Edge Computing Acceleration
From 5G to 6G and Beyond
1. Auflage
Erschienen am 29. November 2024
Buch
Hardcover
304 Seiten
978-1-119-81384-2 (ISBN)
Beschreibung
Discover the latest advances in computer architecture and software at the dawn of the 5G/6G era
In Edge Computing Acceleration: From 5G to 6G and Beyond, distinguished researchers Dr. Patrick Hung, Hongwei Kan, and Greg Knopf deliver a comprehensive overview of personal computer architecture and software design usage in the upcoming 5G decade. The authors begin by introducing key components and exploring different hardware acceleration architectures. They move on to discuss 5G data security and data integrity and offer a survey of network virtualization technologies, including accelerated virtualization technologies.
The book analyzes 5G/6G system performance, investigating key design considerations and trade-offs and introducing high-level synthesis flow. It concludes with chapters exploring design verification and validation flow, illustrations of 5G applications based on artificial intelligence and other emerging technologies and offering highlights of emerging 6G research and roadmaps.
Readers will enjoy the combination of accessible descriptions of new technologies presented side-by-side as a step-by-step guide to designing effective 5G systems. The book also includes:
A thorough introduction to key 5G/6G components, including new wireless communication protocols, edge and fog computing, acceleration technologies, IoE architectures, software-designed networks, network function virtualization, and data security
Explorations of various hardware acceleration architectures, like FPGA and GPU acceleration architectures
Practical discussions of 5G/6G data security, data integrity, and a survey of network virtualization technologies
In-depth treatments of 5G/6G system performance, key design considerations, high-level synthesis flow, design verification, and validation flow
Perfect for undergraduate and graduate students in programs related to communications technology, engineering, and computer science, Edge Computing Acceleration: From 5G to 6G and Beyond is a must-have resource for engineers, programmers, system architects, technical managers, communications business executives, telco operators, and government regulators who regularly interact with cutting-edge communications equipment.
In Edge Computing Acceleration: From 5G to 6G and Beyond, distinguished researchers Dr. Patrick Hung, Hongwei Kan, and Greg Knopf deliver a comprehensive overview of personal computer architecture and software design usage in the upcoming 5G decade. The authors begin by introducing key components and exploring different hardware acceleration architectures. They move on to discuss 5G data security and data integrity and offer a survey of network virtualization technologies, including accelerated virtualization technologies.
The book analyzes 5G/6G system performance, investigating key design considerations and trade-offs and introducing high-level synthesis flow. It concludes with chapters exploring design verification and validation flow, illustrations of 5G applications based on artificial intelligence and other emerging technologies and offering highlights of emerging 6G research and roadmaps.
Readers will enjoy the combination of accessible descriptions of new technologies presented side-by-side as a step-by-step guide to designing effective 5G systems. The book also includes:
A thorough introduction to key 5G/6G components, including new wireless communication protocols, edge and fog computing, acceleration technologies, IoE architectures, software-designed networks, network function virtualization, and data security
Explorations of various hardware acceleration architectures, like FPGA and GPU acceleration architectures
Practical discussions of 5G/6G data security, data integrity, and a survey of network virtualization technologies
In-depth treatments of 5G/6G system performance, key design considerations, high-level synthesis flow, design verification, and validation flow
Perfect for undergraduate and graduate students in programs related to communications technology, engineering, and computer science, Edge Computing Acceleration: From 5G to 6G and Beyond is a must-have resource for engineers, programmers, system architects, technical managers, communications business executives, telco operators, and government regulators who regularly interact with cutting-edge communications equipment.
Weitere Details
Reihe
Sprache
Englisch
Verlagsort
USA
Verlagsgruppe
John Wiley & Sons Inc
Zielgruppe
Für Beruf und Forschung
Produkt-Hinweis
Fadenheftung
Gewebe-Einband
Maße
Höhe: 229 mm
Breite: 152 mm
Dicke: 18 mm
Gewicht
572 gr
ISBN-13
978-1-119-81384-2 (9781119813842)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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E-Book
12/2024
1. Auflage
Wiley
106,99 €
Als Download verfügbar
E-Book
12/2024
1. Auflage
Wiley
108,99 €
Als Download verfügbar
Personen
Patrick Hung, PhD, is a co-founder of Alta Sicuro Technology, and was Consulting Assistant Professor at Stanford University. He is currently Vice-Chairman of IEEE Hong Kong Section Computer Society Chapter and IEEE ESOC Technical Committee member. Dr. Hung was Taishan Scholar in China and CBI Overseas Scholar in UK.
