Cloud与IoT融合：智能应用与挑战

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"本书《通过物联网审视云计算技术》(Examining Cloud Computing Technologies Through the IoT-IGI 2018)深入探讨了物联网(IoT)与云计算的结合及其在不同领域的应用。物联网通过连接智能对象，实现无线通信，而云计算作为前端服务，提供了数据存储和分析的能力。两者的融合在监测服务、数据流处理方面具有巨大潜力，推动了智能感知、机器对机器的连接以及资源的有效共享。随着数字技术的进步，基于云的物联网系统将成为下一代的主流。书中的章节涵盖了云和物联网的基础概念、集成方法、面临的挑战及应对策略。作者们讨论了云物联网(Cloud IoT)的最新进展，包括基于云的智慧城市、智能电网、智能家居、智能农业和智能电子医疗等应用场景。同时，书中还探索了不同通信技术和协议在云物联网系统中的应用，强调了安全、隐私和数据处理伦理问题。全书共14章，由物联网和云计算领域的专家撰写，从基础知识到具体技术实施进行了系统阐述。第1章介绍了云和物联网的起源及其整合，讨论了两者的基本概念和集成过程，描绘了当前的发展状况。此书对于理解云物联网的前沿研究、应用架构和技术解决方案具有重要价值，旨在推动有效云物联网系统的开发，并解决其在实际部署中遇到的诸多问题。" 这本书的知识点主要包括： 1. 物联网(IoT)的概念：物联网是通过无线方式连接周围智能设备，实现设备间的通信，减少人类干预。 2. 云计算的作用：云计算作为物联网的前端，提供大数据存储和分析服务，让用户可以通过互联网执行计算任务。 3. 云物联网(Cloud IoT)的融合：云计算与物联网的结合，能提供新的监控服务和强大的数据流处理能力，创新应用广泛。 4. 物联网与云计算的相互作用：物联网负责收集信息，云计算则从中提取有价值的数据。 5. 应用场景：包括智慧城市、智能电网、智能家居、智能农业和智能医疗等领域。 6. 面临的挑战：如集成部署、安全问题、架构设计、隐私保护和数据处理伦理等。 7. 解决方案：书中探讨了针对这些挑战的技术和概念性解决方案。 8. 通信技术与协议：书中还涵盖了云物联网系统中使用的各种通信技术和协议。 9. 专家贡献：由物联网和云计算领域的专家撰写，内容权威且全面。这本书对于理解云物联网的现状和未来发展方向，以及如何在实践中解决相关问题，提供了丰富的参考资料。

Preface

The Internet of Things (IoT) has drawn great attention from both academia and

industry, since it offers challenging notion of creating a world where all the things,

known as smart objects around us are connected, typically in a wireless manner, to

the internet and communicate with each other with minimum human intervention.

Another component set to help IoT succeed is Cloud computing, which acts as a sort

of front end. Cloud computing is an increasingly popular service that offers several

advantages to IoT and it is based on the concept of allowing users to perform normal

computing tasks using services delivered entirely over the internet. Cloud computing

is a paradigm for big data storage and analytics, while IoT is exciting on its own. The

real innovation will come from combining it with Cloud computing. The combination

of Cloud computing and IoT will enable new monitoring services and powerful

processing of sensory data streams. These applications alongside implementation

details and challenges should also be explored for successful mainstream adoption.

IoT is also fuelled by the advancement of digital technologies. The next generation

era will be Cloud-based IoT systems.

Recently, IoT and Cloud computing have been widely studied and applied in many

fields, as they can provide a new method for intelligent perception and connection

from M2M (including Man-to-Man, Man-to-Machine, and Machine-to-Machine),

and on-demand use and efficient sharing of resources, respectively. The IoT and

Cloud computing are inseparable systems. On the one hand IoT promises to make

any electronic devices part of the Internet environment and provide the required

information whereas the Cloud computing will help to extract the valuable data

from that information. A novel paradigm where Cloud and IoT are merged together

is foreseen as disruptive and an enabler of a large number of application scenarios.

This new paradigm opens the doors to new innovations and interactions between

people and things that will utilize of scarce resources and improve the quality of

each individual life. The book identifies potential future directions and technologies

that facilitate insight into numerous scientific, smart business, smart cities, smart

e-healthcare and smart consumer applications.

Preface

The main goal of this book is to spur the development of effective Cloud-based

IoT system and identify state-of-the-art research in the Cloud-based IoT systems, its

applications, architectures and technologies. It focuses on the integration of Cloud

and IoT named Cloud IoT paradigm. It examine various aspects of Cloud-based IoT

system, the need for integrating them, the challenges deriving from such integration,

and how these issues have been tackled. Various applications like Cloud-based

smart cities, smart grids, smart homes, smart farming and smart e-health services,

etc. has been described. Different communication technologies and protocols for

Cloud-based IoT system has been explored. To help realize the full potential of

Cloud-based IoT system, this book addresses the numerous aspects and challenges

for integrating them and discusses the conceptual and technological solutions for

tackling them. These challenges include the deployment of Cloud-based IoT model,

security issues, designing in integrated Cloud and IoT architecture, and the privacy

and ethical issues around data sensing, storage and processing.

