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iCore: use of virtualised objects
and cognitive technologies in IoT
  Raffaele Giaffreda (CREATE-NET)
  EU FP7 iCore Project Coordinator
        First Italian IoT Day
       Trento 9 March 2013           #iotitaly
transistor density / space efficiency




Turing’s Pilot ACE: Automatic
     Computing Engine
bandwidth / spectral efficiency
Space Efficiency + Spectral Efficiency =
 MAZE OF TINY, CONNECTED THINGS




        Trend: more and more widespread sensing and monitoring data available
an example: the car



                     DATA /
                  INFORMATION
                    OVERLOAD

HUMAN
        MACHINE




                                MACHINE
                                         HUMAN




                       Trend: much more data than we can cope with
DATA / INFORMATION OVERLOAD, BUT...
  siloed and bespoke IoT applications


    APPS     APPS      APPS       APPS         APPS
                                                APPS
                                                 APPS
                                                   APPS
                                                    APPS




                                   PATIENT




                                                         PATIENT
                        FRIDGE
              HOUSE
                                                     APPS




                                                       PATIENT
    CAR




                                                       APPS




                                                      PATIENT
                                                    PATIENT
                                                  PATIENT
                                                 PATIENT
                                                TRUCK
  SENSORS   SENSORS   SENSORS    SENSORS     SENSORS
                                              SENSORS
                                                SENSORS
                                                 SENSORS
                                                   SENSORS
                                                    SENSORS
                                                      SENSORS
IoT innovation potential...

HUMAN
        MACHINE

                         “Innovation”: one
                        can focus on apps!!!




                          MACHINE
                                 HUMAN
        OBD
 On Board Diagnostics
IF A WELL-DEFINED INTERFACE INTO CAR SENSORS BRINGS SUCH POTENTIAL...




      APPS        APPS        APPS         APPS         APPS
                                                         APPS
                                                          APPS
                                                            APPS
                                                             APPS




                                            PATIENT




                                                                  PATIENT
                               FRIDGE
                   HOUSE
                                                              APPS




                                                                PATIENT
       CAR




                                                                APPS




                                                               PATIENT
                                                             PATIENT
                                                           PATIENT
                                                          PATIENT
                                                         TRUCK
    SENSORS     SENSORS      SENSORS     SENSORS      SENSORS
                                                       SENSORS
                                                         SENSORS
                                                          SENSORS
                                                            SENSORS
                                                             SENSORS
                                                               SENSORS
iCore concepts
• Virtual Object
• Composite Virtual
  Object
• Service / User Level
Virtual Object as OBD across silos
                                                      To upper iCore levels and Internet
                        VO registry
                                                              IoT services
     Semantic VO descriptions


                                Virtual Object SW Agent

                                                     IoT services




                                                                                     Abstraction
                  Proprietary services

                                            ICT objects
                                      (heterogeneous world)

                                      Sensors and actuators

                                 Associated physical objects


10
what ingredients?

• common interfaces to interact with objects
  (i.e. REST)
• + extra containers for metadata
• let the systems know what the object is good
  for, its location (“I am a Temp sensor in Room
  A”), its accuracy, its energy levels etc.
WHAT ARE VOs GOOD FOR?
• OBJECTS REUSE
   – reuse across different apps, increase availability,
     hence, increase monitoring / sensing granularity
• OBJECTS MGMT
   – i.e. energy management, contextualised sensing
     (accuracy vs. sensing frequency) etc.
• OBJECTS PROXIMITY
   – automated selection “by relevance” (see arguments
     for cognitive technologies in a minute...)

Providing IoT systems the ability to self-configure, based on various requirements, and ...
...providing IoT systems the ability to adapt



    APPS           APPS           APPS              APPS




                                                     PATIENT
                                   FRIDGE
                    HOUSE
     CAR




   SENSORS       SENSORS         SENSORS         SENSORS       PATIENT is driving the CAR
                                                                  CAR is near the HOUSE
                                                               PATIENT is near the FRIDGE
                                                                     objects reuse
                                                                    across domains

             KitchenPresDetect              PatientStatusDetect

                                            Easy for us...not for a “dumb” computer...
the need for cognitive technologies
• iCore Composite Virtual Object (CVO)
    – aggregation of simple sensing capability
    – self-maintenance (service maintained in case of
      failure) increased sensing granularity needed!
    – System Knowledge
         • what is available to meet reqs?
ability to select alternatives based on
what metadata we put in the extra VO
containers
         “smart but not so much...”

