Raj / Raman Intelligent Cities

Enabling Tools and Technology
Erscheinungsjahr 2015
ISBN: 978-1-4822-9998-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 520 Seiten

The emergence of highly promising and potent technologies has enabled the transition of ordinary objects into smart artifacts—providing wider connectivity of digitized entities that can facilitate the building of connected cities. This book provides readers with a solid foundation on the latest technologies and tools required to develop and enhance smart cities around the world.

The book begins by examining the rise of the cloud as the fundamental technology for establishing and sustaining smart cities and enterprises. Explaining the principal technologies and platform solutions for implementing intelligent cities, the book details the role of various technologies, standards, protocols, and tools in establishing flexible homes and the buildings of the future.

- Examines IT platforms and tools from various product vendors

- Considers service-oriented architecture and event-driven architecture for smart city applications

- Explains how to leverage big data analytics for smart city enhancement and improved decision making

- Includes case studies of intelligent cities, smart homes, buildings, transports, healthcare systems, and airports

The authors explore the convergence of cloud computing and enterprise architecture and present valuable information on next-generation cloud computing. They also cover the various architectural types, including enterprise-scale integration, security, management, and governance.

The book concludes by explaining the various security requirements of intelligent cities as well as the threats and vulnerabilities of the various components that form the basis of the intelligent city framework, including cloud, big data, Internet of Things, and mobile technologies.

Autoren/Hrsg.

Raj, Pethuru

Raman, Anupama C.

Fachgebiete

• Geowissenschaften Geographie | Raumplanung Regional- & Raumplanung Stadtplanung, Kommunale Planung
• Sozialwissenschaften Politikwissenschaft Regierungspolitik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

Envisioning Intelligent Cities

Introduction
Unfolding the Smarter Planet Vision

The Need for Intelligent Cities
City-Specific Challenges Trickling Urbanization Challenges
The Vast Potentials of Smart Cities
City Transformation Strategy Infrastructure Optimization System Infrastructure The Adoption of Versatile Technologies The Assimilation of Architectures Services Are Everywhere Devices Are Connected and Cyber-Enabled for People-Centric Services Process Excellence Make Sense Out of Data for Big Insights

The Key Trends in IT Toward Smart Cities The Shift Toward People IT The Era of Smart Computing Smarter Environments The Need for Cloud-Enablement A Few Smart City Use Cases

Smart City Infrastructure and Platform Solutions Smart City Infrastructures Leading Smart City Platforms

The Context-Aware Framework for Smart CityApplications Data Collection and Cleansing Data Storage Data Interpretation Cloud-Based Data Dissemination

Conclusion
References

Mobile Technologies and Applications for Intelligent Cities
Introduction

Evolution of Mobile Wireless Technologies
Mobile Application Development Platforms
Challenges of Intelligent Cities and Solutions Offered by Mobile Wireless Networks and Devices Mobile Payments and Ticketing Intelligent Energy Conservation Using Mobile Devices Analysis and Commercial Insights Drivers for Mobile BI Adoption Key Trends in Mobile BI Steps to Get Started with Mobile BI Mobile Healthcare Wireless Fleet Management

Enabling Mobile Technologies for an Intelligent City Mobile Augmented Reality

Conclusion

References

The Role and Relevance of Software-Defined Cloud Infrastructures
Introduction

About Cloud Technology

Key Motivations for Cloud-Enabled Environments
Why Cloud Technology Is Being Aggressively Pursued by Worldwide Governments
A Look at Cloud-Inspired Enterprise Transformations The Emergence of Cloud Environments Energy Optimization Cloud-Enabled and Hosted Smarter City Applications A Cloud-Enabled Context-Aware Framework for Smarter Environments A Sample Use Case Cloud-Based Smarter Home Applications Cloud-Enabled Smart Grids A Cloud-Based Monitoring Framework for Smart Homes Cloud-Inspired Smarter Healthcare Services Sensor-Cloud Integration for Smarter Cities Social and Sensor Data Fusion in Cloud Integrating Sensors with Cloud Using Dynamic Proxies The Next-Generation Hybrid Clouds The Compelling Use Cases for Next-Generation Hybrid Clouds Use Cases—Computation and Actionable Insights Storage Use Cases Data Dissemination Software-Defined Infrastructures and Software-Defined Environments

Building Blocks of Software-Defined Data Centers Software-Defined Networking The Key Motivations for SDN Tending Toward Network Virtualization The Need of SDN for the Cloud Software-Defined Storage Cloud-Based Big Data Storage Key Characteristics of Software-Defined Storage

Conclusion

References

Big Data Analytics for Real-Time City Insights

Introduction

Data Analytics and Intelligent Cities The Prominent Sources of Big Data Describing the Big Data World Big Data Characteristics A Perspective on Big Data Computing Why Big Data Computing? The Application Domains
Describing Big Data Analytics The Big Trends of BDA BDA Use Cases

