Cao / Zhang / Shi Edge Computing: A Primer

1. Auflage 2018
ISBN: 978-3-030-02083-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 94 Seiten, eBook

Reihe: SpringerBriefs in Computer Science

The success of the Internet of Things and rich cloud services have helped create the need for edge computing, in which data processing occurs in part at the network edge, rather than completely in the cloud.  In Edge Computing: A Primer  the vision and definition of Edge computing is introduced, as well as several key techniques that enable Edge computing. Then, four applications that benefit from Edge computing are presented as case studies, ranging from smart homes and public safety to medical services, followed by a discussion of several open challenges and opportunities in Edge computing. Finally, several key tools for edge computing such as virtualization and resource management are explained.

Zielgruppe

Research

Autoren/Hrsg.

Cao, Jie

Zhang, Quan

Shi, Weisong

Inhaltsverzeichnis

1;Contents;6
2;1 Introduction;8
2.1;1.1 What Is Edge Computing;9
2.1.1;1.1.1 Why Do We Need Edge Computing;9
2.1.1.1;Push from Cloud Services;9
2.1.1.2;Pull from the Internet of Things;10
2.1.1.3;Change from a Data Consumer to Producer;10
2.1.2;1.1.2 Key Techniques that Enable Edge Computing;11
2.1.2.1;VMs and Containers;11
2.1.2.2;Software Defined Networking (SDN);11
2.1.2.3;Content Delivery/Distribution Network (CDN);11
2.1.2.4;Cloudlets and Micro Data Centers (MDC);12
2.1.3;1.1.3 Edge Computing Definition;12
2.1.4;1.1.4 Edge Computing Benefits;12
2.1.5;1.1.5 Edge Computing Systems;13
2.2;1.2 Overview of the Book;14
2.3;References;15
3;2 EdgeOSH: A Home Operating System for Internet of Everything;17
3.1;2.1 Introduction;17
3.2;2.2 Related Work;18
3.3;2.3 EdgeOSH: Overview and Design;19
3.3.1;2.3.1 Overview;21
3.3.2;2.3.2 Design;22
3.4;2.4 Summary;23
3.5;References;24
4;3 Firework: Data Analytics in Hybrid Cloud-Edge Environment;25
4.1;3.1 Introduction;25
4.2;3.2 System Design;26
4.2.1;3.2.1 Terminologies;27
4.2.2;3.2.2 Architecture;28
4.2.3;3.2.3 Programmability;31
4.2.4;3.2.4 Execution Model Comparison;36
4.3;3.3 Implementation;36
4.4;3.4 Discussion;38
4.5;3.5 Summary;40
4.6;References;40
5;4 Distributed Collaborative Execution on the Edges and Its Application on AMBER Alert;42
5.1;4.1 Introduction;43
5.2;4.2 Motivation;44
5.2.1;4.2.1 AMBER Alert;44
5.2.1.1;Limitations of Edge Devices;45
5.2.1.2;Control of the Vehicle Tracking Area;46
5.2.2;4.2.2 Distributed Collaborative Execution on the Edge;47
5.3;4.3 AMBER Alert Assistant;47
5.3.1;4.3.1 Application Scenario;47
5.3.2;4.3.2 Application Design;48
5.3.2.1;Control Center;48
5.3.2.2;Task Receiver;49
5.3.2.3;Data Processor;49
5.3.3;4.3.3 Implementation Details;49
5.3.4;4.3.4 Task Scheduling;51
5.3.4.1;Distance-Related Diffusion;52
5.3.4.2;Location-Direction-Related Diffusion;53
5.4;4.4 Evaluation;54
5.4.1;4.4.1 Experimental Setup;54
5.4.2;4.4.2 Collaboration of Local Edge Nodes;55
5.4.3;4.4.3 Task Scheduling;58
5.5;4.5 Related Work;59
5.6;4.6 Summary;61
5.7;References;61
6;5 Challenges and Opportunities in Edge Computing;64
6.1;5.1 Programmability;64
6.2;5.2 Naming;65
6.3;5.3 Data Abstraction;66
6.4;5.4 Service Management;68
6.5;5.5 Privacy and Security;69
6.6;5.6 Application Distribution;70
6.7;5.7 Scheduling Strategies;71
6.8;5.8 Business Model;72
6.9;5.9 Optimization Metrics;72
6.10;5.10 Summary;74
6.11;References;75
7;6 Existing Edge Computing Tools;76
7.1;6.1 What Is Your Role in Edge Computing?;76
7.2;6.2 Virtualization;77
7.2.1;6.2.1 Virtual Machine and Container;78
7.2.2;6.2.2 Network Virtualization;81
7.3;6.3 Resource Management;83
7.3.1;6.3.1 Kubernetes and Docker;84
7.4;6.4 Developing Platforms for Edge Computing;86
7.4.1;6.4.1 Edge Analytics;86
7.4.2;6.4.2 Development Tools and Platforms;89
7.5;6.5 Summary;91
7.6;References;91
8;7 Conclusions;93

Über Autor(innen)

Dr. Weisong Shi is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science at Wayne State University. There he directs the Mobile and Internet Systems Laboratory, Connected and Autonomous Driving Laboratory,  Intel IoT Innovators Lab, and Wayne State Data Science Initiativeand Wireless Health Initiative, investigating performance, reliability, power- and energy-efficiency, trust and privacy issues of networked computer systems and applications. He founded the Metro Detroit  Workshop on Connected and Autonomous Driving (MetroCAD). Dr. Shi is one of the world leaders in the edge computing research community, and has been advocating Edge Computing (Fog Computing) since 2014,  a new computing paradigm in which the computing resources are placed at the edge of the Internet, in close proximity to mobile devices, sensors, end users and the emerging Internet of Everything. Jie Cao is Assistant Professor (Cybersecurity) in the School of Information Security & Applied Computing at Eastern Michigan University.  Dr. Quan Zhang is a Data Engineer at Salesforce. He was previously a Graduate Research Assistant at Wayne State University.