This book contains 14 chapters authored by several leading experts in the field

of IoT and Cloud computing. The book is presented in a coordinated and integrated

manner starting with the fundamentals, and followed by the technologies that

implement them. The content of the book is organized as follows:

Chapter 1: This chapter shows the genesis of Cloud and IoT systems and their

integration. Starting from the fundamental presentation of Cloud and IoT this

chapter will discuss the integration part of Cloud and IoT. This chapter will

also provide a latest picture of integration of Cloud IoT applications. At last

some future open research issues are described.

Chapter 2: This chapter presents the history of internet, the gradual evolution of

Cloud computing, evolution and concepts of the IoT and CloudIoT and its

necessities. It also discusses the various applications and service fields of

CloudIoT. At the end of this chapter various concepts regarding maintenance

of good QoS, controversies in QoS maintenance, different parameters that the

QoS depends on, various problems faced in maintaining those parameters and

the possible solutions for overcoming those problems are discussed. Possible

directions towards future works are also highlighted at the end of this chapter.

Chapter 3: This chapter focuses on the deployment models of Cloud computing in

relation to IoT. The implications of Cloud computing in view of deployment

are discussed in an exhaustive way. The issues for deployment and optimization

related to the merger of IoT with Cloud computing are also raised.

Chapter 4: This chapter examines the convergence of Cloud computing and IoT

systems and explain how these solutions can interact via the internet. The main

emphasis of this chapter is on data security, reliability, resource provisioning,

service level agreement, quality of service, IoT, privacy and device integration.

xvi

Preface

It also underscores the operational benefits and security issues in Cloud

computing and IoT technologies pose to customers.

Chapter 5: In this chapter, various security and privacy requirements in the Cloud-

based IoT system have been discussed. To solve these security issues the trust

management systems has been presented. At the end of this chapter security

analysis of IoT-related standard protocols, and security threats at the different

layers of IoT has been presented.

Chapter 6: This chapter describes the various standards of Cloud and IoT. A critical

survey has been done for the need of standards, standardization bodies, their

standards and functions.

Chapter 7: This chapter presents the various applications by using Cloud and

IoT. Various applications like smart healthcare, cities, buildings, agriculture

practices and buildings, etc. have been analysed from different perspectives,

including sensors, data management, Cloud computing, etc. Then Cloud-based

architecture has been proposed for these applications which simultaneously

examining and identifying the challenges involved.

Chapter 8: This chapter explores the different IoT services offered by Cloud as well

as application domains which are benefited by the Cloud IoT. The challenges

on offloading the IoT computation into Cloud are also discussed.

Chapter 9: The chapter provides an insight of big data, its technical background and

its need for adoption globally. On the contrary, the big data management for

Cloud-based IoT system has thoroughly discussed. Its key concepts, technical

and architectural aspects, management of big data and its identification is

presented in a very simplified way.

Chapter 10: This chapter elaborates the software defined networking for Cloud-based

IoT system. The software defined systems is a new paradigm that appeared

recently to hide all complexity in traditional system. The architecture of SDN is

very well explained by abstracting all the controls and management operations

from the devices attached through IoT.

Chapter 11: This chapter introduces the public Cloud Amazon Web Service (AWS)

system for a wide range of services like computation, networking, analytics,

development and management tools, application services, mobile services and

management of IoT devices. Its working principle, design principles has been

presented including the detailed description of the AWS IoT Components viz.

Device SDK, Message Broker, Rule Engine, Security and Identity Service,

Thing Registry, Thing Shadow, and Thing Shadow Service, etc.

Chapter 12: This chapter elaborates the Cloud-based IoT systems the major issue

is to handle the data because IoT will deliver an abundance of data to Cloud

for computing. Under this situation the Cloud servers will compute the big

data and try to identify the relevant data and gives decisions accordingly.

xvii

Preface

In the world of big data, it’s a herculean task to manage inflow, storage and

exploration of millions of data files and volume of information coming from

multiple systems. The growth of this information, calls for good design principles

so that it can leverage the different big data tools available in market today.

From the information consumption standpoint, business users are exploring

new insights from the big data that can uncover potential business value. Data

Lake is a technology framework that helps to solution this big data challenge.

Chapter 13: In this chapter, various applications used in Cloud of Things are

presented. Starting from the introduction of Cloud, IOT and Cloud of Things

(CoT), it also covers security and challenges occurred in CoT.

Chapter 14: This chapter presents the IoT with significant methodology for the

development of innovative applications and systems. It is very much evident

that the integration of IoT and Cloud computing enables resource sharing more

efficiently. But the research demands the necessity of QoS requirements. These

must be capable enough to deliver real time provisions and applications with

ensured quality. The basis of Cloud computing, IoT and the survey that was

done in QoS of Cloud computing and IoT is discussed in this chapter.

The targeted audience for the book includes professionals who are designers and

planners for Cloud-based IoT systems, researchers (faculty members and graduate

students), and those who would like to learn about this field. This book is expected

to have the following specific salient features:

• To serve as a single comprehensive source of information and as reference

material on Cloud-based IoT systems.

• To help those who are interested in exploring and implementing the IoT

and related technologies, protocol and standards with recent research and

development in the Cloud-based IoT system.

• To deal with an important and timely topic of emerging Cloud-based IoT

systems of today, tomorrow, and beyond.

• To present accurate, up-to-date information on a broad range of topics related

to Cloud-based IoT systems and its architecture.

Pradeep Tomar

Gautam Buddha University, India

Gurjit Kaur

Gautam Buddha University, India

xviii

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Cloud与IoT融合：智能应用与挑战

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