Technologies combining big data, internet of things in the cloud

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(EUJ-1-2014) - TECHNOLOGIES COMBINING BIG DATA, INTERNET OF THINGS IN THE CLOUD

Programme: Horizon 2020 Framework Programme
Call: EU-Japan Research and Development Cooperation in Net Futures EU

Topic description

Scope:

Specific Challenge: Big data, internet of things are trends which will influence and impact the future development of cloud computing systems. Information gathering, processing and computing of massive amounts of data generated from and delivered to highly distributed devices (e.g. sensors and actuators) creates new challenges, especially for services and data hosted and executed across borders including EU and Japan. These requirements will impact the underlying cloud infrastructure requiring efficient management of very large sets of globally distributed non-structured or semi-structured data that could be produced at very high rates (i.e. big data). A multi-cloud service platform supported by broadband networks needs to handle all these challenges and appear to the application environment as one uniform platform.

Scope: The focus of the joint research is the development of innovative global cloud platform technologies to meet the new challenges of big data, mobile and IoT. It should address requirements from business and industrial applications, such as robotics or factory automation and/or societal applications, such as health management for an aging society.

The outcome of the research will be a global, scalable and flexible service platform for developing real time services which can process, integrate and visualize Big Data over advanced integrated cloud and network infrastructures.

Future standardization requirements should be considered. The technologies developed should be validated through relevant use cases and demonstrations requiring the combination of real world sensors and/or actuators with “big data” infrastructures over clouds.

Expected impact:

         Credible demonstrations based on cross-border business and/or societal applications of robust interoperable technologies combining big data, IoT and mobile on cloud platforms.

         Concrete implementations of interoperable solutions that integrate big data, IoT and mobile that are candidates for standardisation.

         Potential for commercial application in business environments, expressed in the form of a credible international exploitation plan.

Types of action:

Research & Innovation Actions –The Commission considers that proposals requesting a contribution from the EU of EUR 1,5 million would allow this specific challenge to be addressed appropriately. Nonetheless, this does not preclude submission and selection of proposals requesting other amounts.

Cross-cutting Priorities:

International cooperation

Keywords

Cloud Architectures Data visualization Very large data bases Systems of systems Cloud Computing models Data curation Theoretical computer science, formal methods Cloud computing Geo-information and spatial data analysis Advanced computing Cloud Infrastructures Cloud Services Scalability Service oriented architectures Computing for servers, data centres Linked open data Embedded systems Data stream analysis Real time data analytics Semiconductors, components, systems Electrical and electronic engineering: semiconduct Internet Services & Applications Service Engineering Web and information systems, database systems, inf Semiconductors Information systems Cyber-physical systems

Tags

Heterogeneous clouds Memory based analytics Distributed control Monitoring systems Energy Efficiency Cloud Computing programming languages Private Clouds Interoperability Service provision Green data centres Pipes Streaming Service Management Web Services SOAP Vectoring Service Configuration Semantic web Data validation Embedded software Real time control Sensor networks Cloud computing algorithms Gpu data analytics System architecture definition Control of complex large-scale systems Data mapping Safety critical embedded systems Complex event detection Service orchestration Service composition Semantics Data exchange formats Emergent behavior Online learning Graph databases Rdf Distributed sensor network System on a chip Federated cloud networking Sparql BPEL Formal methods Embedded hardware Vldb Service lifecycle Scalable applications Networked embedded control Federated clouds Embedded systems security Embedded systems design Hybrid systems PaaS Japan IaaS Query optimization RESTful WS Real time embedded systems Trusted cloud systems Wireless sensor network Complex embedded systems Web applications Virtualisation Time critical embedded systems Elasticity Nosql Mixed criticality systems Reconfigurability Public Clouds SaaS CAP theorem Computing continuum Low power computing Autonomous systems Parallel computing Dependability Distributed applications UDDI Sharding Fpga data algorithms Change Management Large scale embedded systems Cooperative objects XaaS

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