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Edge Computing: Fundamentals, Advances and Applications [Kõva köide]

(PSG College of Technology, India), (PSG College of Technology, India), (PSG College of Technology, India), (Dept.of MCA, MSRIT, India)
  • Formaat: Hardback, 162 pages, kõrgus x laius: 234x156 mm, kaal: 381 g, 11 Tables, black and white; 75 Line drawings, black and white; 9 Halftones, black and white; 84 Illustrations, black and white
  • Sari: Advances in Industry 4.0 and Machine Learning
  • Ilmumisaeg: 23-Dec-2021
  • Kirjastus: CRC Press
  • ISBN-10: 1032126086
  • ISBN-13: 9781032126081
  • Formaat: Hardback, 162 pages, kõrgus x laius: 234x156 mm, kaal: 381 g, 11 Tables, black and white; 75 Line drawings, black and white; 9 Halftones, black and white; 84 Illustrations, black and white
  • Sari: Advances in Industry 4.0 and Machine Learning
  • Ilmumisaeg: 23-Dec-2021
  • Kirjastus: CRC Press
  • ISBN-10: 1032126086
  • ISBN-13: 9781032126081
"This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. The text provides integration of blockchain with edge computing systems and integration of edgewith Internet of Things (IoT) and cloud computing. It will facilitate the readers to setup edge-based environment and work with edge analytics. It covers important topics including cluster computing, fog computing, networking architecture, edge computingsimulators, edge analytics, privacy-preserving schemes, edge computing with blockchain, autonomous vehicles, and cross-domain authentication. Aimed at senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, computer science, and information technology, this text: Discusses edge data storage security with case studies and blockchain integration with edge computing system. Covers theoretical methods with the help of applications, use cases, case studies, and examples. Provides healthcare real-time case studies are elaborated in detailed by utilizing the virtues of homomorphic encryption. Discusses real-time interfaces, devices, and simulators in detail"--

