The cloud computing book : the future of computing explained /: the future of computing explained. (2021)

• Record Type: Book
• Further Information: Note: Douglas Comer.
• Authors: Comer, Douglas
• Contents: Preface ; PART I The Era Of Cloud Computing The Motivations For Cloud ; 1.1 Cloud Computing Everywhere ; 1.2 A Facility For Flexible Computing ; 1.3 The Start Of Cloud: The Power Wall And Multiple Cores ; 1.4 From Multiple Cores To Multiple Machines ; 1.5 From Clusters To Web Sites And Load Balancing ; 1.6 Racks Of Server Computers ; 1.7 The Economic Motivation For A Centralized Data Center ; 1.8 Origin Of The Term “In The Cloud” ; 1.9 Centralization Once Again Elastic Computing And Its Advantages ; 2.1 Introduction ; 2.2 Multi-Tenant Clouds ; 2.3 The Concept Of Elastic Computing ; 2.4 Using Virtualized Servers For Rapid Change ; 2.5 How Virtualized Servers Aid Providers ; 2.6 How Virtualized Servers Help A Customer ; 2.7 Business Models For Cloud Providers ; 2.8 Intrastructure as a Service (IaaS) ; 2.9 Platform as a Service (PaaS) ; 2.10 Software as a Service (SaaS) ; 2.11 A Special Case: Desktop as a Service (DaaS) ; 2.12 Summary Type Of Clouds And Cloud Providers ; 3.1 Introduction ; 3.2 Private And Public Clouds ; 3.3 Private Cloud ; 3.4 Public Cloud ; 3.5 The Advantages Of Public Cloud ; 3.6 Provider Lock-In ; 3.7 The Advantages Of Private Cloud ; 3.8 Hybrid Cloud ; 3.9 Multi-Cloud ; 3.10 Hyperscalers ; 3.11 Summary ; PART II Cloud Infrastructure And Virtualization Data Center Infrastructure And Equipment ; 4.1 Introduction ; 4.2 Racks, Aisles, And Pods ; 4.3 Pod Size ; 4.4 Power And Cooling For A Pod ; 4.5 Raised Floor Pathways And Air Cooling ; 4.6 Thermal Containment And Hot/Cold Aisles ; 4.7 Exhaust Ducts (Chimneys) ; 4.8 Lights-Out Data Centers ; 4.9 A Possible Future Of Liquid Cooling ; 4.10 Network Equipment And Multi-Port Server Interfaces ; 4.11 Smart Network Interfaces And Offload ; 4.12 North-South And East-West Network Traffic ; 4.13 Network Hierarchies, Capacity, And Fat Tree Designs ; 4.14 High Capacity And Link Aggregation ; 4.15 A Leaf-Spine Network Design For East-West Traffic ; 4.16 Scaling A Leaf-Spine Architecture With A Super Spine ; 4.17 External Internet Connections ; 4.18 Storage In A Data Center ; 4.19 Unified Data Center Networks ; 4.20 Summary Virtual Machines ; 5.1 Introduction ; 5.2 Approaches To Virtualization ; 5.3 Properties Of Full Virtualization ; 5.4 Conceptual Organization Of VM Systems ; 5.5 Efficient Execution And Processor Privilege Levels ; 5.6 Extending Privilege To A Hypervisor ; 5.7 Levels Of Trust ; 5.8 Levels Of Trust And I/O Devices ; 5.9 Virtual I/O Devices ; 5.10 Virtual Device Details ; 5.11 An Example Virtual Device ; 5.12 A VM As A Digital Object ; 5.13 VM Migration ; 5.14 Live Migration Using Three Phase; 5.15 Running Virtual Machines In An Application ; 5.16 Facilities That Make A Hosted Hypervisor Possible ; 5.17 How A User Benefits From A Hosted Hypervisor ; 5.18 Summary Containers ; 6.1 Introduction ; 6.2 The Advantages And Disadvantages Of VMs ; 6.3 Traditional Apps And Elasticity On Demand ; 6.4 Isolation Facilities In An Operating System ; 6.5 Linux Namespaces Used For Isolation ; 6.6 The Container Approach For Isolated Apps ; 6.7 Docker Containers; 6.8 Docker Terminology And Development Tools ; 6.9 Docker Software Components ; 6.10 Base Operating System And Files ; 6.11 Items In A Dockerfile ; 6.12 An Example Dockerfile ; 6.13 Summary ; Virtual Networks ; 7.1 Introduction ; 7.2 Conflicting Goals For A Data Center Network ; 7.3 Virtual Networks, Overlays, And Underlays ; 7.4 Virtual Local Area Networks (VLANs) ; 7.5 Scaling VLANs To A Data Center With VXLAN ; 7.6 A Virtual Network Switch Within A Server ; 7.7 Network Address Translation (NAT) ; 7.8 Managing Virtualization And Mobility ; 7.9 Automated Network Configuration And Operation ; 7.10 Software Defined Networking ; 7.11 