Machine Data Analytics by Splunk®
Open Data for Next-Generation Cities

Edge Data for Cities of the Future Edge Data for Smarter Cities Edge Data for Smart Retailers Edge Data for Smart Automobiles Edge Data for Smart Manufacturing Edge Data for Facilities and Asset Management

Integrated BDA Platforms Software-Defined Infrastructures for BDA Civitas: The Smart City Middleware Hitachi Smart City Platform Data Collection Data Analysis Application Coordination

BDA Frameworks and Infrastructure Apache Hadoop Software Framework NoSQL Databases
Conclusion
References

The Internet of Things for Connected and Cognitive Cities

Introduction

Envisioning the IoT Era
Emerging IoT Trends Deeper Digitization Toward Smart Objects The Growing Device Ecosystem Software-Defined Cloud Infrastructures Big Data Analytics

The IoT Reference Architecture Smart City Communication Architecture Network Architectures for IoT Applications IP-Based Connectivity Models

Prominent IoT Technologies
The IoT: The Key Results

The Advantages of the IoT Concept for Smart Cities The Co-Creation of IoT-Enabled Services for Smarter Cities Examples of IoT-Inspired Services Co-Created and Tested The Role of Advanced Sensing in Smart Cities Sensors Everywhere and in Everything Sensing as a Service for Cities of the Future
Popular IoT/M2M Applications A Typical IoT Application Health of Buildings Smart Energy Smart Healthcare Smart Home Security Smart Cargo Handling Smart Traffic Management Smart Inventory and Replenishment Management Smart Cash Payment Smart Tracking Smart Displays Smart Asset Management Air Quality Noise Monitoring Traffic Congestion Smart Parking

Cyber Physical System for Smart City Needs CPS for Emergency Response

Smart City Platforms and Frameworks A Communication Platform for Smart Cities A Smart City M2M Platform A Framework of Sensor-Cloud Integration

Homeland Security and the Sensor Cloud

Conclusion

References

Social Media Analytics for People Empowerment

Introduction

Building a Framework for the Use of Social Media Analytics for Business Social Media Content Metrics Different Dimensions of Social Media Revenue and Sales Lead Generation Customer Relationship and Customer Innovation Social Media Tools
Social Media Analytics Architecture for Intelligent Cities Social Media Analytics for City Government Design of an Architecture for Sentiment Analysis in Intelligent Cities Use of IBM’s Social Sentiment Index to Identify the Factors Impacting People in Five Canadian Cities Spain Uses Sentiment Analysis to Track and Improve Standards of City Services Sentiment Analysis to Track the Mood of City Residents FoodMood.in Uses Sentiment Analysis to Track Food Mood of Citizens Smart Policing Using Sensors and Domain Awareness System Case Study of Sentiment Analysis Implementation in an Intelligent City

Conclusion
References

Intelligent Cities: Strategy-Making and Governance
Introduction

IT Initiatives for Intelligent City Governance IT-Enabled City Strategies E-Government Key Challenges for E-Government
IT-Enabled Social Initiatives Urban Action Forums
Ubiquitous or Intelligent City Ubiquitous Connectivity Omnipresent Devices Collaboration Platforms Cloud Computing Open Standards and Service-Oriented Architecture Geospatial Platforms Neogeography in U-Cities Internet of Things Advanced Analytics Open Access to Public Data Digitally Controlled Devices Social Media Networking
Strategic Governance Framework for the Implementation of U-Cities City Objectives City Indicators City Components City Content

Conclusion

References

Smart Homes and Buildings
Introduction

Elucidating Technological Advancements
Key Drivers for Smarter Homes and Buildings

Prominent Use Cases of Smarter Homes and Buildings

Smarter Homes and Building Elements

Envisioning Smarter Homes and Buildings: The Role of the Cloud Theme

Smarter Environments Are Instrumented, Interconnected, and Intelligent

Smarter Home/Building Capabilities

Smarter Home/Building Services in Clouds Benefits of Cloud-Enabled Smarter Homes Envisioning Service Delivery Platforms Building Management System

IP-Based Convergence of Building Systems

Smarter Homes: Architectural Styles, Patterns, and Approaches Smarter Homes—Middleware Platforms Smarter Home Frameworks

Home Integration Standards: Industry Strength and Proprietary

Conclusion
Appendix

Smart Home Solutions

References

Smart Energy, Utility, and Transport

Introduction

Smart Energy Smart Grids Energy Harvesting The Need for Big Data Analytics for Smarter Grids Envisioned Energy Grid Services for Smart Cities
Smart Lighting Smart Lighting Approaches Wireless Lighting Control Systems
Smart Transport Electric Vehicles Smarter Vehicles Technological Implications for Vehicles Vehicle Connectivity Platforms, Tools, and Applications Use Cases of Technology-Inspired Vehicles An Assortment of Vehicle-Centric Applications
Approaches for Smarter Transportation Predict Demand and Optimizing Capacity, Assets, and Infrastructure Improve the End-to-End Experience for Travelers Increase Operational Efficiency While Reducing the Environmental Impact Ensure Safety and Security Intelligent Transport Systems