This reference text introduces concepts of edge computing and its integration with blockchain technology, cloud computing, and internet of things (IoT). It will serve as a useful text for senior undergraduate, graduate students and professionals in the fields of electrical engineering, electronics engineering, and computer science.
Preface xi
About the Book xiii
Acknowledgments xv
Author Biographies xvii
Chapter 1 Computing Paradigms
1(38)
1.1 Introduction to Computing
1(1)
1.2 The Major Impacts of Computing
2(1)
1.3 Parallel Computing
3(4)
1.3.1 Shared Memory Systems
5(1)
1.3.2 Distributed Memory Systems
5(1)
1.3.3 Hybrid Model
6(1)
1.4 Distributed Computing
7(3)
1.5 Cluster Computing
10(3)
1.5.1 High-Performance Clusters
12(1)
1.5.2 Load Balancing Clusters
12(1)
1.5.3 High-Availability Clusters
12(1)
1.6 Utility Computing
13(2)
1.7 Grid Computing
15(7)
1.8 Cloud Computing
22(3)
1.8.1 Characteristics of Cloud Environments
22(1)
1.8.2 Cloud Models
23(1)
1.8.2.1 Cloud Services Models
23(1)
1.8.2.2 Cloud Deployment Models
24(1)
1.9 Other Computing Paradigms
25(9)
1.9.1 Ubiquitous Computing
25(1)
1.9.2 Jungle Computing
26(1)
1.9.3 Fog Computing
27(2)
1.9.4 Osmotic Computing
29(5)
1.10 Research Directions
34(1)
1.11 Conclusion
35(4)
References
37(2)
Chapter 2 Edge Computing and Its Essentials
39(30)
2.1 Introduction
39(3)
2.2 Edge Computing Architecture
42(2)
2.2.1 Edge Devices
42(1)
2.2.2 Edge Server Cluster
42(1)
2.2.3 Cloud Server
43(1)
2.3 Background Essentials: IoT Devices
44(2)
2.3.1 Mobile Phone-Based Sensors
44(1)
2.3.2 Medical Sensors
45(1)
2.3.3 Neural Sensors
45(1)
2.3.4 Environmental and Chemical Sensors
45(1)
2.3.5 Radio Frequency Identification
45(1)
2.3.6 Actuators
46(1)
2.4 Networking Architecture
46(3)
2.5 Network Management and Control
49(2)
2.5.1 Orchestration
51(1)
2.6 Edge Computing State-of-the-Art Interfaces and Devices
51(5)
2.6.1 Middleware
51(3)
2.6.1.1 Hydra
54(1)
2.6.1.2 Aura
54(1)
2.6.1.3 TinyDB
55(1)
2.6.1.4 FiWare
55(1)
2.6.2 Application Interfaces
55(1)
2.7 Edge Computing Simulators
56(8)
2.7.1 PureEdgeSim
56(1)
2.7.2 IoTSim-Edge
57(3)
2.7.3 iFogSim
60(4)
2.7.4 EdgeCloudSim
64(1)
2.8 Research Directions
64(2)
2.9 Summary
66(3)
References
66(3)
Chapter 3 Edge Analytics
69(18)
3.1 Types of Data
69(1)
3.2 Data Analytics
69(1)
3.3 Goals of Data Analytics
69(1)
3.4 Domains Benefiting from Big Data Analytics
70(1)
3.5 Real-Time Applications of Data Analytics
71(1)
3.6 Phases of Data Analytics
71(7)
3.6.1 Data Collection and Pre-Processing
71(1)
3.6.2 Machine Learning-Model Building
72(4)
3.6.3 Performance Evaluation
76(2)
3.7 Types of Data Analytics
78(2)
3.7.1 Descriptive Analytics
78(1)
3.7.2 Diagnostic Analytics
79(1)
3.7.3 Predictive Analytics
79(1)
3.7.4 Prescriptive Analytics
79(1)
3.8 Edge Data Analytics
80(2)
3.9 Potential of Edge Analytics
82(1)
3.10 Architecture of Edge Analytics
82(1)
3.11 Machine Learning for Edge Devices
83(1)
3.12 Edge Analytics: Case Study
84(1)
3.13 Research Challenges and Future Research Directions
84(1)
3.14 Summary
84(3)
References
85(2)
Chapter 4 Edge Data Storage Security
87(16)
4.1 Data Security
87(2)
4.2 Data Confidentiality
89(7)
4.2.1 Identity-Based Encryption
89(1)
4.2.2 Attribute-Based Encryption
89(2)
4.2.3 Proxy Re-encryption
91(1)
4.2.4 Functional Encryption
91(1)
4.2.5 Honey Encryption
92(1)
4.2.6 Searchable Encryption
92(1)
4.2.7 Homomorphic Encryption
93(1)
4.2.7.1 Types of Homomorphic Encryption
93(2)
4.2.7.2 Basic Functions of Homomorphic Encryption
95(1)
4.3 Authentication
96(2)
4.3.1 Single-Domain Authentication
96(1)
4.3.2 Cross-Domain Authentication
97(1)
4.3.3 Handover Authentication
98(1)
4.4 Privacy-Preserving Schemes
98(2)
4.4.1 Data Privacy
99(1)
4.4.2 Location Privacy
100(1)
4.4.3 Identity Privacy
100(1)
4.5 Edge-Based Attack Detection and Prevention
100(1)
4.6 Conclusions and Future Research Directions
101(2)
References
101(2)
Chapter 5 Blockchain and Edge Computing Systems
103(36)
5.1 History of Blockchain
103(1)
5.2 Distributed Ledger Technology
103(3)
5.3 Role of P2P Architecture in Blockchain
106(1)
5.4 Blockchain Cryptography
107(3)
5.5 Characteristics of Blockchain
110(1)
5.6 Benefits and Limitations of Blockchain
111(1)
5.7 Types of Blockchain
111(2)
5.8 Blockchain Architecture and Fundamentals
113(5)
5.8.1 Blockchain behind Bitcoin Network
114(1)
5.8.2 Transaction Validation
115(1)
5.8.3 Mining and Block Structure
115(2)
5.8.4 Consensus Mechanisms
117(1)
5.8.5 Smart Contracts
118(1)
5.9 Blockchain Platforms
118(5)
5.9.1 Ethereum
118(2)
5.9.2 Hyperledger
120(3)
5.9.3 Polkadot Network
123(1)
5.10 Edge Computing with Blockchain
123(12)
5.10.1 Internet of Things and Blockchain
123(1)
5.10.2 System Design
124(1)
5.10.3 Case Studies
125(10)
5.11 Research Challenges and Future Research Directions
135(1)
5.12 Summary
136(3)
References
136(3)
Chapter 6 Edge Computing Use Cases and Case Studies
139(22)
6.1 Use Cases
139(1)
6.2 Edge Computing High-Potential Use Cases
139(5)
6.2.1 Autonomous Vehicles
139(1)
6.2.2 Smart Cities
140(1)
6.2.3 Industrial Automation
141(1)
6.2.4 Network Functions
141(1)
6.2.5 Gaming
142(1)
6.2.6 Content Delivery
142(1)
6.2.7 Financial Sector
142(1)
6.2.8 Augmented Reality
142(1)
6.2.9 Healthcare Sector
143(1)
6.3 Realization of Edge Computing in Healthcare Ensuring Storage Security
144(14)
6.3.1 Devices and Setup
145(1)
6.3.2 Case Study I: Pulse Oximeter to Detect ARDS in Edge Server
145(1)
6.3.2.1 Pulse Oximetry
146(1)
6.3.2.2 Oxygen Delivery (DO2)
146(1)
6.3.2.3 Oxygen Consumption (VO2)
147(1)
6.3.2.4 Acute Respiratory Distress Syndrome
147(1)
6.3.2.5 Analysis in Edge Server
148(1)
6.3.3 Case Study II: Blood Pressure Monitor to Predict Hypotension in Edge Server
148(3)
6.3.3.1 Mean Arterial Pressure
151(1)
6.3.3.2 Edge Server Analysis on MAP
152(1)
6.3.4 Case Study III: Body Composition Scale to Detect Heat Index in Edge Server
153(1)
6.3.4.1 Heat Index
154(1)
6.3.4.2 Heat Index Analysis in Edge Server
155(1)
6.3.5 Use Case - Edge Computing/Analytics in Industrial IOT
156(2)
6.4 Conclusions and Open Research Challenges
158(3)
References
159(2)
Index 161
Dr K Anitha Kumari is working as an Associate Professor in Department of IT for past 10 Years in PSG College of Technology, India. She is Highly Passionate and curious about Learning New stuffs in New Generation Computing Technologies. As an Independent Researcher, she had an Opportunity to present her UGC sponsored Research Paper based on Quantum Cryptography in USA and visited a few Foreign Universities. To her credit, she had Published a PATENT and 60 Technical Papers in refereed and Impact Factored International/National Journals/Conferences published by IEEE, Elsevier, Springer, T&F, etc.,.Out of her Research interest, she published a Book in "Edge Computing: Fundamentals, Advances and Applications" by CRC Press and contributed several Book Chapters published by CRC Press, Springer, IGI Global, etc., Currently shes being the Programme Coordinator of ME [ Biometrics and Cyber Security] programme and coordinated PSG CARE Sponsored One Year Certification Course on Cyber Security [ Jan-Dec 2020]. Shes also serving as Editorial Member for Scopus-indexed/Open-access Journals like International Journal of Education, Science, Technology, and Engineering, International Journal of Artificial Intelligence, Decision Making: Applications in Management and Engineering, etc., and acting as SPOC for the MoU signed between PSG and SETS Laboratory, Chennai. Also, shes been an Active Reviewer for Prestigious Journals published by IEEE (IEEE Communications Surveys and Tutorials (IF: 20.230), IEEE Transactions on Industrial Informatics (IF: 5.43)), IEEE Access, Springer, Wiley, etc., and Technical Program Committee (TPC) for many International/National conferences. Her areas of interest include Cloud & IoT Security, Design and Analysis of Security Protocols, Attacks & Defense, Security in Computing, Bioinformatics, Quantum Cryptography, Web Service Security, Network Security, Cognitive Security and Analysis of Algorithms. She delivered ample Guest Lectures in her Area of Interest. Her security project is sanctioned and granted by AICTE for a sum of Rs.11,80,000/-. Shes been the mentor for Technovator Projects (2019, 2018 & 2014) and MEDROIDZ, an ICICI Trinity 2014 funded project that was selected as one among the 6 projects in India. Academically, she has secured RANK-I and awarded Gold Medal in ME (SE) & in BE (CSE) from Anna University and from Avinashilingam University. As a Supervisor, she is currently guiding PhD scholars in her research area. You may contact her at anitha.psgsoft@gmail.com / kak.it@psgtech.ac.in.

