Cloud Computing: Theory and Practice, 2nd Edition

Cover image
Title page
Table of Contents
Copyright
Dedication
Foreword
Preface to the Second Edition
Literature
Abbreviations
Chapter 1: Introduction
Abstract
1.1. Cloud Computing
1.2. Network-Centric Computing and Network-Centric Content
1.3. Cloud Computing, an Old Idea Whose Time Has Come
1.4. Cloud Delivery Models and Defining Attributes
1.5. Ethical Issues in Cloud Computing
1.6. Cloud Vulnerabilities
Literature
Chapter 2: Cloud Service Providers and the Cloud Ecosystem
Abstract
2.1. The Cloud Ecosystem
2.2. Cloud Computing Delivery Models and Services
2.3. Amazon Web Services
2.4. The Continuing Evolution of AWS
2.5. Google Clouds
2.6. Microsoft Windows Azure and Online Services
2.7. Cloud Storage Diversity and Vendor Lock-in
2.8. Cloud Computing Interoperability; the Intercloud
2.9. Service-Level Agreements and Compliance-Level Agreements
2.10. Responsibility Sharing Between a User and the CSP
2.11. User Experience
2.12. Software Licensing
2.13. Energy Use and Ecological Impact of Cloud Computing
2.14. Major Challenges Faced by Cloud Computing
2.15. Further Readings
2.16. Exercises and Problems
Literature
Section 1
Chapter 3: Concurrency in the Cloud
Abstract
3.1. Enduring Challenges; Concurrency and Cloud Computing
3.2. Communication and Concurrency in Computing
3.3. Computational Models; The BSP Model
3.4. A Model for Multicore Computing
3.5. Modeling Concurrency with Petri Nets
3.6. Process State; Global State of a Process or Thread Group
3.7. Communication Protocols and Process Coordination
3.8. Communication, Logical Clocks, and Message Delivery Rules
3.9. Runs and Cuts; Causal History
3.10. Threads and Activity Coordination
3.11. Critical Sections, Locks, Deadlocks, and Atomic Actions
3.12. Consensus Protocols
3.13. Load Balancing
3.14. Multithreading and Concurrency in Java; FlumeJava
3.15. History Notes and Further Readings
3.16. Exercises and Problems
Literature
Chapter 4: Parallel and Distributed Systems
Abstract
4.1. Data, Thread-Level and Task-Level Parallelism
4.2. Parallel Architectures
4.3. SIMD Architectures; Vector Processing and Multimedia Extensions
4.4. Graphics Processing Units
4.5. Speedup, Amdhal's Law, and Scaled Speedup
4.6. Multicore Processor Speedup
4.7. Distributed Systems; System Modularity
4.8. Soft Modularity versus Enforced Modularity
4.9. Layering and Hierarchy
4.10. Virtualization; Layering and Virtualization
4.11. Peer-to-Peer Systems
4.12. Large-Scale Systems
4.13. Composability Bounds and Scalability
4.14. History Notes and Further Readings
4.15. Exercises and Problems
Literature
Section 2
Chapter 5: Cloud Access and Cloud Interconnection Networks
Abstract
5.1. Packet-Switched Networks and the Internet
5.2. The Transformation of the Internet
5.3. Web Access and the TCP Congestion Control Window
5.4. Named Data Networks
5.5. Software Defined Networks
5.6. Interconnection Networks for Computer Clouds
5.7. Multistage Interconnection Networks
5.8. InfiniBand and Myrinet
5.9. Storage Area Networks and the Fibre Channel
5.10. Scalable Data Center Communication Architectures
5.11. Network Resource Management Algorithms
5.12. Content Delivery Networks
5.13. Vehicular Ad Hoc Networks
5.14. Further Readings
5.15. Exercises and Problems
Literature
Chapter 6: Cloud Data Storage
Abstract
6.1. The Evolution of Storage Technologies
6.2. Storage Models, File Systems, and Databases
6.3. Distributed File Systems; the Precursors
6.4. General Parallel File System
6.5. Google File System
6.6. Locks; Chubby – a Locking Service
6.7. NoSQL Databases
6.8. Data Storage for Online Transaction Processing Systems
6.9. BigTable
6.10. Megastore
6.11. Storage Reliability at Scale
6.12. Disk Locality versus Data Locality in Computer Clouds
6.13. Database Provenance
6.14. History Notes and Further Readings
6.15. Exercises and Problems
Literature
Section 3
Chapter 7: Cloud Applications
Abstract
7.1. Cloud Application Development and Architectural Styles
7.2. Coordination of Multiple Activities
7.3. Workflow Patterns
