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Title:	The Internet of things enabling technologies, platforms, and use cases
From:	Pethuru Raj, Anupama C. Raman
Person:	Chelliah, Pethuru Raj ca. 20./21. Jahrhundert Verfasser aut Raman, Anupama C.
Main Authors:	Chelliah, Pethuru Raj ca. 20./21. Jahrhundert (Author), Raman, Anupama C. (Author)
Format:	Book
Language:	English
Published:	Boca Raton CRC Press [2017]
Subjects:	Internet der Dinge
Online Access:	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029635023&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Item Description:	Hier auch später erschienene, unveränderte Nachdrucke
Physical Description:	XXVII, 364 Seiten Illustrationen
ISBN:	9781498761284 9781032339719

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adam_text	Contents Foreword.xix Preface.xxi Acknowledgments.xxv About the Authors.xxvii 1 Demystifying the IoT Paradigm.1 Why the IoT Is Strategically Sound.2 IoT Leads to Smarter Computing.2 IoT Delivers Smarter Environments.3 IoT Prescribes the Shift toward People IT.4 The Brewing and Blossoming Trends in IT Space.4 The Key Drivers for the IoT Discipline.4 Everything Gets Service-Enabled.5 Big Data Becomes Big Insights.5 Envisioning Software-Defined Clouds.6 The Diversity of IoT Data Sources.6 The Technology Space.7 The Process Space.7 Infrastructure Space.7 Architecture Space.7 Envisioning the Internet of Things Era.8 Deeper Digitization toward Smart Objects or Sentient Materials.8 The Connected Devices.9 Adaptive Applications.10 Illustrating the Device-to-Device/Machine-to-Machine Integration Concept.10 The Popular M2M Applications.11 Smart Energy.11 Smart Health Care.11 Smart Home Security.11 Smart Cargo Handling.12 Smart Traffic Management. 12 Smart Inventory and Replenishment Management.12 Smart Cash Payment.12 Smart Tracking.17 Smart Displays. 17 v vi ■ Contents Smarter Manufacturing.13 Smart Asset Management. 13 Smarter Retailing.14 Explaining the Aspect of Device-to-Cloud (D2C) Integration.14 Clouds Infrastructures for Next-Generation Device Applications.13 Cloud Infrastructures for IoT Data Analytics.15 Cloud Infrastructures for Smartphone Services.16 The Emergence of the IoT Platform as a Service (PaaS).16 Device Management. 16 The Real-Time Analytics of IoT Big Data.16 Integration with Enterprise Systems.17 Digging into the Cloud-to-Cloud (C2C) Integration Paradigm.17 An IoT Application Scenario.18 Describing the Sensor-to-Cloud Integration Concept.19 Storage.20 Azure IoT Hub Device Management.20 Homeland Security and the Sensor Cloud.22 The Prominent IoT Realization Technologies.23 The IoT: The Key Application Domains.24 The IoT Challenges and the Research Domains.26 The Research Domains.27 The Emerging IoT Flavors.27 The Industrial Internet of Things (IIoT).28 Consumer Internet of Things (CIoT).31 Social Internet of Things (SIoT).32 Semantic Internet of Things (SIoT).33 Why Semantics for the Interoperable IoT.35 Cognitive Internet of Things (CIoT).36 Envisioning Cognitive IoT.36 Conclusion.37 Bibliography.38 2 Realization of IoT Ecosystem Using Wireless Technologies.39 Introduction.40 Architecture for IoT Using Mobile Devices.41 Mobile Technologies for Supporting IoT Ecosystem.43 5G Technology.43 Software-Defined Networking.43 Network Functions Virtualization.44 5G Architecture.46 Ultra Wide Band Technology.46 How UWB Works.47 ISO 18000 7DASH7. 