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An Introduction to Ubiquitous and Pervasive Computing

An Introduction to Ubiquitous and Pervasive Computing. Lionel Brunie National Institute of Applied Sciences (INSA) LIRIS Laboratory/DRIM Team – UMR CNRS 5205 Lyon, France http://liris.cnrs.fr/lionel.brunie. Contents of the Course. Definitions and Main Characteristics Basic Issues

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An Introduction to Ubiquitous and Pervasive Computing

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  1. An Introduction to Ubiquitous and Pervasive Computing Lionel Brunie National Institute of Applied Sciences (INSA) LIRIS Laboratory/DRIM Team – UMR CNRS 5205 Lyon, France http://liris.cnrs.fr/lionel.brunie

  2. Contents of the Course • Definitions and Main Characteristics • Basic Issues • Overview of some Research Propositions • A Focus on Context Modeling and Context-Awareness Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  3. Definitions • Mobile • Includes mobile devices • Context-aware • Considers the execution context • Ubiquitous • Accessible from everywhere • Pervasive • Associates ubiquity, mobility and context-awareness • Ambient (intelligence) • Integrated within everyday life Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  4. From S. Frénot A Pervasive System is First, a Distributed System! • Data persistence • Data delivery/exchange • Data distribution • Replication and consistence • Interoperability • Concurrent accesses • “Legacy” systems integration • Security and privacy Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  5. A Pervasive System is also a Mobile System (and a Sensor Network) • Discovery of the environment (services, devices, software…) • Routing and delivery protocols • Fault tolerance • Auto-organization • Service integration • Security, Trust and Privacy • … Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  6. A Pervasive System is also a « User Centric » System • Invisible • « Smart » (do not interrupt me for nothing !) • User preferences aware • Context aware • Self learning • Pro-active • Secure and privacy keeping Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  7. A Pervasive System is also a Collaborative System Mobile/Ambient Social Networks • Ambient social interactions • Heterogeneity • Mobility management • Announces: • Modeling • Scalability and filtering • Semantics • Matching (publish-subscribe ?) • Context • Privacy Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  8. A Pervasive System is also a Collaborative SystemCollective Intelligence - Community • Context awareness and context sensibility • Information fusion → alarms • Sharing and confrontation of knowledge • Provisioning/composition/integration of services • Collaborative learning: histories, execution traces • Semantic emergence • Recommendation Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  9. Basic Issues • Discovery • (Auto-)Organization and routing • Security and privacy • Context-awareness and user awareness (and modeling) • Composition, execution and migration of services • Adaptation (data, services, HMI) • Data availability, delivery and access (cache, replication, persistence…) • Mediation (data, services) and information/service sharing • Traceability and history • HMI – augmented reality • Collective “intelligence”, semantic emergence, social networks • (scalability – low energy consumption – “calm”) Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  10. An Overview of Some Research Propositions Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  11. context Models Adaptation Pervasive Middleware: the PerSE MW • Context-awareness • Proactivity • Service composition Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  12. Architecture of a PerSE Base Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  13. PerSE Layers Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  14. Access Control for Mobile Users: The Chameleon • Chains of trust certificates: if A trusts B and B trusts C then A trusts C… to some level (and while considering subjectivity and access rights mapping) • Multi-layered adaptive certificates (X316 certificate + FeMoS signature) • protection of sensible information • dynamic construction of the certificate and its signature • Trust computing and reputation: cf. further course Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  15. The Chameleon: Architecture Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  16. Interface Adaptation and Context-aware Browsing Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  17. Multimedia Content Adaptation Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  18. A Special Focus onContext Modeling and Context-Awareness Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  19. Context-awareness: Challenges • Environment sensing • sensing • storage • communication Context data & its semantics • Context management • collection • organization • representation • storage • presentation Action Context models • Context-aware service • context reasoning • decision making • action trigger • collaboration Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  20. Context representation • What is context? (complementing definitions by Dey and Winogard) • Context: characteristics, relationships, properties • Context: interpretation (operational term) • Eg. Device has battery life of 3hrs: important only when we are on a trip => Context:How, Where, When, What, Who, and Which • Examples • Bob locatedIn ReadingRoomreportedBy Sensor5 (whoreported it) • Bob locatedIn ReadingRoomhasPrecision 85% (howaccurateis it) • ReadingRoom locatedIn Library (where is it) • locatedIn isTransitive => Bob locatedIn Library Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  21. Context: Issues and Approaches • Context Representation • Markup scheme based approaches • Ontology based approaches • Context Manipulation • Agent and widget based approach • Broker middleware based approach • Service oriented middleware based approach Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  22. GenericLayer Entity(& literals) isA isA isA locatedWith Hierarchicalrelation locatedWith(by symmetric axiom) engagedIn DomainLayer Relation(entity & attribute type relationships) isA isA isA isA attends Axiomaticrelation InstanceOf InstanceOf InstanceOf InstanceOf owns attends hasProfessor hasOwner(by inverse axiom) Metadatarelation hasMemory hasAccuracy The EHRAM Model: an Example Context Entity Person Activity Device Lecture Student Professor Phone Geography Bob Alice SPhone095 1024 85% Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  23. Context management • Objective: serialization of the EHRAM model for storage and processing of context data and its semantics Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  24. Context management       Can we combine the best of the two worlds? Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  25. HCOM: Hybrid modeling approach Context data Process(Database) An hybrid approach Join the results To separate Context semantics Process(Ontology) • HCoM: a Hybrid Context Management model • HCoM separates data from the EHRAM model into Context data Context semantics Rules Context database • HCoM filters out context data before integration (pruning) Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  26. HCoM System Architecture Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  27. Context Usage – Context Exchange – Context-Awareness • Objective: domain independent context-aware platform • CoCA: Collaborative Context-Aware service platform • CoCA consists of • The context data models - HCoM/EHRAM • The RAID-Action engine • The collaboration manager Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing Context-Awareness Motivations State of the Art Context Representation Context Management Discussion/Conclusion