Dr G Sudha Sadasivam is working as a Professor and Heading the Department of CSE at PSG College of Technology. She has 22 years of teaching experience. She has published 5 books and 20 papers in indexed journals. She has coordinated two AICTE-RPS projects and a UGC sponsored project in the areas of distributed computing. She is the coordinator of PSG-Yahoo research in grid and cloud computing, Nokia Research on Personalisation, Xurmo Research in social networking and Cloudera project on VM migration in federated Cloud Environment. Her team has set up PSG-Yahoo/Nokia lab on Big Data Analytics at PSG College of Technology. Her areas of interest include Distributed Computing and Big Data Analytics.

Ms D Dharani is working as an Assistant Professor in Department of IT in PSG College of Technology, India. She received her M.Tech degree in Information Technology in the year 2016 and B.Tech degree in Information Technology in the year 2014 from Anna University, Chennai and is currently pursuing Ph.D in Information and Communication Technology under Anna University, Chennai. She had published papers in International/National Journals/Conferences. She had also co-authored a book chapter entitled COVID-19: AI-Enabled Social Distancing Detector using CNN and has been published by Springer. She had completed PSG CARE Sponsored One year Certification Course on Data Science. She had successfully completed NPTEL and Coursera certification courses on Blockchain. Her research interest includes areas of Blockchain Technology, Edge Data Analytics and Machine Learning.

Dr. M. Niranjanamurthy is working as Assistant Professor in Department of Computer Applications, M S Ramaiah Institute of Technology, Bangalore, Karnataka. Having 12* years of teaching experience and 2 years of industry experience as a Software Engineer. He has published 6 books in Scholars Press Germany, Wiley-SP, Springer and around 70* research articles in various International Conferences and International Journals. TO his credit, he filed 18 Patents in that 3 were granted. Hes being Research supervisor for four Ph.D. scholars in the area of Data Science, ML, and Networking. He is working as a reviewer in 22 International Journals. Two times got Best Research journal reviewer award. He Got Researcher award- Computer Science Engineering 2018, 2019, 2020. He worked as National/ International Ph.D. examiner. He conducted various National and International Conferences, National Level workshops and Delivered Lectures. He is associated with various professional bodies like IEEE Member, Life Membership of "International Association of Engineers" (IAENG), Membership of "Computer Science Teachers Association" (CSTA). His areas of interest are Data Science, ML, E-Commerce and M-Commerce related to Industry Internal tool enhancement, Software Testing, Software Engineering, Web Services, Web-Technologies, Cloud Computing, Big data analytics, Networking.