Slides for Chapter 16: Mobile and Ubiquitous Computing From Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edition 4, © Addison-Wesley.

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Slides for Chapter 16: Mobile and Ubiquitous Computing From Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edition 4, © Addison-Wesley 2005

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.1 A room responding to a user wearing an active badge 2. Infrared sensor detects user ユ s ID Hello Roy 1. User enters room wearing active badge User ユ s ID 3. Display responds to user Infrared

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.2 Examples of pre-configured versus spontaneous association Pre-configuredSpontaneous Service-driven: client and server Human-driven: web browser and web servers Data-driven: P2P file-sharing applications Physically-driven: mobile and ubiquitous systems

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.3 The interface to a discovery service Methods for service de/registrationExplanation lease := register(address, attributesRegister the service at the given address with the given attributes; a lease is returned refresh(lease)Refresh the lease returned at registration deregister(lease)Remove the service record registered under the given lease Method invoked to look up a service serviceSet := query(attributeSpecification) Return a set of registered services whose attributes match the given specification

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.4 Service discovery in Jini Printing service Lookup service Lookup Printing service admin admin, finance finance Client Corporate infoservice 2. Here I am: Use printing service Network 3. Request ‘printing’ 1. ‘finance’ lookup service

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.5 The IdentityPresence widget class of the Context Toolkit Attributes (accessible by polling)Explanation LocationLocation the widget is monitoring IdentityID of the last user sensed TimestampTime of the last arrival Callbacks PersonArrives(location, identity, timestamp) Triggered when a user arrives PersonLeaves(location, identity, timestamp) Triggered when a user leaves

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.6 A PersonFinder widget constructed using IdentityPresence widgets

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.7 Directed diffusion A. Interest propagation source sink B. Gradients set up C. Data delivery source sink source sink

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.8 Some location-sensing technologies TypeMechanismLimitationsAccuracyType of location dataPrivacy GPSMultilateration from satellite radio sources Outdoors only (satellite visibility) 1 – 10m Absolute geographic coordinates (latitude, longitude, altitude) Yes Radio beaconing Broadcasts from wireless base stations (GSM, , Bluetooth) Areas with wireless coverage 10m – 1km Proximity to known entity (usually semantic) Yes Active BatMultilateration from radio and ultrasound Ceiling sensors 10cmRelative (room) coordinates. Bat identity disclosed Ultra Wide Band Multilateration from reception of radio pulses Receiver in stallations 15cmRelative (room) coordinates Tag identity disclosed Active badge Infrared sensingSunlight or fluorescent light Room sizeProximity to known entity (usually semantic) Badge identity disclosed Automatic identification tag RFID, Near Field Communication, visual tag (e.g. barcode) Reader installations 1cm – 10m Proximity to known entity (usually semantic) Tag identity disclosed Easy LivingVision, triangulation Camera installations VariableRelative (room) coordinates No mounted

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure 16.9 Locating an active bat within a room 3. Ultrasound receivers 2. Active bat 1. Base station sends timing signal to ultrasound receivers and radio signal to bat simultaneously emits ultrasound signal on receipt of radio signal report times of flight of ultrasound pulse 4. Base station computes distances to ultrasound receivers from times of flight, and thus position of bat

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure Secure device association using physical contact 1. Fresh secret keyK exchanged by physical contact2. Devices communicate using secure channel W constructed overW usingK K

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure Detecting a man-in-the-middle K1 K2 Man-in-the-middle hash=0x6F9E... hash=0xD57C User(s) compare hashes of keys displayed on devices – by sight or with an integrated imaging device. Since they differ, they conclude that there is a man-in-the-middle or that accidental 1. Keys exchanged by Diffie-Hellman protocol mis-association has occurred Device displaying hash of key

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure Cooltown layers Web presences Direct URL sensing ID resolution ID sensing Network service Discovery Context (aggregated web presences) eSquirt: URL exchange Physical hyperlinks

Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Addison-Wesley Publishers 2005 Figure Capturing and printing the web presence of a painting A. User captures URL of painting’s web presence beacon B. User sends URL to printer using eSquirt, to print PDA or phone painting’s web presence painting