  28. The RAID-Action engine in CoCA • Reasoning • The process of deriving new knowledge using rules, context data and its semantics. • Reasoning rules may be derived from the context semantics or can be defined based on domain policies, rules and regulations. • Aggregation and Interpretation • Integrating numerous contexts into one to raise its level of abstraction. • Decision • Decisions follow from reasoning and they are the major outcomes of the CoCA service. • Actions • Actions are results of decisions and are executed by applications. • Example Given: Students (>1) and a professor in a class room with a video projector switched on and connected to a PC running a power point application! Conclude: Lecture is going on in the room! Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing Context-Awareness Motivations State of the Art Context Representation Context Management Discussion/Conclusion

  29. Peer22 Rendezvous (Router)Peer2 Peer23 Peer12 Collaborations in CoCA – using JXTA protocols Bob’s hand held device (Bob_Smartphone) has got a context message that says Bob’s professor is now in «Coffee Room» . In order to perform reasoning and suggest some action to Bob, Bob_Smartphone needs some semantics on the concept “Coffee Room”. Now, Bob_Smartphone has the necessary information about the concept «Coffee Room» to perform reasoning and to suggest actions to its owner BoB Context Data Transfer Discovery? Response+ Peer21 Bob_ Smartphone Discovery? Discovery? Discovery? Discovery? Discovery? Rendezvous(Router) Peer1 CoCA peers • Self-organize into peer groups • Discover each other • Discover each other’s services and resources • Uses JXTA P2P protocol Peer Group2 Peer Group1 Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing Context-Awareness Motivations State of the Art Context Representation Context Management Discussion/Conclusion

  30. CoCA Architecture Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  31. Feedback on Context Modeling and Awareness • A good point: it works • It could work • It can work in a closed/well-defined environment • interoperability issues • no lingua franca • semantic gap • trust and security issues • low resources devices • scalability • large intersection with the agenda of the Internet of Things! • Handling uncertainty • Handling trust and privacy Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  32. Conclusion • Ubiquitous computing => user centricity => context-awareness • Ubiquitous computing => user centricity => content adaptation (cf. keynote) • Key issues • application adaptability/flexibility • interoperability • scalability • standardization • identity • privacy Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

  33. Open Discussion (from keynote) • The User Intention (i.e., the Why question): the Holy Graal of “calm IT”? • Sensing the environment • Embedded sensors • Internet of Things? Next-Generation Internet? • Still widely open issues, esp. wrt inter-operability • Modeling the context • The Babel Tower • Context-Awareness, Tracing, Pro-Activity, Calm • sine qua non condition to a seamless integration into the user life • Quality of Experience? • User privacy? User control? • Personalization vs privacy • Pro-Activity ? • Calm: a technological issue or a psycho-social issue? Master Course, Lyon, January 2015 - Ubiquitous and Pervasive Computing

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