Hongwei Kan is Chief Expert & General Manager at the Institute of Pioneering Technologies (IPT) at Tsinghua Unigroup, responsible for designing and development its next-generation computer architecture. Mr. Kan is a Visiting Professor at Beijing University of Posts and Telecommunications and the China University of Mining and Technology.
Greg Knopf is Senior Director of Server Customer Engineering at Advanced Micro Devices (AMD). Through his engineering leadership roles at AMD and Intel, Mr. Knopf contributed to the development of more than ten generations of flagship server CPUs.
Hongwei Kan is Chief Expert & General Manager at the Institute of Pioneering Technologies (IPT) at Tsinghua Unigroup, responsible for designing and development its next-generation computer architecture. Mr. Kan is a Visiting Professor at Beijing University of Posts and Telecommunications and the China University of Mining and Technology.
Greg Knopf is Senior Director of Server Customer Engineering at Advanced Micro Devices (AMD). Through his engineering leadership roles at AMD and Intel, Mr. Knopf contributed to the development of more than ten generations of flagship server CPUs.
Inhalt
About the Authors xi
Foreword (professor Ray Cheung) xiii
Foreword (Raghu Nambiar) xv
Preface xvii
Acknowledgment (Patrick Hung) xix
Acknowledgment (Greg Knopf) xxi
Part I Introduction 1
1 Introduction 3
1.1 Introducing 5G and Internet of Everything 4
1.2 Edge Computing Architecture 8
1.2.1 Edge Versus Cloud Computing 10
1.2.2 Edge Design Options 11
1.2.3 Key Benefits of Edge Computing 12
1.3 Custom Computing 14
1.3.1 Introduction to Custom Computing 14
1.3.2 5G/6G Security Concerns 15
1.3.3 Custom Edge Computing Cards 17
1.4 Deployment Considerations 18
1.4.1 5G/6G Cell Architecture 19
1.4.2 5G/6G Private Network 21
1.4.3 Infrastructure Sharing 23
References 26
2 Overview of 5G and 6G 31
2.1 5G Timeline 31
2.2 5G Spectrum 32
2.3 Characteristics of 5G 34
2.4 5G New Radio 34
2.4.1 Orthogonal Frequency-Division Multiplexing 34
2.4.2 Massive MIMO 36
2.4.3 Beamforming 37
2.4.4 Multiuser MIMO 38
2.5 Data Plane and Control Plane Separation 38
2.6 5G Applications 40
2.7 Smooth Transition to 6G 42
2.8 6G Expected Timeline, Spectrum, and Characteristics 46
2.9 6G Potential Applications 48
2.10 Edge, Fog, and Cloud Computing in Relation to 5G and 6G 50
2.10.1 Edge Computing in Relation to 5G and 6G 51
2.10.2 Fog Computing in Relation to 5G and 6G 53
2.10.3 Cloud Computing in Relation to 5G and 6G 55
References 57
Part II Theory 63
3 High-Level Synthesis (HLS) 65
3.1 Why Use High-Level Synthesis? 67
3.1.1 Hardware Acceleration with High-Level Synthesis 68
3.2 Common HLS Languages and Platforms 69
3.2.1 Compute Unified Device Architecture (CUDA) 70
3.2.1.1 CUDA and HLS for Hardware Acceleration 70
3.2.1.2 Advantage of Using CUDA and HLS for Hardware Acceleration 71
3.2.2 OpenCL 72
3.2.2.1 OpenCL and HLS for Hardware Acceleration 73
3.2.2.2 Advantages of Using OpenCL with HLS Tools for Hardware Acceleration 74
3.2.3 Maxeler MaxJ 75
3.2.3.1 Using Maxeler MaxJ with HLS for Hardware Acceleration 76
3.2.3.2 Advantages of Using Maxeler MaxJ with HLS for Hardware Acceleration 77
3.3 Limitations and Challenges of HLS 79
3.4 Using HLS in 5G Edge Computing 80
3.4.1 User (Data) Plane Acceleration 81
3.4.2 Control Plane Acceleration 82
3.4.3 Advantages of Using HLS for User Plane and Control Plane Acceleration 83
References 85
4 Coding Design 89
