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Comments technology, allowing machines and robots to access their programs from the cloud, rather than requiring local hosting.
 RP 2.13 M2M cloud connectivity for future manufacturing enterprises Taxon title RP 2.13 M2M cloud connectivity for future manufacturing enterprises Taxon description Research should be pursued in the development of universal adapters to interface devices with cloud middleware and translate data collected from them.
 Flexibility Comments technology, allowing machines and robots to access their programs from the cloud, rather than requiring local hosting.
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Description health condition and supporting a large range of assets and dynamic operating conditions, A secure integration module connecting the platform to production planning and maintenance systems via a private cloud
Comments computing, edge computing Technologies and enablers Data processing Data collection, storage, analytics, processing and AI Information and communication technologies Interoperability (ICT) ICT performance
 Knowledge based and cloud deployment report Result title Knowledge based and cloud deployment report Result description Knowledge based and cloud deployment report
 Cloud computing, edge computing Taxon title Cloud computing, edge computing
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Future distributed computing deployments, such as the cloud, should be leveraged to upload enterprise-specific energy consumption information for obtaining compliance certificates from regulatory bodies
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Description SCOTT is based on 15 industrial use cases with a focus on cross-domain applications and heterogeneous environments, emphasizing 5G and cloud computing aspects.
 Summary of selected SCOTT building blocks for distributed cloud computing Result title Summary of selected SCOTT building blocks for distributed cloud computing
 Towards a Standardized Identity Federation for Internet of Things in 5G Networks Result description , Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)Journal publisher
 AAA - Access, Authorisation and Authentication Taxon description In Digital Manufacturing Platforms this means the systems could be accessible only on premise, in the factory or for instance in the (private or public) cloud.
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Description It will be cloud-based to accommodate the anticipated high data volume and computational needs, while offering accessibility via any device anywhere in the world.
Comments Factor meta-models [BOC, UNIMAN]: refine the notion of holistic Enterprise Modelling for manufacturing and allows flexible machine configurations, by introducing mechanisms from cloud computing and applying
 High Performance Computing and Industry 4.0: Experiences from the DISRUPT Project Result title High Performance Computing and Industry 4.0: Experiences from the DISRUPT Project
 Allocation of publisher/subscriber data links on a set of virtual machines. Result description Computing (CLOUD)Journal publisher: IEEEPublished year: 2018
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon title RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration
 RP 3.4 Energy monitoring and management in future manufacturing enterprises Taxon description Future distributed computing deployments, such as the cloud, should be leveraged to upload enterprise-specific energy consumption information for obtaining compliance certificates from regulatory bodies
 Design Comments Factor meta-models [BOC, UNIMAN]: refine the notion of holistic Enterprise Modelling for manufacturing and allows flexible machine configurations, by introducing mechanisms from cloud computing and applying
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Description a full functionality at affordable cost and with Cloud availability.
Comments Integrated factory models for evolvable manufacturing systems FoF Partnership SRIA Research priorities Domain 3: Digital, virtual and resource-efficient factories RP 3.3 Integrated High-performance Computing
 vfOS - ID1.4a - Existing SOTA Analysis(M6) Result description It will also study the current state of relevant technologies, including cloud computing, IOT, embedded systems, sensors and CPS components, data analytics, Big Data sources, Security, and mobile data
 RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon title RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon description For performing these high-performance simulation and analytics operations, IaaS offering offered by cloud computing paradigms should be exploited in order to particularly assist SMEs that are constrained
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Description The primary objective of the SAFIRE project is to develop cloud-based analytics and reconfiguration capabilities that provide: Both reactive and predictive reconfiguration for both production systems
Comments Data processing Technologies and enablers Data collection, storage, analytics, processing and AI Information and communication technologies Dynamic cloud based real-time cloud computing Data collection
 Scheduling of Smart Factories using Edge Computing and Clouds Result title Scheduling of Smart Factories using Edge Computing and Clouds
 Methodology for Dynamic and Predictable Reconfiguration and Optimisation Engine Result description computing platform.
 K TELECOMMUNICATION, COMPUTER PROGRAMMING, CONSULTING, COMPUTING INFRASTRUCTURE AND OTHER INFORMATION SERVICE ACTIVITIES Taxon title K TELECOMMUNICATION, COMPUTER PROGRAMMING, CONSULTING, COMPUTING INFRASTRUCTURE AND OTHER INFORMATION SERVICE ACTIVITIES
 AAA - Access, Authorisation and Authentication Taxon description In Digital Manufacturing Platforms this means the systems could be accessible only on premise, in the factory or for instance in the (private or public) cloud.
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Comments Cloud computing Technologies and enablers Cloud computing, edge computing Data processing Data collection, storage, analytics, processing and AI Information and communication technologies
 Streaming Analytics in Edge-Cloud Environment for Logistics Processes Result title Streaming Analytics in Edge-Cloud Environment for Logistics Processes
 Unveiling Trends and Predictions in Digital Factories Result description this page.Authors: Sophia Karagiorgou, Georgios Vafeiadis, Dimitrios Ntalaperas, Nikolaos Lykousas, Danae Vergeti, Dimitrios AlexandrouJournal title: 2019 15th International Conference on Distributed Computing
 Cloud computing, edge computing Taxon title Cloud computing, edge computing
 Cloud computing Taxon description https://en.wikipedia.org/wiki/Cloud_computing Cloud computing can be deployed as private cloud, public cloud, hybrid
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Comments computing, edge computing Technologies and enablers Data processing Data collection, storage, analytics, processing and AI Information and communication technologies Data analytics Technologies and enablers
 HPC and Cloud Resources for ZDM (Version 1) Result title HPC and Cloud Resources for ZDM (Version 1) Result description Prototype implementation of HPC and Cloud infrastructures for deploying ZDM solutions based on task T3.2
 Cloud computing, edge computing Taxon title Cloud computing, edge computing
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Description A (Meta-) product is now a customer driven customisable entity that integrates sensory/computing units, which are in turn connected to the cloud, leading to a paradigm shift from mass production to intelligent
Comments Sensor Network, Heart Rate Monitoring Number of generated spin-offs or start-ups Additional KPIs STSuit Domain 4: Collaborative and mobile enterprises FoF Partnership SRIA Research priorities RP 4.1 Cloud-based
 Final Report Summary - EASY-IMP (Collaborative Development of Intelligent Wearable Meta-Products in the Cloud) Result title Final Report Summary - EASY-IMP (Collaborative Development of Intelligent Wearable Meta-Products in the Cloud)
 Collaborative LAB for META-Product Development Result description The collaborative development lab is a web based cloud application with private and public area.
 RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration Taxon title RP 4.1 Cloud-based Manufacturing Business Web for Supply Network Collaboration
 IoT - Internet of Things Taxon description The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that are provided with unique identifiers (UIDs) and the ability
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Description The goal of Fortissimo is to overcome this impasse through the provision of simulation services running on a cloud infrastructure making use of High Performance Computing systems also making appropriate
Organisation Scientific Computing & Modelling N.V.
Comments Information and communication technologies Technologies and enablers Domain 3 - Digital, Virtual and Resource-efficient Factories Impact Workshop D3-Area 1: Cloud services and simulation, Knowledge-based
 Cloud-based microscopy Result title Cloud-based microscopy
 Cloud-based shape optimisation for super-cars Result description This provides an integrated environment with access to optimization software and both in-house and cloud-based HPC computing resources.
 RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon title RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon description For performing these high-performance simulation and analytics operations, IaaS offering offered by cloud computing paradigms should be exploited in order to particularly assist SMEs that are constrained
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Description computing platforms.
Comments CFG as an innovation action under the objective "modelling, simulation and Cloud HPC computing" and has contributed to the smartness of factories especially in terms of simulating
 Automatic, cloud-independent, scalable Spark cluster deployment in cloud Result title Automatic, cloud-independent, scalable Spark cluster deployment in cloud
 Cloud-based modelling for improving resin infusion process Result description The objective of this experiment is to apply a model that can be run in synergy with the HPC computing resources accesing it from a traditional desktop workstation to remote computing resources.
 RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon title RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon description For performing these high-performance simulation and analytics operations, IaaS offering offered by cloud computing paradigms should be exploited in order to particularly assist SMEs that are constrained
 Specific Objective 1: Excellent, responsive and smart factories & supply chains Comments CFG as an innovation action under the objective "modelling, simulation and Cloud HPC computing" and has contributed to the smartness of factories especially in terms of simulating
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Description To achieve this, one obvious approach is to port successful concepts from the field of Everything-as-a-Service (XaaS) and Cloud computing to manufacturing to mirror agile collaboration through flexible
Comments computing, edge computing Technologies and enablers Data processing Data collection, storage, analytics, processing and AI Information and communication technologies Human Machine Interfaces Technologies
 Predicting cloud resource utilization Result title Predicting cloud resource utilization
 Elastic Stream Processing for the Internet of Things Result description Computing (CLOUD)Journal publisher: IEEEPublished year: 2016Published pages: 100-107DOI identifier: 10.1109/CLOUD.2016.0023ISBN:978-1-5090-2619-7
 Cloud computing, edge computing Taxon title Cloud computing, edge computing
 RP 3.7 On-demand modular and replicative models for faster factory initialisation Taxon description In order to render these complex ontology based replicative factory models, state of the art in high-performance computing in the cloud should be leveraged for the benefit of SMEs and large enterprises
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Description On the other hand, monitoring of the machine empowered by Big Data and Cloud technologies allows analysing the real process including vibration and process instability issues.
Comments Factories Domain 2: Adaptive and smart manufacturing systems Domain 3: Digital, virtual and resource-efficient factories FoF Partnership SRIA Research priorities RP 3.3 Integrated High-performance Computing
 MC-SUITE application based on six different modules ready to reduce the gap between the simulated and the real process Result description - Objective 4: To build up a monitoring system based on the cloud.
 RP 2.13 M2M cloud connectivity for future manufacturing enterprises Taxon title RP 2.13 M2M cloud connectivity for future manufacturing enterprises
 RP 3.3 Integrated High-performance Computing in Factory Life Cycle Management Taxon description For performing these high-performance simulation and analytics operations, IaaS offering offered by cloud computing paradigms should be exploited in order to particularly assist SMEs that are constrained
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Description Despite the proclaimed benefits (i.e. scalability, reliability, cost-effectiveness) of Future Internet (FI) technologies (i.e. edge & cloud computing, IoT/CPS) for factory automation, their adoption
Comments resources by applying Edge Computing patterns.
 Local Cloud Internet of Things Automation: Technology and Business Model Features of Distributed Internet of Things Automation Solutions Result title Local Cloud Internet of Things Automation: Technology and Business Model Features of Distributed Internet of Things Automation Solutions
 The FAR-EDGE Factory Automation Platform Result description The FAR-EDGE Factory Automation Platform is an integrated system based on Edge, Cloud, IoT and CPS principles.
 RP 2.13 M2M cloud connectivity for future manufacturing enterprises Taxon title RP 2.13 M2M cloud connectivity for future manufacturing enterprises
 Service model Taxon description computing models: Software as a Service (SaaS), Platform as a Service (PaaS) and Infrastructure as a Service (IaaS).
 Data acquisition/monitoring/analysis (SCADA) implemented but isolated Comments resources by applying Edge Computing patterns.