code for reconfigurable hardware and the synergistic exploitation of such hardware-based processing in adaptive high performance large-scale data processing. The project focuses on financial analysis based on combining financial data streams and social web data, especially for systemic risk analysis. Our user-driven approach involves two SMEs from the financial sector. Rigorous evaluation with real world data loads from the financial domain enriched with relevant social Web content will further stress the applicability of QualiMaster results. Campo scientifico natural sciencescomputer and information sciencessoftwarenatural sciencescomputer and information sciencesdata sciencedata processing Programma(i) FP7-ICT - Specific Programme "Cooperation": Information and communication technologies Argomento(i) ICT-2013.4.2 - Scalable data analytics Invito a presentare proposte FP7-ICT-2013-11 Vedi altri progetti per questo bando Meccanismo di finanziamento CP - Collaborative project (generic) Coordinatore GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER Contributo UE € 780 684,00 Indirizzo WELFENGARTEN 1 30167 Hannover Germania Mostra sulla mappa Regione Niedersachsen Hannover Region Hannover Tipo di attività Higher or Secondary Education Establishments Contatto amministrativo Claudia Niederee (Dr.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato Partecipanti (4) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto STIFTUNG UNIVERSITAT HILDESHEIM Germania Contributo UE € 584 740,00 Indirizzo UNIVERSITATSPLATZ 1 31141 Hildesheim Mostra sulla mappa Regione Niedersachsen Hannover Hildesheim Tipo di attività Higher or Secondary Education Establishments Contatto amministrativo Klaus Schmid (Prof.) Collegamenti Contatta l’organizzazione Opens in new window Costo totale Nessun dato SPRING TECHNO GMBH & CO KG Germania Contributo UE € 484 116,00 Indirizzo HERMANN KOHLSTRASSE 7 28199 Bremen Mostra sulla mappa Regione Bremen Bremen Bremen, Kreisfreie Stadt Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Contatto amministrativo Holger Arndt (Mr.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato EREVNITIKO PANEPISTIMIAKO INSTITOUTO TILEPIKONONIAKON SYSTIMATON Grecia Contributo UE € 692 820,00 Indirizzo KOUNOUPIDIANA AKROTIRIO TUC CAMPUS 73100 CHANIA Mostra sulla mappa Regione Νησιά Αιγαίου Κρήτη Χανιά Tipo di attività Higher or Secondary Education Establishments Contatto amministrativo Michael Paterakis (Prof.) Collegamenti Contatta l’organizzazione Opens in new window Sito web Opens in new window Costo totale Nessun dato MAXELER TECHNOLOGIES LIMITED Regno Unito Contributo UE € 365 640,00 Indirizzo 3 & 4 ALBION PLACE W6 0QT London Mostra sulla mappa Regione London Inner London — West Kensington & Chelsea and Hammersmith & Fulham Tipo di attività Private for-profit entities (excluding Higher or Secondary Education Establishments) Contatto amministrativo Oliver Pell (Mr.) Collegamenti Contatta l’organizzazione Opens in new window Costo totale Nessun dato