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Cloud Computing Book: The Future of Computing Explained [Kõva köide]

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  • Formaat: Hardback, 288 pages, kõrgus x laius: 254x178 mm, kaal: 1800 g, 82 Line drawings, black and white; 82 Illustrations, black and white
  • Ilmumisaeg: 01-Jul-2021
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 0367706806
  • ISBN-13: 9780367706807
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Cloud Computing Book: The Future of Computing ExplainedSuurem pilt
  • Formaat: Hardback, 288 pages, kõrgus x laius: 254x178 mm, kaal: 1800 g, 82 Line drawings, black and white; 82 Illustrations, black and white
  • Ilmumisaeg: 01-Jul-2021
  • Kirjastus: Chapman & Hall/CRC
  • ISBN-10: 0367706806
  • ISBN-13: 9780367706807
Teised raamatud teemal:
Teised raamatud sellest sooduspakkumisest: Taylor & Francis teadusraamatud International Student Editions hindadega
Püsilink: https://www.kriso.ee/db/9780367706807.html
Märksõnad:

This latest textbook from bestselling author, Douglas Comer, is a class-tested book providing a comprehensive introduction to cloud computing. Focusing on concepts and principles, rather than commercial offerings by cloud providers and vendors, The Cloud Computing Book: The Future of Computing Explained gives readers a complete picture of the advantages and growth of cloud computing, cloud infrastructure, virtualization, automation and orchestration, and cloud-native software design.

The book explains real and virtual data center facilities, including computation (e.g., servers, hypervisors, Virtual Machines, and containers), networks (e.g., leaf-spine architecture, VLANs, and VxLAN), and storage mechanisms (e.g., SAN, NAS, and object storage). Chapters on automation and orchestration cover the conceptual organization of systems that automate software deployment and scaling. Chapters on cloud-native software cover parallelism, microservices, MapReduce, controller-based designs, and serverless computing. Although it focuses on concepts and principles, the book uses popular technologies in examples, including Docker containers and Kubernetes. Final chapters explain security in a cloud environment and the use of models to help control the complexity involved in designing software for the cloud.

The text is suitable for a one-semester course for software engineers who want to understand cloud, and for IT managers moving an organization’s computing to the cloud.

Preface xv
PART I The Era Of Cloud Computing
1(32)
Chapter 1 The Motivations For Cloud
5(10)
1.1 Cloud Computing Everywhere
5(1)
1.2 A Facility For Flexible Computing
6(1)
1.3 The Start Of Cloud: The Power Wall And Multiple Cores
7(1)
1.4 From Multiple Cores To Multiple Machines
8(1)
1.5 From Clusters To Web Sites And Load Balancing
8(1)
1.6 Racks Of Server Computers
9(1)
1.7 The Economic Motivation For A Centralized Data Center
10(2)
1.8 Origin Of The Term "In The Cloud"
12(1)
1.9 Centralization Once Again
12(3)
Chapter 2 Elastic Computing And Its Advantages
15(10)
2.1 Introduction
15(1)
2.2 Multi-Tenant Clouds
15(1)
2.3 The Concept Of Elastic Computing
16(1)
2.4 Using Virtualized Servers For Rapid Change
16(1)
2.5 How Virtualized Servers Aid Providers
17(1)
2.6 How Virtualized Servers Help A Customer
18(1)
2.7 Business Models For Cloud Providers
18(1)
2.8 Infrastructure as a Service (IaaS)
19(1)
2.9 Platform as a Service (PaaS)
19(1)
2.10 Software as a Service (SaaS)
20(1)
2.11 A Special Case: Desktop as a Service (DaaS)
21(1)
2.12 Summary
22(3)
Chapter 3 Types Of Clouds And Cloud Providers
25(8)
3.1 Introduction
25(1)
3.2 Private And Public Clouds
25(1)
3.3 Private Cloud
26(1)
3.4 Public Cloud
26(1)
3.5 The Advantages Of Public Cloud
27(1)
3.6 Provider Lock-In