4.1 Overview 89
4.2 Error Correction Codes (ECCs) 90
4.2.1 Turbo, Low-Density Parity-Check, and Polar Codes 92
4.2.1.1 Turbo Codes 93
4.2.1.2 LDPC Codes 94
4.2.1.3 Polar Codes 97
4.3 Security Codes 98
4.3.1 Public Key Infrastructure 99
4.3.2 Symmetric and Asymmetric Cryptography Concepts 100
4.3.2.1 Symmetric Key Cryptography 100
4.3.2.2 Asymmetric Key Cryptography 101
4.3.3 Existing Algorithms and Standards 103
4.3.3.1 Advanced Encryption Standard 103
4.3.3.2 RSA Algorithm 103
4.3.3.3 Elliptic Curve Cryptography 104
4.4 Emerging 5G Security Design Acceleration 105
4.4.1 Blockchain 105
4.4.2 Lightweight Encryption Algorithms 108
4.4.2.1 SIMON and SPECK Algorithms 108
4.4.2.2 PRESENT Algorithm 110
4.4.2.3 GIFT Algorithm 112
4.4.3 Network Codes 113
4.4.4 Post-Quantum Cryptography 115
4.4.5 Homomorphic Encryption 116
4.4.6 Zero-Knowledge Proof 118
References 120
Part III Architecture 125
5 Hardware Architecture 127
5.1 Development Timeline 127
5.2 Operating Spectrum 128
5.3 Core Requirements 133
5.4 New Radio Access Technology 135
5.4.1 Orthogonal Frequency-Division Multiplexing 135
5.4.2 Massive MIMO (Multiple-Input Multiple-Output) 137
5.4.3 Beamforming 137
5.4.4 Multiuser MIMO 138
5.5 Network Architecture 138
5.5.1 Next Generation Radio Access Network 139
5.5.2 5G Core 140
5.5.2.1 Control and User Plane Separation (CUPS) 140
5.5.2.2 Service-Based Architecture (SBA) 140
5.6 Performance Improvement 142
5.6.1 Computing and Network Convergence 142
5.6.2 Related Works 144
5.6.3 Smart_xPU Design Methodology 148
5.6.3.1 Data Flow Optimization 148
5.6.3.2 Distributed System Optimization 151
5.6.3.3 Core Microarchitecture Optimization 154
5.6.3.4 Software/Hardware Interface Optimization 156
5.6.3.5 Analyzing the Smart_xPU Architecture 159
5.6.4 Summary of the Smart_xPU Architecture 160
References 162
6 Software Architecture 167
6.1 End-to-End Example of 5G System 167
6.1.1 High-Level Description 167
6.1.1.1 5G Radio Access Network 168
6.1.1.2 Edge 169
6.1.1.3 5G Core 169
6.1.1.4 Application and Services 171
6.1.2 Interfaces 171
6.1.2.1 N1: Between 5G Core and User Equipment 171
6.1.2.2 N2: Between 5G Core and Base Station 171
6.1.2.3 N3: Between RAN and User Plane Function 172
6.1.2.4 Other Interfaces Include the Following 172
6.2 Network Slicing Architecture, Software-Defined Network, and Network Function Virtualization 173
6.2.1 Network Slicing Architecture 173
6.2.1.1 Software-Defined Network (SDN) 174
6.2.1.2 Network Function Virtualization (NFV) 176
6.3 Software Acceleration 178
6.3.1 User Space Approach 178
6.3.1.1 Data Plane Development Kit (DPDK) 178
6.3.2 Other Approaches 183
6.3.2.1 Remote Direct Memory Access (RDMA) 183
6.3.2.2 Compute Express Link (CXL) 186
6.3.2.3 Data Processing Unit (DPU) 188
References 190
Part IV Applications 193
7 Killer Applications 195
7.1 Metaverse and Its Trends 195
7.2 Technologies Behind Metaverse 197
7.2.1 Artificial Intelligence 197
7.2.1.1 AI-Based Non-player Character 199
7.2.1.2 Sensory Capabilities with AI 199
7.2.2 Blockchain 200
7.2.2.1 Power Consumption 201
7.2.3 AR and VR 202
7.2.4 Internet of Things 203
7.3 Applications of Metaverse 204
7.3.1 Gaming 204
7.3.2 Education 205
7.3.3 Commerce 206
7.3.4 Social Networking 207
7.3.5 Healthcare 208
7.3.6 Industrial Use 210
7.3.7 Entertainment 211
7.4 Accelerating Killer Apps 213
7.4.1 Edge Computing 214
7.4.2 Acceleration by Specialized Hardware 215
References 216
8 From Concept to Production 225
