The document discusses the OpenIoT project, which aims to develop an open-source middleware platform for large-scale self-organizing cloud environments for IoT applications. OpenIoT will enhance an existing open-source sensor middleware to integrate sensor cloud infrastructures and support standards. It aims to enable utility-based IoT services using semantic technologies. OpenIoT could help enterprises gain insights through physical, virtual, and social sensors to track assets and brand effectiveness.

1. 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 2012
OpenIoT Consortium

2. 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
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3. 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
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4. 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

5. 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
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6. 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
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OpenIoT Consortium
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7. Draft Architecture
© Copyright 2012 Open Source blueprint for large scale self-organizing
OpenIoT Consortium
7 cloud environments for IoT applications

8. 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
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OpenIoT Consortium
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9. SSN-XG Ontology Structure
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OpenIoT Consortium
9 cloud environments for IoT applications

10. SSN-XG Ontology Structure
© Copyright 2012 Open Source blueprint for large scale self-organizing
OpenIoT Consortium
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11. 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)
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OpenIoT Consortium
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12. 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!
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OpenIoT Consortium
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13. 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
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OpenIoT Consortium
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14. 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