47 Near Field Communication Technology.48 Energy Harvesting for Power Conservation in the IoT System.49 Architecture of an Energy Harvesting Terminal for a Wireless Sensor Network.50 Mobile Application Development Platforms.51 Contents ■ vii Mobile Use Cases for IoT.53 Low Power Wide Area Networking Technologies.53 LPWAN Network Topologies.55 Direct Device Connectivity Topology of LPWAN.55 Indirect Device Connectivity through a LPWAN Gateway.56 Sigfox.56 Binary Phase Shift Keying.57 Weightless.57 Weigh tless-P.57 Weightless-N.57 Weightless-W. 58 NWave.58 Ingenu.58 Random Phase Multiple Access.58 LoRa.59 Conclusion.59 Bibliography.60 3 Infrastructure and Service Discovery Protocols for the IoT Ecosystem. 61 Introduction..62 Layered Architecture for IoT.62 Objects Layer.63 Object Abstraction Layer. 63 Service Management Layer.63 Application Layer.63 Business Layer.64 Protocol Architecture of IoT.64 Infrastructure Protocols.64 Routing Protocol.64 IEEE 802.15.4. 66 IPv6 over Low-Power Wireless Personal Area Networks.68 Network Architecture of 6L0WPAN.68 Protocol Stack of 6L0WPAN.70 Bluetooth Low Energy.71 Generic Attribute Profile.72 Attribute Protocol. 72 Security Manager Protocol.72 EPCglobal.73 Long Term Evolution-Advanced.73 Z-Wave.75 Components of Z-Wave Network.75 ZigBee.76 Device or Service Discovery for IoT.77 Bluetooth Beacons. 77 Wi-Fi Aware.77 Physical Web. 78 Open Hybrid. 78 viii ■ Contents Shazam. 78 Chirp. 78 How Chirp Works.79 Protocols for IoT Service Discovery.79 multicast Domain Name System (mDNS).79 DNS Service Discovery.80 Universal Plug and Play.81 Prominent IoT Service Discovery Products Available in the Market.82 Bonjour.82 Consul.83 Basic Architecture of Consul.83 Alljoyn.83 Conclusion.84 References.84 4 The Integration Technologies and Tools for IoT Environments.85 Introduction.86 IoT Communication Protocol Requirements.87 The IoT Portion for Smarter Enterprises and Environments.88 The Growing Importance of the IoT Paradigm.88 The Meteoric Rise of Device Ecosystem.88 The Dazzling Growth of Operational and Transactional Systems.89 Deeper and Decisive Data Analytics..89 The Emergence of Pioneering Analytics (Generic as well as Specific). 90 State-of-the-Art Data Science Tools.90 Sensor and Actuator Networks. 91 Sensor-to-Cloud Integration.93 The IoT Device Integration Concepts, Standards, and Implementations.95 Machine-to-Machine Communication.95 Service Oriented Device Architecture for Device Integration.96 An Illuminating Use Case..97 Device Profile for Web Services.97 About the DPWSim Development Toolkit.99 The Reference Architecture for Smarter Hospitals.100 Messaging Methods: Pub or Sub and Point-to-Point.100 Node DPWS: Efficient Web Services for the IoT.101 The Open Service Gateway Initiative Standard.102 Scalability.103 Robustness.103 Remote OSGi. 104 Eclipse Kura.104 openHAB. 105 The REST Paradigm.106 The Device Connectivity via the OPC Standard. 106 The Device Integration Protocols and Middleware. 107 Message Queue Telemetry Transport.108 Extensible Messaging and Presence Protocol. 110 Contents ■ ix ejabberd. 110 Data Distribution Bus. Ill Advanced Message Queuing Protocol.112 Constrained Application Protocol.114 The Protocol Landscape for IoT.116 Conclusion. 117 Bibliography. 117 5 The Enablement Platforms for IoT Applications and Analytics.119 Describing the IoT Journey. 120 The IoT Building Blocks. 121 Digitized Entities and Connected Devices. 121 IoT or Sensor Data Gateway. 121 Application Enablement Platforms. 122 Data Analytics Platforms.122 Knowledge Discovery and Dissemination. 122 Storage, Backup, and Archival. 122 Cognitive Clouds. 123 The Major Players in the IoT Space. 123 A Few Enthralling IoT Use Cases.124 IoT Application Enablement Platforms.125 Characterizing IoT or Machine-to-Machine Application Platforms.125 IoT AEPs—The Architectural Building-Blocks.128 IoT and M2M Sensor Data Platform by AerCloud.129 ThingWorx IoTAEP.130 ORBCOMM IoT Platform.131 Azure IoT Hub.132 Amazon Web Service IoT Platform.132 The Axeda IoT Platform.133 The IoT Data Analytics Platforms. 