28(1)
3.7 The Advantages Of Private Cloud
29(1)
3.8 Hybrid Cloud
30(1)
3.9 Multi-Cloud
31(1)
3.10 Hyperscalers
31(1)
3.11 Summary
32(1)
PART II Cloud Infrastructure And Visualization
33(76)
Chapter 4 Data Center Infrastructure And Equipment
37(18)
4.1 Introduction
37(1)
4.2 Racks, Aisles, And Pods
37(1)
4.3 Pod Size
38(1)
4.4 Power And Cooling For A Pod
38(1)
4.5 Raised Floor Pathways And Air Cooling
39(1)
4.6 Thermal Containment And Hot/Cold Aisles
40(1)
4.7 Exhaust Ducts (Chimneys)
40(1)
4.8 Lights-Out Data Centers
41(1)
4.9 A Possible Future Of Liquid Cooling
42(1)
4.10 Network Equipment And Multi-Port Server Interfaces
43(1)
4.11 Smart Network Interfaces And Offload
43(1)
4.12 North-South And East-West Network Traffic
44(1)
4.13 Network Hierarchies, Capacity, And Fat Tree Designs
45(1)
4.14 High Capacity And Link Aggregation
46(1)
4.15 A Leaf-Spine Network Design For East-West Traffic
47(2)
4.16 Scaling A Leaf-Spine Architecture With A Super Spine
49(1)
4.17 External Internet Connections
49(1)
4.18 Storage In A Data Center
50(1)
4.19 Unified Data Center Networks
51(1)
4.20 Summary
51(4)
Chapter 5 Virtual Machines
55(16)
5.7 Introduction
55(1)
5.2 Approaches To Virtualization
55(2)
5.3 Properties Of Full Virtualization
57(1)
5.4 Conceptual Organization Of VM Systems
58(1)
5.5 Efficient Execution And Processor Privilege Levels
59(1)
5.6 Extending Privilege To A Hypervisor
60(1)
5.7 Levels Of Trust
60(1)
5.8 Levels Of Trust And I/O Devices
61(1)
5.9 Virtual I/O Devices
61(1)
5.10 Virtual Device Details
62(1)
5.11 An Example Virtual Device
63(1)
5.12 A VM As A Digital Object
63(1)
5.13 VM Migration
64(1)
5.14 Live Migration Using Three Phases
65(1)
5.15 Running Virtual Machines In An Application
66(1)
5.16 Facilities That Make A Hosted Hypervisor Possible
67(1)
5.17 How A User Benefits From A Hosted Hypervisor
68(1)
5.18 Summary
68(3)
Chapter 6 Containers
71(16)
6.1 Introduction
71(1)
6.2 The Advantages And Disadvantages Of VMs
71(1)
6.3 Traditional Apps And Elasticity On Demand
72(1)
6.4 Isolation Facilities In An Operating System
73(1)
6.5 Linux Namespaces Used For Isolation
74(1)
6.6 The Container Approach For Isolated Apps
75(1)
6.7 Docker Containers
76(1)
6.8 Docker Terminology And Development Tools
77(1)
6.9 Docker Software Components
78(2)
6.10 Base Operating System And Files
80(1)
6.11 Items In A Dockerfile
81(2)
6.12 An Example Dockerfile
83(1)
6.13 Summary
83(4)
Chapter 7 Virtual Networks
87(12)
7.1 Introduction
87(1)
7.2 Conflicting Goals For A Data Center Network
87(1)
7.3 Virtual Networks, Overlays, And Underlays
88(1)
7.4 Virtual Local Area Networks (VLANs)
89(1)
7.5 Scaling VLANs To A Data Center With VXLAN
90(1)
7.6 A Virtual Network Switch Within A Server
91(1)
7.7 Network Address Translation (NAT)
91(1)
7.8 Managing Virtualization And Mobility
92(1)
7.9 Automated Network Configuration And Operation
93(1)
7.10 Software Defined Networking
94(1)
7.11 The OpenFlow Protocol
95(1)
7.12 Programmable Networks
96(1)
7.13 Summary
96(3)
Chapter 8 Virtual Storage
99(10)
8.1 Introduction
99(1)
8.2 Persistent Storage: Disks And Files
99(1)
8.3 The Disk Interface Abstraction
100(1)
8.4 The File Interface Abstraction
101(1)
8.5 Local And Remote Storage
101(1)
8.6 Two Types Of Remote Storage Systems
102(1)
8.7 Network Attached Storage (NAS) Technology
103(1)
8.8 Storage Area Network (SAN) Technology
104(1)
8.9 Mapping Virtual Disks To Physical Disks
105(1)
8.10 Hyper-Converged Infrastructure
106(1)
8.11 A Comparison Of NAS and SAN Technology
106(1)
8.12 Object Storage
107(1)
8.13 Summary
108(1)
PART III Automation And Orchestration
109(32)
Chapter 9 Automation
113(14)
9.1 Introduction
113(1)
9.2 Groups That Use Automation
113(1)
9.3 The Need For Automation In A Data Center
114(1)
9.4 An Example Deployment
115(1)