  CT 1
the need for cognitive technologies
• iCore Service Level and overall Cognitive
  Management Framework




CT 2,3
DATA / INFORMATION OVERLOAD
                                         IF “crash”
                           sight         THEN “alertRSA”


                                   <
                           distributed
                             sensing




  sight   hearing
  centralised
    sensing
smell       touch


            >
                    CT 2
the need for cognitive technologies
• factoring “smart logic algorithms” out of developers
  concerns
    – IF “crash” THEN “alertRSA”
    – “crash” (IF VO_x = TRUE THEN crash := TRUE)
    – (IF VO_x = TRUE AND VO_y = TRUE THEN crash := TRUE)

• iCore community: foster “ready meals” for IoT apps
                                        factor out cognitive technologies
        VO_x
            TAG:
                                         IF VO_x = TRUE
           crash
                                         THEN crash := TRUE
           detect
                                  IF (VO_x = TRUE) AND (VO_y = TRUE)
        VO_y                      THEN crash := TRUE
            TAG:
                                  IF (VO_x > TH_x) AND (VO_y > TH_y)
           crash
 CT 2      detect
                                  THEN crash := TRUE
the need for cognitive technologies
• rather than for the selection of appropriate templates,
  here focus is on refinement of selected one according
  to observed system-reality matching
• Real-World-Knowledge “growing”



       VO_x                                REFINE
           TAG:                         TH_x, and TH_y
          crash
          detect
                                                                       assess
                                IF (VO_x > TH_x) AND (VO_y > TH_y)   QUALITY of
       VO_y                     THEN crash := TRUE                   PREDICTION
           TAG:
          crash
CT 3      detect
Summary

  iCore and Cognitive Technologies
• CVO Level “system knowledge”
   – SLA-driven VO selection / maintainance                    CT 1
   – semantic enrichment semantic-based reasoning
   – selection by relevance to the needs of the application
• deal with data / information overload
   – template select                                                  CT 2
   – given VO / CVO “types” find best algorithms that combine
     these for desired output
• deal with data / information overload
   – learn and predict
   – given an algorithm, tweak parameters to better align iCore
     system behaviour to the observed real situation
   – Real World Knowledge (RWK) “growing”                       CT 3
main envisaged applications of iCore results

• smart-cities and IoT-based monitoring

  [REF1] P. Vlacheas, R. Giaffreda et al. "Enabling Smart Cities Through
  a Cognitive Management Framework for the Internet of Things“,
  to appear in IEEE Communications Magazine - Special Issue on
  Smart Cities (June 2013)


  [REF2] 7th May 2013
  The Sensing Smart City workshop
The Internet of Things evolution timeline
YESTERDAY          TODAY             TOMORROW

The Dumb IoT   The Craft IoT     The Cognitive IoT




                               Bear with us, we are building it!
thank you!
iCore Website                                               ID Card
www.iot-icore.eu
                                    3 yrs EU FP7 Integrated Project
Contacts:                           (started 1st Oct 2011)
                                    20 Partners with strong industrial
Raffaele Giaffreda                  representation
raffaele.giaffreda@create-net.org   8.7mEur EU Funding
                                    EU + China and Japan

Abdur Rahim
abdur.rahim@create-net.org




                                                                Japan

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Cognitive IoT at first Italian IoT day 9 April 2013