134 IBM Watson IoT Platform.135 ParStream IoT Analytics Platform. 136 Vitria IoT Analytics Platform. 137 Pentaho IoT Analytics Platform. 137 Splunk Software for IoT Data. 138 Guavus IoT Analytics Platform. 139 Virdata IoT Analytics Platform. 140 The IoT Data Virtualization Platforms. 141 The Key Capabilities Data Virtualization Delivers.142 IoT Data Visualization Platform.142 Car Counter. 144 The IoT Edge Data Analytics. 144 Key Features and Highlights for Developers. 145 Conclusion.146 The IoT Analytics Platforms—The Links.146 x ■ Contents 6 The Next-Generation Clouds for IoT Applications and Analytics.149 Introduction.150 Reflecting the Cloud Journey. 151 About Technology Choice. 151 Software-Defined Clouds for IoT.151 The Enigma of Commoditization. 152 About the Cloud Technology.153 The Cloud Service Ecosystem.154 The Key Motivations for Cloud-Enabled Environments..155 A Look at Cloud-Inspired Enterprise Transformations. 156 The Emergence of Cloud Environments.156 Energy Optimization.157 IoT and Cloud-Inspired Smarter Environments.158 Smarter Environments.158 Smarter Homes.159 Smarter Grids.161 IoT and Cloud for Smarter Cities. 161 Sensor-Cloud Integration for Smarter Cities.162 Social and Sensor Data Fusion in Cloud.162 Smarter Health Care.163 Cloud-Inspired Smarter Health Care Services. 164 The Era of Hybrid Clouds.165 Envisioning Federated Clouds.165 Cloud Federation Approaches.166 Special-Purpose Clouds. 167 Device Clouds. 168 The Emergence of Edge/Fog Clouds. 170 The Compelling Use Cases for Next-Gen Edge Clouds. 171 Use Cases—The Computation and Actionable Insights.171 The Storage Use Cases.172 Data Dissemination.173 Mobile-Edge Computing (MEC).173 Edge Analytics-Enabled Smarter Traffic Systems.174 The Architectural Components of the Smarter Traffic System.174 Tending toward Software-Defined Clouds. 175 The Building Blocks of Software-Defined Clouds. 177 Software-Defined Networking (SDN). 177 The Key Motivations for SDN.178 The Need of SDN for the Cloud.179 Software-Defined Storage (SDS)..180 Cloud-Based Big Data Storage.181 The Key Characteristics of Software-Defined Storage.182 The Onset of Cognitive Clouds. 182 Conclusion. 183 References.. 183 Contents ■ xi 7 Describing the Emerging Field of IoT Data Analytics.185 Introduction. 186 The Principal Steps toward Knowledge Discovery and Dissemination. 187 The Rewarding Repercussions of the Data Explosion. 188 Describing Big Data Analytics. 188 The Strategic Importance of Big Data Analytics. 189 Big Data Analytics: The Prominent Use Cases. 191 Customer Satisfaction Analysis. 191 Market Sentiment Analysis. 191 Epidemic Analysis.192 Using Big Data Analytics in Health Care.192 Machine Data Analytics by Splunk.193 Real-Time and Streaming Analytics. 196 Expounding the IoT Data Analytics Domain. 199 The Key Drivers for IoT Data Analytics.199 The Key Movements and Motivations of IoT Data.200 The Emergence of Edge Clouds for Real-Time Insights.201 Deep Diving and Digging into Edge Analytics.202 The Renowned Edge Analytics Use Cases.203 Smart Water System.203 Smarter Grid.203 Smarter Homes and Buildings.203 Smarter Retailing. 204 Self-Maintaining Trains.204 Smarter Mines.204 Device Integration.204 Smarter Traffic Systems.204 The Architectural Components of the Smarter Traffic System.205 The Key Capabilities of Next-Generation IoT Data Analytics Platforms.207 The Key Capabilities.208 The Prime Modules of IoT Data Analytics Platforms. 