8.1 System Design Process 225
8.2 Some Examples 230
8.3 Standards Compliance 233
8.4 Other Design Metrics 234
8.5 Summary 237
References 237
Part V Future Roadmap 241
9 The Road Ahead 243
9.1 Spatial Computing and Networking 245
9.2 Supporting 5G/6G Spatial Computing and Networking 246
9.3 Migrating to 6G 248
9.3.1 Cutting Edge 6G Research 249
9.4 Enabling Technologies for 5G and Beyond 251
9.4.1 Processing-in-Memory Architecture 251
9.4.2 New Packaging Architecture 253
9.4.3 New Memory Architecture 255
9.4.4 Artificial Intelligence-Driven Architectures 257
9.5 Some Final Thoughts 259
References 259
Index 263
Foreword (professor Ray Cheung) xiii
Foreword (Raghu Nambiar) xv
Preface xvii
Acknowledgment (Patrick Hung) xix
Acknowledgment (Greg Knopf) xxi
Part I Introduction 1
1 Introduction 3
1.1 Introducing 5G and Internet of Everything 4
1.2 Edge Computing Architecture 8
1.2.1 Edge Versus Cloud Computing 10
1.2.2 Edge Design Options 11
1.2.3 Key Benefits of Edge Computing 12
1.3 Custom Computing 14
1.3.1 Introduction to Custom Computing 14
1.3.2 5G/6G Security Concerns 15
1.3.3 Custom Edge Computing Cards 17
1.4 Deployment Considerations 18
1.4.1 5G/6G Cell Architecture 19
1.4.2 5G/6G Private Network 21
1.4.3 Infrastructure Sharing 23
References 26
2 Overview of 5G and 6G 31
2.1 5G Timeline 31
2.2 5G Spectrum 32
2.3 Characteristics of 5G 34
2.4 5G New Radio 34
2.4.1 Orthogonal Frequency-Division Multiplexing 34
2.4.2 Massive MIMO 36
2.4.3 Beamforming 37
2.4.4 Multiuser MIMO 38
2.5 Data Plane and Control Plane Separation 38
2.6 5G Applications 40
2.7 Smooth Transition to 6G 42
2.8 6G Expected Timeline, Spectrum, and Characteristics 46
2.9 6G Potential Applications 48
2.10 Edge, Fog, and Cloud Computing in Relation to 5G and 6G 50
2.10.1 Edge Computing in Relation to 5G and 6G 51
2.10.2 Fog Computing in Relation to 5G and 6G 53
2.10.3 Cloud Computing in Relation to 5G and 6G 55
References 57
Part II Theory 63
3 High-Level Synthesis (HLS) 65
3.1 Why Use High-Level Synthesis? 67
3.1.1 Hardware Acceleration with High-Level Synthesis 68
3.2 Common HLS Languages and Platforms 69
3.2.1 Compute Unified Device Architecture (CUDA) 70
3.2.1.1 CUDA and HLS for Hardware Acceleration 70
3.2.1.2 Advantage of Using CUDA and HLS for Hardware Acceleration 71
3.2.2 OpenCL 72
3.2.2.1 OpenCL and HLS for Hardware Acceleration 73
3.2.2.2 Advantages of Using OpenCL with HLS Tools for Hardware Acceleration 74
3.2.3 Maxeler MaxJ 75
3.2.3.1 Using Maxeler MaxJ with HLS for Hardware Acceleration 76
3.2.3.2 Advantages of Using Maxeler MaxJ with HLS for Hardware Acceleration 77
3.3 Limitations and Challenges of HLS 79
3.4 Using HLS in 5G Edge Computing 80
3.4.1 User (Data) Plane Acceleration 81
3.4.2 Control Plane Acceleration 82
3.4.3 Advantages of Using HLS for User Plane and Control Plane Acceleration 83
References 85
4 Coding Design 89
4.1 Overview 89
4.2 Error Correction Codes (ECCs) 90
4.2.1 Turbo, Low-Density Parity-Check, and Polar Codes 92
4.2.1.1 Turbo Codes 93
4.2.1.2 LDPC Codes 94
4.2.1.3 Polar Codes 97
4.3 Security Codes 98
4.3.1 Public Key Infrastructure 99
4.3.2 Symmetric and Asymmetric Cryptography Concepts 100
4.3.2.1 Symmetric Key Cryptography 100
4.3.2.2 Asymmetric Key Cryptography 101
4.3.3 Existing Algorithms and Standards 103
4.3.3.1 Advanced Encryption Standard 103
4.3.3.2 RSA Algorithm 103
4.3.3.3 Elliptic Curve Cryptography 104
4.4 Emerging 5G Security Design Acceleration 105
4.4.1 Blockchain 105