  • 1. iCore: use of virtualised objects and cognitive technologies in IoT Raffaele Giaffreda (CREATE-NET) EU FP7 iCore Project Coordinator First Italian IoT Day Trento 9 March 2013 #iotitaly
  • 2. transistor density / space efficiency Turing’s Pilot ACE: Automatic Computing Engine
  • 3. bandwidth / spectral efficiency
  • 4. Space Efficiency + Spectral Efficiency = MAZE OF TINY, CONNECTED THINGS Trend: more and more widespread sensing and monitoring data available
  • 5. an example: the car DATA / INFORMATION OVERLOAD HUMAN MACHINE MACHINE HUMAN Trend: much more data than we can cope with
  • 6. DATA / INFORMATION OVERLOAD, BUT... siloed and bespoke IoT applications APPS APPS APPS APPS APPS APPS APPS APPS APPS PATIENT PATIENT FRIDGE HOUSE APPS PATIENT CAR APPS PATIENT PATIENT PATIENT PATIENT TRUCK SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS
  • 7. IoT innovation potential... HUMAN MACHINE “Innovation”: one can focus on apps!!! MACHINE HUMAN OBD On Board Diagnostics
  • 8. IF A WELL-DEFINED INTERFACE INTO CAR SENSORS BRINGS SUCH POTENTIAL... APPS APPS APPS APPS APPS APPS APPS APPS APPS PATIENT PATIENT FRIDGE HOUSE APPS PATIENT CAR APPS PATIENT PATIENT PATIENT PATIENT TRUCK SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS SENSORS
  • 9. iCore concepts • Virtual Object • Composite Virtual Object • Service / User Level
  • 10. Virtual Object as OBD across silos To upper iCore levels and Internet VO registry IoT services Semantic VO descriptions Virtual Object SW Agent IoT services Abstraction Proprietary services ICT objects (heterogeneous world) Sensors and actuators Associated physical objects 10
  • 11. what ingredients? • common interfaces to interact with objects (i.e. REST) • + extra containers for metadata • let the systems know what the object is good for, its location (“I am a Temp sensor in Room A”), its accuracy, its energy levels etc.
  • 12. WHAT ARE VOs GOOD FOR? • OBJECTS REUSE – reuse across different apps, increase availability, hence, increase monitoring / sensing granularity • OBJECTS MGMT – i.e. energy management, contextualised sensing (accuracy vs. sensing frequency) etc. • OBJECTS PROXIMITY – automated selection “by relevance” (see arguments for cognitive technologies in a minute...) Providing IoT systems the ability to self-configure, based on various requirements, and ...
  • 13. ...providing IoT systems the ability to adapt APPS APPS APPS APPS PATIENT FRIDGE HOUSE CAR SENSORS SENSORS SENSORS SENSORS PATIENT is driving the CAR CAR is near the HOUSE PATIENT is near the FRIDGE objects reuse across domains KitchenPresDetect PatientStatusDetect Easy for us...not for a “dumb” computer...
  • 14. the need for cognitive technologies • iCore Composite Virtual Object (CVO) – aggregation of simple sensing capability – self-maintenance (service maintained in case of failure) increased sensing granularity needed! – System Knowledge • what is available to meet reqs? ability to select alternatives based on what metadata we put in the extra VO containers “smart but not so much...” CT 1
  • 15. the need for cognitive technologies • iCore Service Level and overall Cognitive Management Framework CT 2,3
  • 16. DATA / INFORMATION OVERLOAD IF “crash” sight THEN “alertRSA” < distributed sensing sight hearing centralised sensing smell touch > CT 2
  • 17. the need for cognitive technologies • factoring “smart logic algorithms” out of developers concerns – IF “crash” THEN “alertRSA” – “crash” (IF VO_x = TRUE THEN crash := TRUE) – (IF VO_x = TRUE AND VO_y = TRUE THEN crash := TRUE) • iCore community: foster “ready meals” for IoT apps factor out cognitive technologies VO_x TAG: IF VO_x = TRUE crash THEN crash := TRUE detect IF (VO_x = TRUE) AND (VO_y = TRUE) VO_y THEN crash := TRUE TAG: IF (VO_x > TH_x) AND (VO_y > TH_y) crash CT 2 detect THEN crash := TRUE
  • 18. the need for cognitive technologies • rather than for the selection of appropriate templates, here focus is on refinement of selected one according to observed system-reality matching • Real-World-Knowledge “growing” VO_x REFINE TAG: TH_x, and TH_y crash detect assess IF (VO_x > TH_x) AND (VO_y > TH_y) QUALITY of VO_y THEN crash := TRUE PREDICTION TAG: crash CT 3 detect
  • 19. Summary iCore and Cognitive Technologies • CVO Level “system knowledge” – SLA-driven VO selection / maintainance CT 1 – semantic enrichment semantic-based reasoning – selection by relevance to the needs of the application • deal with data / information overload – template select CT 2 – given VO / CVO “types” find best algorithms that combine these for desired output • deal with data / information overload – learn and predict – given an algorithm, tweak parameters to better align iCore system behaviour to the observed real situation – Real World Knowledge (RWK) “growing” CT 3
  • 20. main envisaged applications of iCore results • smart-cities and IoT-based monitoring [REF1] P. Vlacheas, R. Giaffreda et al. "Enabling Smart Cities Through a Cognitive Management Framework for the Internet of Things“, to appear in IEEE Communications Magazine - Special Issue on Smart Cities (June 2013) [REF2] 7th May 2013 The Sensing Smart City workshop
  • 21. The Internet of Things evolution timeline YESTERDAY TODAY TOMORROW The Dumb IoT The Craft IoT The Cognitive IoT Bear with us, we are building it!
  • 22. thank you! iCore Website ID Card www.iot-icore.eu 3 yrs EU FP7 Integrated Project Contacts: (started 1st Oct 2011) 20 Partners with strong industrial Raffaele Giaffreda representation raffaele.giaffreda@create-net.org 8.7mEur EU Funding EU + China and Japan Abdur Rahim abdur.rahim@create-net.org Japan