Korea EU workshop - solutions and challenges for a Cognitive IoT
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share

Korea EU workshop - solutions and challenges for a Cognitive IoT

  • 531 views
Uploaded on

iCore results and IoT related research challenges as presented during Korea EU workshop, Seoul 01 Oct 2013

iCore results and IoT related research challenges as presented during Korea EU workshop, Seoul 01 Oct 2013

More in: Technology , Business
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
531
On Slideshare
531
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
5
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Internet Connected Objects for  Reconfigurable Eco‐systems iCore EU FP7, project No 287708 iCore cognitive framework: results and  challenges ahead for a Smart IoT Raffaele Giaffreda, iCore Project Coordinator (CREATE‐NET) Seoul, 30 Sept 2013
  • 2. Abstract  Abstract: forecasts about the number of connected devices by 2020 all point to  billions of networked objects. As these numbers increase, there will be growing need  to dynamically interpret and filter the wealth of information such widely distributed  objects will produce, to prepare it and make it useful also across application  domains preventing stovepipes at data level and fostering IoT‐based innovation.  iCore project started contributing solutions to this problem, from virtualisation of  objects to address heterogeneity, moving to means to gather Real World Knowledge  via IoT objects and influence decision‐making in different application domains. The  presentation will show some of the results achieved in iCore and will expose the yet  unaddressed challenges in the domain of solutions that bridge IoT, Cloud and Big  Data.   Research Interest and Need for Collaboration: reliable IoT services for Smart Cities:  the role of broadband access and cloud computing; IoT distributed monitoring as Big  Data generator: use of cognitive technologies for data filtering and interpretation.
  • 3. wealth of sensing data data data data data data data data data data data data data data SENSING data H/W Real World Objects (RWO)
  • 4. unlocking a huge potential data data data data data data data data data data data data data data H/W presence patterns exist ... SENSING Real World Objects (RWO)
  • 5. it’s a complex IoT world...
  • 6. how to address (some of) these problems? data data data data data data data data data data data data data data H/W presence patterns exist ... SENSING Real World Objects (RWO)
  • 7. the iCore solutions data data data data data data data data data data data data data data H/W Real World Knowledge presence System Knowledge derive patterns of ... interpret  data from data to knowledge S/W (RWK) Models (SK) Models SENSING Real World Objects (RWO)
  • 8. CVO Management Unit Real World Knowledge/Model API Service Request Analysis iCore User  Preferences VO FactoryVO Template Repository Service Templates Repository System Knowledge/Model Service Execution Request CVO Registry CVO Templates Repository VO Registry VO Container VO OVOVO VO VO Front End VO Back End: RWO Driver CVO Factory Device  manufac turer API Data  Processing Domain  Expert /   Developer API Domain Expert  /  Knowledge  Engineer API Device  Install er VO Management Unit iCore User API Service Request RWK Design & Store VO Data Session iCore System  Operator API CVO Template  Design & Store APIAPI User Profiling System Administration &  Management System Administration &  Management VO Execution Request RWK Update Situation  Modelling People  modelling Natural Language  Processing CVO Container (Execution) CVOCVOCVOCVOCVO CVO  Situation Observer the iCore Architecture Real World Objects (RWO)
  • 9. Real World Objects (RWO) CVO Management Unit Real World Knowledge/Model API Service Request Analysis iCore User  Preferences VO FactoryVO Template Repository Service Templates Repository System Knowledge/Model Service Execution Request CVO Registry CVO Templates Repository VO Registry VO Container VO OVOVO VO VO Front End VO Back End: RWO Driver CVO Factory Device  manufac turer API Data  Processing Domain  Expert /   Developer API Domain Expert  /  Knowledge  Engineer API Device  Install er VO Management Unit iCore User API Service Request RWK Design & Store VO Data Session iCore System  Operator API CVO Template  Design & Store APIAPI User Profiling System Administration &  Management System Administration &  Management VO Execution Request RWK Update Situation  Modelling People  modelling Natural Language  Processing CVO Container (Execution) CVOCVOCVOCVOCVO CVO  Situation Observer the iCore Architecture
  • 10. Cognitive Inside where and why...  Service Level: gather data relate to actions / situations  and support users (OBSERVE – LEARN – REPLACE)  routine jobs (watering plants, feeding the fish, taking pills,  switch on/off lights)  non‐expert alerts (a fire, a leak, a fault)   Composite Virtual Object: instrumental in  guaranteeing more robust IoT Services.    ability of adding redundancy for fault‐tolerance  approximate services  Virtual Object: create a virtual counterpart for objects  address heterogeneity problems  manage sensor energy and communication resources
  • 11. Cognitive Inside – take‐away messages more reliable and  interoperable IoT (RWK) Models (SK) Models more resilient IoT more dependable IoT support users of future  Smart Cities applications  (routine + alerts) IoT reliability and durability  through VOs IoT resilience and fault  tolerance
  • 12. Planned iCore trials  Tracking of medical equipment in big hospitals (Trento  – Italy)  Smart Santander integration + smart tourist  (Santander – Spain, Athens – Greece)  CBRN Security trial (Thales – France)  Theme Park (China)  any potential opportunities for South Korea  collaboration?
  • 13. Further info / links [REF2] P. Vlacheas, R. Giaffreda et al. "Enabling Smart Cities Through a Cognitive Management Framework for the Internet of Things“, IEEE Communications Magazine - Special Issue on Smart Cities (June 2013) [REF1] IERC April 2013 Newsletter – Foreword (see THIS LINK) [REF3] iCore website (www.iot-icore.eu/latest-news) Best Demo Award at FuNeMS 2013
  • 14. IoT, Cloud and Big Data the challenges ahead...  Big data: “big” relates to the huge number of data sources   have data, patterns exist  Need to purposefully aggregate data  scaling‐up use of machine learning is a challenge...  Cloud: constrained devices and limited scope for data  processing  dynamic deployment of data‐processing resources on the  data‐source  data‐consumer path is a challenge...  IoT Networking: delivery of “object‐produced” data  M2M traffic and dynamic deployment of connectivity  resources is a challenge...
  • 15. Thank you! Raffaele Giaffreda iCore Project Coordinator raffaele.giaffreda@create‐net.org Website: www.iot‐icore.eu iCore EU FP7, project No 28770815