209 The Reference Architecture for IoT Data Analytics Platform.209 The Renowned Use Cases for IoT Data Analytics.211 Connected Cars.211 The Data Analytics Locations. 212 Why Have Cloud-Based IoT Data Analytics?.213 The Distinct Capabilities of IoT Data Analytics Platforms.214 Conclusion.216 Bibliography.216 8 Expounding the Edge/Fog Computing Paradigm.217 Introduction.218 The Introduction of Fog/Edge Computing.219 Fog versus Edge Computing.220 Illustrating the Game-Changing IoT Journey.221 It Is All About the Extreme and Deeper Connectivity.221 xii ■ Contents The Humongous Volumes of IoT Data.223 Major IoT Data Types.224 Measurement Data.224 Event Data.224 Interaction and Transaction Data.224 Diagnostics Data.224 Describing the Fog Computing-Like Concepts.225 Local/Proximate Clouds.225 Cloudlet Facilities.225 Why Cloudlet-Like Arrangement Is Mandated?.226 Mobile Edge Computing (MEC).226 Mobile Cloud Computing (MCC).227 The Use Cases of Fog/Edge Computing.227 Smart Homes.228 Smart Grids.228 Wireless Sensor and Actuator Networks.228 Smart Vehicles.229 Smarter Security.229 Smart Buildings.229 IoT and Cyber-Physical Systems.230 Software-Defined Networking.230 Why Is Fog Computing Crucial for the Envisaged IoT Success?.230 Weeding Out Irrelevant Data at the Source. 231 Real-Time IoT Data Analytics.231 Instantaneous Response.231 Resource-Constrained Sensors Behind Fog Devices.231 IoT Data Security.231 The Formation of Edge Clouds.232 Building Composite Applications.232 Policy-Based Fog Devices.232 Delving into Fog/Edge Analytics.233 The Greatness of Edge Data.233 Edge Analytics: The Prominent Use Cases.234 IoT Sensor Data Monitoring and Analysis.234 Remote Monitoring and Analysis of Oil and Gas Operations.234 Smarter Cities.235 Smart Retailers.235 Smart Automobiles. 235 Smart Manufacturing.236 Facilities and Asset Management.237 Carving Out Edge Clouds for Edge Analytics.237 Deep Diving and Digging into the Aspect of Edge Analytics.238 Introducing Integrated Fog Computing Platforms.239 The OSGi Standard for Building Device Management Frameworks.240 The Eclipse Kura—An IoT Device Management and Analytics Platform.241 Everyware Software Framework.242 Apache Quarks.243 Contents ■ xiii Predixion Software.243 The Solair Smart Gateway.244 The Solair Platform—IoT Devices: The Integration Options.245 Direct Collection.245 Mobile Bridge.245 Smart Gateway.245 Altiux Innovations. 246 ParStream Edge Analytics Appliance.246 Dell Edge Gateway 5000 Series.246 Conclusion.247 Bibliography.247 Envisioning Futuristic Smart Airports Using IoT Integration.249 Introduction.250 Airport Infrastructure. 251 Airport 1.0.252 Airport 2.0.253 Personal Technology/Processes for Passengers.253 Mobile Applications for Air Travel Passengers.253 Technology/Processes to Streamline Passenger Journey.254 Interactive Displays and Bill Boards in Airports.254 Technology/Processes to Enhance Passenger Experience.254 Interactive Surfaces.254 Processes for Increased Leisure Experience.255 Finnish Sauna at Helsinki Airport. 255 Free Sightseeing Tour at Changi Airport, Singapore.255 Free Cooking Classes at Paris Orly Airport.256 Traditional Culture Workshops at Incheon International Airport, South Korea.256 Airport 3.0.256 Mobile Devices in Airports.257 Social Media Applications in Airports.259 Source: Amadeus Survey.260 Mobile Applications for Airports.261 Mobile Technologies. 262 Quick Response Codes in Airports for Mobile Check-In.262 Near Field Communication.263 Telepresence.264 Wireless Broadband. 264 RFID/Sensors.264 Biometric Passports.264 Other Biometric Applications in Airports.265 RFID-Based Tracking of Baggage in Airports.265 Beacons for Airports.266 Applications of Beacons for Airports.267 Tracking Passenger Location. 