The OpenFlow Protocol ; 7.12 Programmable Networks ; 7.13 Summary Virtual Storage ; 8.1 Introduction ; 8.2 Persistent Storage: Disks And Files ; 8.3 The Disk Interface Abstraction ; 8.4 The File Interface Abstraction ; 8.5 Local And Remote Storage 1; 8.6 Two Types Of Remote Storage Systems ; 8.7 Network Attached Storage (NAS) Technology ; 8.8 Storage Area Network (SAN) Technology ; 8.9 Mapping Virtual Disks To Physical Disks ; 8.10 Hyper-Converged Infrastructure ; 8.11 A Comparison Of NAS and SAN Technology ; 8.12 Object Storage ; 8.13 Summary ; PART III Automation And Orchestration Automation ; 9.1 Introduction ; 9.2 Groups That Use Automation ; 9.3 The Need For Automation In A Data Center ; 9.4 An Example Deployment ; 9.5 What Can Be Automated? ; 9.6 Levels Of Automation ; 9.7 AIops: Using Machine Learning And Artificial Intelligence ; 9.8 A Plethora Of Automation Tools ; 9.9 Automation Of Manual Data Center Practices ; 9.10 Zero Touch Provisioning And Infrastructure As Code ; 9.11 Declarative, Imperative, And Intent-Based Specifications ; 9.12 The Evolution Of Automation Tools ; 9.13 Summary ; ; Orchestration: Automated Replication And Parallelism ; 10.1 Introduction ; 10.2 The Legacy Of Automating Manual Procedures ; 10.3 Orchestration: Automation With A Larger Scope ; 10.4 Kubernetes: An Example Container Orchestration System ; 10.5 Limits On Kubernetes Scope ; 10.6 The Kubernetes Cluster Model ; 10.7 Kubernetes Pods ; 10.8 Pod Creation, Templates, And Binding Times ; 10.9 Init Containers ; 10.10 Kubernetes Terminology: Nodes And Control Plane ; 10.11 Control Plane Software Components ; 10.12 Communication Among Control Plane Components ; 10.13 Worker Node Software Components ; 10.14 Kubernetes Features 1; 10.15 Summary ; PART IV Cloud Programming Paradigms ; The MapReduce Paradigm ; 11.1 Introduction ; 11.2 Software In A Cloud Environment ; 11.3 Cloud-Native Vs. Conventional Software ; 11.4 Using Data Center Servers For Parallel Processing ; 11.5 Tradeoffs And Limitations Of The Parallel Approach ; 11.6 The MapReduce Programming Paradigm ; 11.7 Mathematical Description Of MapReduce ; 11.8 Splitting Input ; 11.9 Parallelism And Data Size ; 11.10 Data Access and Data Transmission ; 11.11 Apache Hadoop ; 11.12 The Two Major Parts Of Hadoop ; 11.13 Hadoop Hardware Cluster Model ; 11.14 HDFS Components: DataNodes And A NameNode ; 11.15 Block Replication And Fault Tolerance ; 11.16 HDFS And MapReduce ; 11.17 Using Hadoop With Other File Systems ; 11.18 Using Hadoop For MapReduce Computations ; 11.19 Hadoop’s Support For Programming Languages ; 11.20 Summary ; Microservices ; 12.1 Introduction ; 12.2 Traditional Monolithic Applications ; 12.3 Monolithic Applications In A Data Center ; 12.4 The Microservices Approach ; 12.5 The Advantages Of Microservices ; 12.6 The Potential Disadvantages of Microservices ; 12.7 Microservices Granularity ; 12.8 Communication Protocols Used For Microservices ; 12.9 Communication Among Microservices ; 12.10 Using A Service Mesh Proxy ; 12.11 The Potential For Deadlock ; 12.12 Microservices Technologies ; 12.13 Summary ; Controller-Based Management Software ; 13.1 Introduction ; 13.2 Traditional Distributed Application Management ; 13.3 Periodic Monitoring ; 13.4 Managing Cloud-Native Applications ; 13.5 Control Loop Concept ; 13.6 Control Loop Delay, Hysteresis, And Instability ; 13.7 The Kubernetes Controller Paradigm And Control Loop ; 13.8 An Event-Driven Implementation Of A Control Loop ; 13.9 Components Of A Kubernetes Con
• Edition: 1st
• Publisher Details: Boca Raton : Chapman & Hall/CRC
• Publication Date: 2021
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 004.6782; Cloud computing
• Languages: English
• ISBNs: 9781000384284; 9781000384277; 9781003147503
• Related ISBNs: 9780367706807
• Notes: Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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