Workpackage overview

This section presents a brief overview of TOREADOR workpackages divided per work area.

Work Area 1:
Big Data models

Leader: CINI

 

WP1 Declarative Models for data process, data representation, data processing and analysis, data display (CINI); T1.1 Models’ Requirement Elicitation from Pilots
T1.2 Big Data declarative representation models
T1.3 Declarative Models for Big Data preparation, processing, analytics
T1.4 Models for Big Data display and reporting
WP2 Procedural Models for data process, data representation, data processing and analysis, data display (CINI) T2.1 Big Data procedural representation models
T2.2 Procedural Models for Big Data preparation, processing and analytics
T2.3 Procedural Models for Big Data display and reporting

Work Area 2:
Model-based Big Data Analytics as a Service

Leader: CITY

WP3 MBDA-as-a-service specifications (CINI) T3.1 Big-Data-Analytics-as-a-Service Requirements
T3.2 Big-Data-Analytics-as-a-Service Model Transformations
T3.3 Elicitation of deployment scenarios from Pilots
T3.4 Deployment Models for Big-Data-Analytics-as-a-Service
WP4 MBDA-as-a-service SLA and Assurance (CITY) T4.1 SLA Modelling, Negotiation and checking for BDA-as-a-Service SLAs
T4.2 Assurance Services for Big-Data-Analytics-as-a-Service

Work Area 3:
Architecture and toolkit

Leader: ENG

WP5 Batch, Stream, Interactive, Analytics and visualization services (ATOS) T5.1 Batch Data Analytics
T5.2 Stream Data Analytics
T5.3 Big Data Analytics Visualization and Interactive Services
WP6 Big Data Preparation, Anonymization, and security component set (SAP) T6.1 Data Preparation, Data Anonymization, Legal and Security Requirements and gap analysis
T6.2 Design of Conceptual Architecture for Big Data Preparation, Anonymization, and security services
T6.3 Design of Service Toolkit for Big Data Preparation, Anonymization, and security
WP7 Data representation, storage and retrieval services (ENG) T7.1 Big Data Management Requirements
T7.2 Design of Conceptual Architecture for Big Data Management
T7.3 Design and development of Service Toolkit for Big Data Management
WP8 TOREADOR Platform Integration and deployment (ENG) T8.1 Platform requirement analysis and specification
T8.2 TOREADOR Platform architecture
T8.3 Platform integration and deployment
T8.4 Big data as a service deployment solutions and patterns

Work Area 4:
Pilot, exploitation, and innovation

Leader: SAP

WP9 The Application Log Analysis Pilot (SAP) T9.1 Legal Aspects
T9.2 Performance Requirements
T9.3 TOREADOR Pilot Deployment
T9.4 TOREADOR Pilot Validation
WP10 The Energy Production Data Analysis Pilot (LIGHT) T10.1 Legal Aspects
T10.2 Performance Requirements
T10.3 Pilot Deployment
T10.4 TOREADOR Pilot Validation
WP11 The Clickstream Analysis Pilot (JOT) T11.1 Legal Aspects
T11.2 Performance Requirements
T11.3 TOREADOR Pilot Deployment
T11.4 TOREADOR Pilot Validation
WP12 The Aerospace Products Manufacturing Analysis Pilot (DTA) T12.1 Legal Aspects
T12.2 Performance Requirements
T12.3 TOREADOR Pilot Deployment
T12.4 TOREADOR Pilot Validation

Work Area 5:
Project management

Leader: CINI

WP13 Project Management (CINI) T13.1 Communication and management
T13.2 Project co-ordination
T13.3 Quality assurance
WP14 Dissemination, Exploitation, Standardization (CINI) T14.1 Dissemination
T14.2 Exploitation
T14.3 Standardization
T14.4 Internal and external training
T14.5 Advisory Board
WP15 Innovation for Data-Driven Economy (TAIGER) T15.1 Business Models for TOREADOR
T15.2 New Products’ and Services’ Incubation
T15.3 New Products’ and Services’ Incubation
WP16 Legal Aspects (B&B) T16.1 Providing the general legal framework (background document)
T16.2 Ownership and intellectual property aspects of data management in a big data context
T16.3 Privacy and security aspects of data management in a big data context
T16.4 Review of legal management and compliance of the TOREADOR project