267 Triggering Mobile Boarding Passes.267 Navigating the Airport.267 xiv ■ Contents Promotions at Retail Outlets in Airports.267 Baggage Reclaim.267 Wearable Technology.268 Benefits of Wearable Devices.269 Use Cases of Wearables for Airports.269 Passenger Baggage Tracking.270 Operational Efficiencies of Airports.270 Other Supporting Technologies for Smart Airports.270 Cloud Computing.270 Big Data and Predictive Analytics.271 Conclusion.271 References.272 1 0 Envisioning Smart Health Care Systems in a Connected World.273 Introduction.274 Clinical Care.275 Remote Monitoring.275 Other Interesting Use Cases of IoT.276 Enabling Technologies which Make IoT in Health Care Possible.279 Challenges in the IoT Health Care Sector.279 Future Trends for IoT in Health Care. 280 Ingestible Sensor.280 Digital Medicine. .281 Mobile Apps in Health Care Sector.282 Cloud and Big Data Analytics in the Health Care Sector.282 Cloud Services in Health Care Sector.283 Electronic Storage of Medical Records.283 Office Productivity Solutions.284 Health Information Exchange.284 Collaboration Solution for Physicians.285 Clinical Information System. 285 Big Data Analytics in the Health Care Sector.285 Support Research in Genomics and Other Health Care Projects.286 Transform Data from Information.288 Use of Explanatory Analytics by Predixion Software.288 Use of Big Data by Health Fidelity.288 Supporting Self Care.289 Supporting Self Care with Ginger.io.289 Support for Providers.289 Increase Awareness. 291 Sproxil Uses Big Data to Identify Counterfeit Drugs.291 Sickweather LLC Uses Social Media to Track Disease Outbreaks.291 Pool Data to Build a Better Ecosystem.291 Conclusion.292 References.292 Contents ■ xv 11 Smart Use Cases of IoT.293 Introduction.294 Governance Use Cases.294 Ubiquitous Connectivity.295 Omnipresent Devices. 296 Collaboration Platforms. 296 Cloud Computing.296 Open Standards and Service-Oriented Architecture (SOA).296 Geospatial Platforms.297 Neogeography in Smart Cities.297 Internet of Things (IoT).297 Advanced Analytics.298 Open Access to Public Data.298 Digitally Controlled Devices.299 Social Media Networking.299 Strategic Governance Framework for the Implementation of Smart Cities.299 City Objectives.300 City Indicators.300 City Components.300 City Content.301 Smart Industrial Use Cases of IoT. 301 Smart Lighting for Energy Conservation.304 Smart Lighting Approaches.304 Wireless Lighting Control Systems.306 Smart Transportation Systems.308 Electric Vehicles (EVs).309 Smarter Vehicles.309 The Technological Implications on Vehicles.310 Insights-Driven Connected Vehicles.310 Vehicle-to-Vehicle Connectivity. 311 Vehicle-to-Cloud Connectivity.311 Vehicle Connectivity Platforms, Tools, and Applications.312 Use Cases of Technology-Inspired Vehicles.313 An Assortment of Vehicle-Centric Applications.313 Knowledge Services.313 Big Data Analytics for Smarter Transports.314 The Approaches for Smarter Transportation.315 Predict Demand and Optimizing Capacity, Assets, and Infrastructure.315 Improve the End-to-End Experience for Travelers.316 Increase Operational Efficiency While Reducing Environmental Impact.316 Ensure Safety and Security.316 Intelligent Transport Systems (ITS). 317 Connected Cars. .» 317 Consumer Use Cases of IoT. 318 xvi ■ Contents Smart Homes/Buildings.319 The Key Drivers for Smarter Homes and Buildings.319 The Prominent Use Cases of Smarter Homes and Buildings.319 Smarter Homes and Building Elements.320 Smarter Home/Buildings Capabilities.322 Role of Building Automation Systems in Smarter Homes and Buildings.323 Smarter Homes—Middleware Platforms.324 Smarter Home Frameworks.326 Smart Education Systems Using Wearable Devices.327 Conclusion.328 Reference.328 1 2 Security Management of an IoT Ecosystem.329 Introduction.329 Security Requirements of an IoT Infrastructure.330 Confidentiality, Integrity, and Availability Triad.330 Confidentiality.330 Integrity. 