9.5 What Can Be Automated?
116(1)
9.6 Levels Of Automation
117(2)
9.7 AIops: Using Machine Learning And Artificial Intelligence
119(1)
9.8 A Plethora Of Automation Tools
119(1)
9.9 Automation Of Manual Data Center Practices
120(1)
9.10 Zero Touch Provisioning And Infrastructure As Code
121(1)
9.11 Declarative, Imperative, And Intent-Based Specifications
121(1)
9.12 The Evolution Of Automation Tools
122(1)
9.13 Summary
123(4)
Chapter 10 Orchestration: Automated Replication And Parallelism
127(14)
10.1 Introduction
127(1)
10.2 The Legacy Of Automating Manual Procedures
127(1)
10.3 Orchestration: Automation With A Larger Scope
128(1)
10.4 Kubernetes: An Example Container Orchestration System
129(1)
10.5 Limits On Kubernetes Scope
130(1)
10.6 The Kubernetes Cluster Model
131(1)
10.7 Kubernetes Pods
132(1)
10.8 Pod Creation, Templates, And Binding Times
133(1)
10.9 Init Containers
134(1)
10.10 Kubernetes Terminology: Nodes And Control Plane
135(1)
10.11 Control Plane Software Components
135(1)
10.12 Communication Among Control Plane Components
136(1)
10.13 Worker Node Software Components
137(1)
10.14 Kubernetes Features
138(2)
10.15 Summary
140(1)
PART IV Cloud Programming Paradigms
141(74)
Chapter 11 The Mapreduce Paradigm
145(18)
11.1 Introduction
145(1)
11.2 Software In A Cloud Environment
145(1)
11.3 Cloud-Native Vs. Conventional Software
146(1)
11.4 Using Data Center Servers For Parallel Processing
147(1)
11.5 Tradeoffs And Limitations Of The Parallel Approach
148(1)
11.6 The MapReduce Programming Paradigm
149(3)
11.7 Mathematical Description Of MapReduce
152(1)
11.5 Splitting Input
152(1)
11.9 Parallelism And Data Size
153(1)
11.10 Data Access And Data Transmission
153(1)
11.11 Apache Hadoop
154(1)
11.12 The Two Major Parts Of Hadoop
154(1)
11.13 Hadoop Hardware Cluster Model
155(1)
11.14 HDFS Components: DataNodes And A NameNode
156(1)
11.15 Block Replication And Fault Tolerance
156(1)
11.16 HDFS And MapReduce
157(1)
11.17 Using Hadoop With Other File Systems
158(1)
11.15 Using Hadoop For MapReduce Computations
158(1)
11.19 Hadoop's Support For Programming Languages
159(1)
11.20 Summary
160(3)
Chapter 12 Microservices
163(18)
12.1 Introduction
163(1)
12.2 Traditional Monolithic Applications
163(1)
12.3 Monolithic Applications In A Data Center
164(1)
12.4 The Microservices Approach
165(1)
12.5 The Advantages Of Microservices
165(2)
12.6 The Potential Disadvantages Of Microservices
167(1)
12.7 Microservices Granularity
168(3)
12.8 Communication Protocols Used For Microservices
171(3)
12.9 Communication Among Microservices
174(1)
12.10 Using A Service Mesh Proxy
175(1)
12.11 The Potential For Deadlock
176(2)
12.12 Microservices Technologies
178(1)
12.13 Summary
178(3)
Chapter 13 Controller-Based Management Software
181(14)
13.1 Introduction
181(1)
13.2 Traditional Distributed Application Management
181(1)
13.3 Periodic Monitoring
182(1)
13.4 Managing Cloud-Native Applications
183(1)
13.5 Control Loop Concept
184(1)
13.6 Control Loop Delay, Hysteresis, And Instability
185(1)
13.7 The Kubernetes Controller Paradigm And Control Loop
186(1)
13.8 An Event-Driven Implementation Of A Control Loop
187(1)
13.9 Components Of A Kubernetes Controller
188(1)
13.10 Custom Resources And Custom Controllers
189(1)
13.11 Kubernetes Custom Resource Definition (CRD)
190(1)
13.12 Service Mesh Management Tools
191(1)
13.13 Reactive Or Dynamic Planning
191(1)
13.14 A Goal: The Operator Pattern
192(1)
13.15 Summary
192(3)
Chapter 14 Server Less Computing And Event Processing
195(12)
14.1 Introduction
