EFFRA Innovation Portal

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Cost-Efficient Data Redundancy in the Cloud

Project: CREMA

Updated at: 29-04-2024

Resource Provisioning for IoT Services in the Fog

Project: CREMA

Updated at: 29-04-2024

Predicting cloud resource utilization

Project: CREMA

Updated at: 29-04-2024

Elastic Process Optimization and Scheduling in the Cloud

Project: CREMA

Updated at: 29-04-2024

D8.1: Use Case II (Automotive) Definition I

Project: CREMA

Updated at: 29-04-2024

D7.2: Use Case I (Machinery Maintenance) Definition II

Project: CREMA

Updated at: 29-04-2024

D2.3: Market and Applicability Watch Report II

Project: CREMA

Updated at: 29-04-2024

D5.8: CREMA Design Time Optimisation – Prototype II

Project: CREMA

Updated at: 29-04-2024

D9.13: CREMA Workshop Reports II

Project: CREMA

Updated at: 29-04-2024

D9.11: Scientific Dissemination Reports III

Project: CREMA

Updated at: 29-04-2024

D6.3: CREMA Monitoring & Alerting Framework - Prototype I

Project: CREMA

Updated at: 29-04-2024

D9.16: Project Collaboration and Standardisation Engagement Reports III

Project: CREMA

Updated at: 29-04-2024

D8.5: Use Case II (Automotive) Validation and Feedback

Project: CREMA

Updated at: 29-04-2024

D4.2: CREMA Data Model, Model Library and Profiles Prototype II

Project: CREMA

Updated at: 29-04-2024

D7.1: Use Case I (Machinery Maintenance) Definition I

Project: CREMA

Updated at: 29-04-2024

D2.2: Market and Applicability Watch Report I

Project: CREMA

Updated at: 29-04-2024

D3.3: Technical Specification

Project: CREMA

Updated at: 29-04-2024

D4.1: CREMA Data Model, Model Library and Profiles Prototype I

Project: CREMA

Updated at: 29-04-2024

D9.9: Scientific Dissemination Reports I

Project: CREMA

Updated at: 29-04-2024

D9.14: Project Collaboration and Standardisation Engagement Reports I

Project: CREMA

Updated at: 29-04-2024

D3.7: Software Integration Report II

Project: CREMA

Updated at: 29-04-2024

D1.3 Use-cases and manufacturing goals

Project: DISRUPT

Updated at: 29-04-2024

D1.4 User Requirements, Data Requirements and Management

Project: DISRUPT

Updated at: 29-04-2024

D6.3 Standardisation Activities

Project: DISRUPT

Updated at: 29-04-2024

D1.2 Manufacturing cases elucidation and market analysis

Project: DISRUPT

Updated at: 29-04-2024

D4.2 Data Analytics Toolkit

Project: DISRUPT

Updated at: 29-04-2024

WiP: An architecture for disruption management in smart manufacturing

Project: DISRUPT

Updated at: 29-04-2024

An Advanced Manufacturing Platform for inner & outer plant disruptions

Project: DISRUPT

Updated at: 29-04-2024

Data Analysis and Knowledge Management in Industrie 4.0

Project: DISRUPT

Updated at: 29-04-2024

Allocation of publisher/subscriber data links on a set of virtual machines.

Project: DISRUPT

Updated at: 29-04-2024

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Resources

Selected filters:

Cost-Efficient Data Redundancy in the Cloud

Resource Provisioning for IoT Services in the Fog

Predicting cloud resource utilization

Elastic Process Optimization and Scheduling in the Cloud

D8.1: Use Case II (Automotive) Definition I

D7.2: Use Case I (Machinery Maintenance) Definition II

D2.3: Market and Applicability Watch Report II

D5.8: CREMA Design Time Optimisation – Prototype II

D9.13: CREMA Workshop Reports II

D9.11: Scientific Dissemination Reports III

D6.3: CREMA Monitoring & Alerting Framework - Prototype I

D9.16: Project Collaboration and Standardisation Engagement Reports III

D8.5: Use Case II (Automotive) Validation and Feedback

D4.2: CREMA Data Model, Model Library and Profiles Prototype II

D7.1: Use Case I (Machinery Maintenance) Definition I

D2.2: Market and Applicability Watch Report I

D3.3: Technical Specification

D4.1: CREMA Data Model, Model Library and Profiles Prototype I

D9.9: Scientific Dissemination Reports I

D9.14: Project Collaboration and Standardisation Engagement Reports I

D3.7: Software Integration Report II

D1.3 Use-cases and manufacturing goals

D1.4 User Requirements, Data Requirements and Management

D6.3 Standardisation Activities

D1.2 Manufacturing cases elucidation and market analysis

D4.2 Data Analytics Toolkit

WiP: An architecture for disruption management in smart manufacturing

An Advanced Manufacturing Platform for inner & outer plant disruptions

Data Analysis and Knowledge Management in Industrie 4.0

Allocation of publisher/subscriber data links on a set of virtual machines.