331 Availability.331 Authentication, Authorization, and Audit Trial (AAA) Framework.331 Authentication.331 Authorization.332 Audit Trial.332 Defense-in-Depth.332 Trusted Computing Base (TCB).332 Encryption.333 Security Concerns of Cloud Platforms.333 Virtual Machine Segmentation.334 Database Segmentation.335 VM Introspection.335 Distributed Denial of Service (DDoS).335 Imperva SecureSphere Web Application Firewall to Prevent DDoS Attacks.336 Virtual Machine/Hypervisor-Based Security Threats.337 Unauthorized Alteration of Virtual Machine Image Files.337 VM Theft.338 Inter-VM Attacks.338 Instant-On Gaps.339 Hyperjacking.339 Security Threats of Big Data.340 Distributed Programming Frameworks. 341 Use of NoSQL Databases.341 Storage Tiering. 341 Data Source Validation.341 Privacy Concerns.342 Requirements of Security Management Framework for Big Data.342 Agile Scale-Out Infrastructure.343 Security Analytics.343 Contents ■ xvii Threat Monitoring and Intelligence.344 Security Threats in Smartphones.344 Security Solutions for Mobile Devices.343 Security Concerns in IoT Components.346 Security Measures for IoT Platforms/Devices.347 Secure Booting.347 Mandatory Access Control Mechanisms.347 Device Authentication for Networks.347 Device-Specific Firewalls.347 Controlled Mechanism to Ensure Application of Security Patches and Upgrades.347 Security Threats in Different Use Cases of IoT.348 Security Threats in Smart Transportation Systems.348 Security Threats in Smart Grids and Other IoT-Based Infrastructure Components.349 Conclusion.350 Bibliography.350 Index. 351
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author	Chelliah, Pethuru Raj ca. 20./21. Jahrhundert Raman, Anupama C.
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spellingShingle	Chelliah, Pethuru Raj ca. 20./21. Jahrhundert Raman, Anupama C. The Internet of things enabling technologies, platforms, and use cases Internet der Dinge (DE-588)7713781-4 gnd
subject_GND	(DE-588)7713781-4
title	The Internet of things enabling technologies, platforms, and use cases
title_auth	The Internet of things enabling technologies, platforms, and use cases
title_exact_search	The Internet of things enabling technologies, platforms, and use cases
title_full	The Internet of things enabling technologies, platforms, and use cases Pethuru Raj, Anupama C. Raman
title_fullStr	The Internet of things enabling technologies, platforms, and use cases Pethuru Raj, Anupama C. Raman
title_full_unstemmed	The Internet of things enabling technologies, platforms, and use cases Pethuru Raj, Anupama C. Raman
title_short	The Internet of things
title_sort	the internet of things enabling technologies platforms and use cases
title_sub	enabling technologies, platforms, and use cases
topic	Internet der Dinge (DE-588)7713781-4 gnd
topic_facet	Internet der Dinge
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029635023&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT chelliahpethururaj theinternetofthingsenablingtechnologiesplatformsandusecases AT ramananupamac theinternetofthingsenablingtechnologiesplatformsandusecases

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Ausleihbestand Seybothstrasse

Holdings details from Ausleihbestand Seybothstrasse
Call Number:	F 03 ST 205 R161 Floor Plan
Copy 1	uneingeschränkt entleihbar Available
Copy 2	uneingeschränkt entleihbar Available