195(1)
14.2 Traditional Client-Server Architecture
195(1)
14.3 Scaling A Traditional Server To Handle Multiple Clients
196(1)
14.4 Scaling A Server In A Cloud Environment
197(1)
14.5 The Economics Of Servers In The Cloud
197(1)
14.6 The Serverless Computing Approach
198(1)
14.7 Stateless Servers And Containers
199(2)
14.8 The Architecture Of A Serverless Infrastructure
201(1)
14.9 An Example Of Serverless Processing
201(1)
14.10 Potential Disadvantages Of Serverless Computing
202(2)
14.11 Summary
204(3)
Chapter 15 Devops
207(8)
15.1 Introduction
207(1)
15.2 Software Creation And Deployment
207(1)
15.3 The Realistic Software Development Cycle
208(1)
15.4 Large Software Projects And Teams
208(1)
15.5 Disadvantages Of Using Multiple Teams
209(1)
15.6 The DevOps Approach
210(1)
15.7 Continuous Integration (CI): A Short Change Cycle
211(1)
15.8 Continuous Delivery (CD): Deploying Versions Rapidly
212(1)
15.9 Cautious Deployment: Sandbox, Canary, And Blue/Green
212(1)
15.10 Difficult Aspects Of The DevOps Approach
213(1)
15.11 Summary
214(1)
PART V Other Aspects Of Cloud
215(50)
Chapter 16 Edge Computing And Mot
219(14)
16.1 Introduction
219(1)
16.2 The Latency Disadvantage Of Cloud
219(1)
16.3 Situations Where Latency Matters
220(1)
16.4 Industries That Need Low Latency
220(1)
16.5 Moving Computing To The Edge
221(1)
16.6 Extending Edge Computing To A Fog Hierarchy
222(1)
16.7 Caching At Multiple Levels Of A Hierarchy
223(1)
16.8 An Automotive Example
224(1)
16.9 Edge Computing And HoT
225(2)
16.10 Communication For IIoT
227(1)
16.11 Decentralization Once Again
228(1)
16.12 Summary
229(4)
Chapter 17 Cloud Security And Privacy
233(14)
17.1 Introduction
233(1)
17.2 Cloud-Specific Security Problems
233(2)
17.3 Security In A Traditional Infrastructure
235(1)
17.4 Why Traditional Methods Do Not Suffice For The Cloud
236(1)
17.5 The Zero Trust Security Model
237(1)
17.6 Identity Management
238(1)
17.7 Privileged Access Management (PAM)
238(1)
17.8 AI Technologies And Their Effect On Security
239(1)
17.9 Protecting Remote Access
240(1)
17.10 Privacy In A Cloud Environment
241(1)
17.11 Back Doors, Side Channels, And Other Concerns
242(1)
17.12 Cloud Providers As Partners For Security And Privacy
242(1)
17.13 Summary
243(4)
Chapter 1 Controlling The Complexity Of Cloud-Native Systems
247(18)
18.1 Introduction
247(1)
18.2 Sources Of Complexity In Cloud Systems
247(1)
18.3 Inherent Complexity In Large Distributed Systems
248(1)
18.4 Designing A Flawless Distributed System
249(1)
18.5 System Modeling
249(1)
18.6 Mathematical Models
250(1)
18.7 An Example Graph Model To Help Avoid Deadlock
251(1)
18.5 A Graph Model For A Startup Sequence
252(2)
18.9 Modeling Using Mathematics
254(1)
18.10 An Example TLA+ Specification
255(1)
18.11 System State And State Changes
256(1)
18.12 The Form Of A TLA+ Specification
257(2)
18.13 Symbols In A TLA+ Specification
259(2)
18.14 State Transitions For The Example
261(2)
18.15 Conclusions About Temporal Logic Models
263(1)
18.16 Summary
263(2)
Index 265
Dr. Douglas Comer is a Distinguished Professor at Purdue University, an industry consultant, and internationally-acclaimed author. He served as the inaugural VP of Research at Cisco Systems, and maintains ties with industry. His books are used in industry and academia around the world. Comer is a Fellow of the ACM, a member of the Internet Hall of Fame, and the recipient of numerous teaching awards. His ability to make complex topics understandable gives his books broad appeal for a wide variety of audiences.