P2 3-manfred hauswirth
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Manfred Hauswirth from DERI presented the "EU OpenIoT Project" (FInES Workshop at Aalborg)

Manfred Hauswirth from DERI presented the "EU OpenIoT Project" (FInES Workshop at Aalborg)

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P2 3-manfred hauswirth P2 3-manfred hauswirth Presentation Transcript

  • Open Source blueprint for large scale self-organizing cloud environments for IoT applications EU OpenIoT Project - FP7 ICT-2011 1.3: Internet-connected Objects Sensing an Enterprise Semantic Cloud Based IoT Middleware Manfred Hauswirth, DERI John Soldatos, AIT FinES Cluster Meeting, Aalborg, May, 9th, 2012 Panel #2 , «The Sensing Enteprise»© Copyright 2012OpenIoT Consortium
  • Sensing Enterprise Definition• Sensing Enterprise: – Enterprise anticipating future decisions by using multi- dimensional information captured through physical and virtual objects and providing added value information to enhance its global context awareness• Concept created by the FInES community in the context of the Augmented Internet (see: “FinES Position Paper on Orientations for FP8 A European Innovation Partnership for Catalysing the Competitiveness of European Enterprises”, March 2011) © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 2 cloud environments for IoT applications
  • Scope of OpenIoT• STREP Project, December 2011- November 2014 – Main Goal: Research and development of an open source middleware platform enabling the setup of utility/cloud based infrastructures for IoT services – http://www.openiot.eu/• Example: – Utility-based sensor clouds (i.e., Sensing-as-a-Service)• Main research topics: – Semantic interoperability for ICO – Linked Sensor Data – Pay-as-you-go IoT services – Utility-driven security and privacy © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 3 cloud environments for IoT applications
  • Relation to Sensing Enterprise• OpenIoT is processing information streams stemming from both physical and virtual objects: – Physical objects : sensing devices (e.g., temperature sensor, WSN, ZigBee) – Virtual objects: User-defined combinations of sensing streams such as sensor information fusion algorithms (e.g., product “greenness” sensor)• OpenIoT enables a certain level of reasoning over the information collected from multiple physical and virtual objects: – Semantic Web technologies / reasoning capabilities – Enabling added-value filtering & processing (context-aware) in order to identify information or drive decisions & actions• OpenIoT aspires to measure utility associated with physical / virtual sensors: – Utility can be used to measure business value (e.g., track & trace the value of an asset, identify the value of a brand) © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 4 cloud environments for IoT applications
  • OpenIoT Highlights (1)• Enhancement of the popular open-source Global Sensor Networks Middleware (http://sourceforge.net/apps/trac/gsn/) – Background IPR of the project – GSN-Cloud infrastructure integration towards a «Sensor Cloud» – Early experiments with popular cloud infrastructures (SimpleDB, Hbase, Cassandra over Amazon Cloud) in progress• Integration with other IoT platforms and ecosystems: – Support for standards (such as IETF COAP, W3C SSN) – Integration with IoT platforms (EPCGlobal, Pachube.com…) – More sensors and data feeds © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 5 cloud environments for IoT applications
  • OpenIoT Highlights (2)• Utility-based infrastructures: – IoT accounting & billing – Utility-driven security & privacy – Utility-driven resource management• Scalable, global infrastructure: – Support for any type of Sensor – Support for any type of Virtual Sensor• Support for on-demand utility based services: – Sensing-as-a-Service © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 6 cloud environments for IoT applications
  • Draft Architecture © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 7 cloud environments for IoT applications
  • W3C Semantic Sensor Networks• Uniform description of all physical and virtual sensors – Can model any kind observations relevant to the sensing enterprise• Enables semantic interoperability between sensors and sensor services – Uniform way of exchanging data from/to the sensors• Provides a basis for reasoning that can ease development of advanced applications – E.g., select sensors, filter information• Organizes, manages, queries, understands and controls sensor information through high-level specifications © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 8 cloud environments for IoT applications
  • SSN-XG Ontology Structure © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 9 cloud environments for IoT applications
  • SSN-XG Ontology Structure © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 10 cloud environments for IoT applications
  • OpenIoT can Handle Social Sensors • Social sensors: filters & components processing feeds from social networks – Prominent example: Twitter filters such as Gender Analysis and Sentiment Analysis • Social sensors enable a range of entreprise applications such as branding & marketing applications• Sentiment Analysis : • Ask Twitter from the FP7 SMART http://www.sentiment140.com/ project (http://www.smartfp7.eu) © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 11 cloud environments for IoT applications
  • Sensing Enterprise Use Cases• Data Discovery and Linking: Find all observations that meet certain criteria, and possibly link them to other external data sources – Measure eco-profile for a product family & link to its pricing!• Device Discovery and Selection: Find all the devices that meet certain criteria (e.g,., type, geographic region, measured phenomenon, range of measurement, availability, owner or responsible party, manufacturer,….) – Which are the social sensors that deal with our enterprise?• Combinations of the above: Provenance and diagnosis – Which is the most effective marketing strategy?• Device Operation Tasking and Programming: – Configure manufacturing production after sensing demand and oil prices! © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 12 cloud environments for IoT applications
  • Indicative Application Areas• Manufacturing: – Sense, Track & Trace Tangible Assets (e.g., Cost of Product, Product Eco-Profile) – Sense, Track & Trace Intangible Assets (e.g., a Quality Control Process)• Branding/Marketing: – Effectiveness of a market campaign – Sensing/Assessing a corporate brand• Reputation Management: – Trust Assessment about an Entity (Business or Individual)• Possibilities are limited by corporate creativity and types of virtual / physical sensors available © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 13 cloud environments for IoT applications
  • Conclusions• The emerging digital «Sensing» Enterprise will be supported through a wider range of physical, virtual and social sensors• The Sensing Enterprise concept can allow companies to sense and measure business value of tangible and intangible assets• Prominent application areas can be found in manufacturing, logistics, branding/marketing, reputation management,…• Enterpises are only limited by creativity in the ways they exploit the multitude of available sensors in order to sense & measure business value © Copyright 2012 Open Source blueprint for large scale self-organizing OpenIoT Consortium 14 cloud environments for IoT applications