ebook ebooks e-book e-books downloaden bei MyEbooks.ch downloaden

Edge Computing: A Primer

:	Jie Cao, Quan Zhang, Weisong Shi
:	Edge Computing: A Primer
:	Springer-Verlag
:	9783030020835
:	1
:	CHF 66.50
:

:	Informatik
:	English

:	94
:	Wasserzeichen/DRM
:	PC/MAC/eReader/Tablet
:	PDF

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. InEdge 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.

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.

< r>

Dr. Quan Zhang is a Data Engineer at Salesforce. He was previously a Graduate Research Assistant at Wayne State University.

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