Smart Utilities Smart Metering

Conclusion
References

Intelligent Airports

Introduction Inadequate Capacity Dissatisfied Passengers Increased Regulatory Requirements

Evolution of Airport Infrastructure
Airport 1.0

Airport 2.0 Personal Technology/Processes Technology/Processes to Streamline the Passenger Journey Technology/Processes to Enhance Passenger Experience Processes for Increased Leisure Experience IT for the Benefits of Passengers
Envisioning Airports of the Future (Airport 3.0) Conceptual Models Infrastructure Models Revenue-Generating Models Public–Private Partnerships Technological Models
Conclusion

References

Next-Generation Healthcare Systems

Introduction

Cloud Services in the Healthcare Sector Electronic Storage of Medical Records Office Productivity Solutions Health Information Exchange Collaboration Solution for Physicians Clinical Information System

Big Data Analytics in Healthcare Sector Support Research in Genomics and Other Healthcare Projects Transform Data from Information Supporting Self-Care Support for Providers Increase Awareness Pool Data to Build a Better Ecosystem

Conclusion

Reference

Security Management of Intelligent Cities
Introduction

Security Requirements of an Intelligent City Confidentiality, Integrity, and Availability Triad Authentication, Authorization, and Audit Trial Framework Defense-In-Depth Trusted Computing Base Encryption

Security Concerns of Cloud Platforms Virtual Machine Segmentation Database Segmentation VM Introspection Distributed Denial of Service Hypervisor-Based Security Threats Unauthorized Alteration of VM Image Files VM Theft Inter-VM Attacks Instant-On Gaps Hyperjacking

Security Threats to Big Data Distributed Programming Frameworks Use of NoSQL Databases Storage Tiering Data Source Validation Privacy Concerns

Requirements of the Security Management Framework for Big Data Agile Scale-Out Infrastructure Security Analytics

Threat Monitoring and Intelligence

Security Threats in Smart Phones
Security Solutions for Mobile Devices

Security Concerns in the Internet of Things Platform

Security Measures for IoT Platforms/Devices Secure Booting Mandatory Access Control Mechanisms Device Authentication for Networks Device-Specific Firewalls Controlled Mechanism to Ensure Application of Security Patches and Upgrades

Security Threats to Different IT-Based Infrastructure Components of an Intelligent City Security Threats in Intelligent Transportation Systems Security Threats in Intelligent/Smart Grids and Other Infrastructure Components of an Intelligent City

Best Practices to Be Adopted for a Secure Intelligent City

Conclusion

References

Index

Über Autor(innen)

Pethuru Raj PhD has been working as a cloud infrastructure architect in the IBM Global Cloud Center of Excellence, IBM India Bangalore. Previously he worked as TOGAF-certified enterprise architecture consultant in Wipro Consulting Services Division, Bangalore. He also had a fruitful stint as a lead architect in the corporate research division of Robert Bosch, India. He has gained thirteen years of IT industry experience.

Dr. Raj finished the CSIR-sponsored PhD degree in Anna University, Chennai, and continued the UGC-sponsored postdoctoral research in the department of Computer Science and Automation, Indian Institute of Science, Bangalore until 1999. Thereafter, he was granted a couple of international research fellowships (JSPS and JST) to work as a research scientist for three years in two leading Japanese universities. His technical competencies lie in service oriented architecture, cloud computing, enterprise architecture, context-aware computing and machine-to-machine integration, Big Data Analytics, Smart Cities, and business integration methods.

He has contributed book chapters for a number of high-quality technology books edited by internationally acclaimed professors and professionals. The CRC Press, USA, released his first book titled Cloud Enterprise Architecture in 2012. He has edited a book on the title Cloud Infrastructures for Big Data Analytics. He maintains an Information Technology (IT) portal at www.peterindia.net

Anupama Raman is currently working as Content Lead for Smart Cities Brand of IBM and she is a part of Software group, Industry Solutions of IBM India. Prior to this, she was working with EMC Data Storage. She is a certified Storage Area Networking expert and is also a certified Data Center Architect. She is also certified in Cloud infrastructure and Services Management. Apart from these technical certifications, in the field of writing. She is a certified Information mapping professional and in the field of project management, she is a certified Scrum master. She holds an M.Tech degree in Computer Science and Engineering and is currently pursuing an MBA in IT Management. She has presented and published over twenty research papers in various national and international conferences and she has also written numerous book chapters with various national and international publishers.