4.4.2 Lightweight Encryption Algorithms 108
4.4.2.1 SIMON and SPECK Algorithms 108
4.4.2.2 PRESENT Algorithm 110
4.4.2.3 GIFT Algorithm 112
4.4.3 Network Codes 113
4.4.4 Post-Quantum Cryptography 115
4.4.5 Homomorphic Encryption 116
4.4.6 Zero-Knowledge Proof 118
References 120
Part III Architecture 125
5 Hardware Architecture 127
5.1 Development Timeline 127
5.2 Operating Spectrum 128
5.3 Core Requirements 133
5.4 New Radio Access Technology 135
5.4.1 Orthogonal Frequency-Division Multiplexing 135
5.4.2 Massive MIMO (Multiple-Input Multiple-Output) 137
5.4.3 Beamforming 137
5.4.4 Multiuser MIMO 138
5.5 Network Architecture 138
5.5.1 Next Generation Radio Access Network 139
5.5.2 5G Core 140
5.5.2.1 Control and User Plane Separation (CUPS) 140
5.5.2.2 Service-Based Architecture (SBA) 140
5.6 Performance Improvement 142
5.6.1 Computing and Network Convergence 142
5.6.2 Related Works 144
5.6.3 Smart_xPU Design Methodology 148
5.6.3.1 Data Flow Optimization 148
5.6.3.2 Distributed System Optimization 151
5.6.3.3 Core Microarchitecture Optimization 154
5.6.3.4 Software/Hardware Interface Optimization 156
5.6.3.5 Analyzing the Smart_xPU Architecture 159
5.6.4 Summary of the Smart_xPU Architecture 160
References 162
6 Software Architecture 167
6.1 End-to-End Example of 5G System 167
6.1.1 High-Level Description 167
6.1.1.1 5G Radio Access Network 168
6.1.1.2 Edge 169
6.1.1.3 5G Core 169
6.1.1.4 Application and Services 171
6.1.2 Interfaces 171
6.1.2.1 N1: Between 5G Core and User Equipment 171
6.1.2.2 N2: Between 5G Core and Base Station 171
6.1.2.3 N3: Between RAN and User Plane Function 172
6.1.2.4 Other Interfaces Include the Following 172
6.2 Network Slicing Architecture, Software-Defined Network, and Network Function Virtualization 173
6.2.1 Network Slicing Architecture 173
6.2.1.1 Software-Defined Network (SDN) 174
6.2.1.2 Network Function Virtualization (NFV) 176
6.3 Software Acceleration 178
6.3.1 User Space Approach 178
6.3.1.1 Data Plane Development Kit (DPDK) 178
6.3.2 Other Approaches 183
6.3.2.1 Remote Direct Memory Access (RDMA) 183
6.3.2.2 Compute Express Link (CXL) 186
6.3.2.3 Data Processing Unit (DPU) 188
References 190
Part IV Applications 193
7 Killer Applications 195
7.1 Metaverse and Its Trends 195
7.2 Technologies Behind Metaverse 197
7.2.1 Artificial Intelligence 197
7.2.1.1 AI-Based Non-player Character 199
7.2.1.2 Sensory Capabilities with AI 199
7.2.2 Blockchain 200
7.2.2.1 Power Consumption 201
7.2.3 AR and VR 202
7.2.4 Internet of Things 203
7.3 Applications of Metaverse 204
7.3.1 Gaming 204
7.3.2 Education 205
7.3.3 Commerce 206
7.3.4 Social Networking 207
7.3.5 Healthcare 208
7.3.6 Industrial Use 210
7.3.7 Entertainment 211
7.4 Accelerating Killer Apps 213
7.4.1 Edge Computing 214
7.4.2 Acceleration by Specialized Hardware 215
References 216
8 From Concept to Production 225
8.1 System Design Process 225
8.2 Some Examples 230
8.3 Standards Compliance 233
8.4 Other Design Metrics 234
8.5 Summary 237
References 237
Part V Future Roadmap 241
9 The Road Ahead 243
9.1 Spatial Computing and Networking 245
9.2 Supporting 5G/6G Spatial Computing and Networking 246
9.3 Migrating to 6G 248
9.3.1 Cutting Edge 6G Research 249
9.4 Enabling Technologies for 5G and Beyond 251
9.4.1 Processing-in-Memory Architecture 251
9.4.2 New Packaging Architecture 253
9.4.3 New Memory Architecture 255
9.4.4 Artificial Intelligence-Driven Architectures 257
9.5 Some Final Thoughts 259
References 259
Index 263