7.4. Coordination Based on a State Machine Model – the ZooKeeper
7.5. The MapReduce Programming Model
7.6. Case Study: the GrepTheWeb Application
7.7. Hadoop, Yarn, and Tez
7.8. SQL on Hadoop: Pig, Hive, and Impala
7.9. Current Cloud Applications and New Opportunities
7.10. Clouds for Science and Engineering
7.11. Cloud Computing for Biology Research
7.12. Social Computing, Digital Content, and Cloud Computing
7.13. Software Fault Isolation
7.14. Further Readings
7.15. Exercises and Problems
Literature
Chapter 8: Cloud Hardware and Software
Abstract
8.1. Challenges; Virtual Machines and Containers
8.2. Cloud Hardware; Warehouse-scale Computers
8.3. WSC Performance
8.4. Hypervisors
8.5. An Engine for Coarse-Grained Data-Parallel Applications
8.6. Fine-Grained Cluster Resource Sharing
8.7. Cluster Management with Borg
8.8. Shared State Cluster Management
8.9. QoS-aware Cluster Management
8.10. Resource Isolation
8.11. In-memory Cluster Computing for Big Data
8.12. Containers; Docker Containers
8.13. Kubernetes
8.14. Further Readings
8.15. Exercises and Problems
Literature
Chapter 9: Cloud Resource Management and Scheduling
Abstract
9.1. Policies and Mechanisms for Resource Management
9.2. Cloud Resource Utilization and Energy Efficiency
9.3. Resource Management and Dynamic Application Scaling
9.4. Control Theory and Optimal Resource Management
9.5. Stability of a Two-level Resource Allocation Architecture
9.6. Feedback Control Based on Dynamic Thresholds
9.7. Coordination of Autonomic Performance Managers
9.8. A Utility Model for Cloud-Based Web Services
9.9. Scheduling Algorithms for Computer Clouds
9.10. Delay Scheduling
9.11. Data-Aware Scheduling
9.12. Apache Capacity Scheduler
9.13. Start-Time Fair Queuing
9.14. Borrowed Virtual Time
9.15. Further Readings
9.16. Exercises and Problems
Literature
Chapter 10: Cloud Resource Virtualization
Abstract
10.1. Performance and Security Isolation in Computer Clouds
10.2. Virtual Machines
10.3. Full Virtualization and Paravirtualization
10.4. Hardware Support for Virtualization
10.5. Xen – a Hypervisor Based on Paravirtualization
10.6. Optimization of Network Virtualization in Xen 2.0
10.7. Kernel-Based Virtual Machine
10.8. Nested Virtualization
10.9. A Trusted Kernel-Based Virtual Machine for ARMv8
10.10. Paravirtualization of Itanium Architecture
10.11. A Performance Comparison of Virtual Machines
10.12. Open-Source Software Platforms for Private Clouds
10.13. The Darker Side of Virtualization
10.14. Virtualization Software
10.15. History Notes and Further Readings
10.16. Exercises and Problems
Literature
Section 4
Chapter 11: Cloud Security
Abstract
11.1. Security, the Top Concern for Cloud Users
11.2. Cloud Security Risks
11.3. Privacy and Privacy Impact Assessment
11.4. Trust
11.5. Cloud Data Encryption
11.6. Security of Database Services
11.7. Operating System Security
11.8. Virtual Machine Security
11.9. Security of Virtualization
11.10. Security Risks Posed by Shared Images
11.11. Security Risks Posed by a Management OS
11.12. Xoar – Breaking the Monolithic Design of the TCB
11.13. A Trusted Hypervisor
11.14. Mobile Devices and Cloud Security
11.15. Further Readings
11.16. Exercises and Problems
Literature
Chapter 12: Big Data, Data Streaming, and the Mobile Cloud
Abstract
12.1. Big Data
12.2. Data Warehouses and Google Databases for Big Data
12.3. Bootstrapping Techniques for Data Analytics
12.4. Approximate Query Processing
12.5. Dynamic Data-Driven Applications
12.6. Data Streaming
12.7. A Dataflow Model for Data Streaming
12.8. Joining Multiple Data Streams
12.9. System Availability at Scale
12.10. The Scale and the Latency
12.11. Mobile Computing and Applications
12.12. Energy Efficiency of Mobile Computing
12.13. Alternative Mobile Cloud Computing Models
12.14. Mobile Edge Cloud and Markov Decision Processes
12.15. Further Readings
12.16. Exercises and Problems
Literature
Chapter 13: Advanced Topics
Abstract
13.1. A Glimpse at the Future
13.2. Cloud Scheduling Subject to Deadlines
13.3. Scheduling MapReduce Applications Subject to Deadlines
13.4. Emergence and Self-Organization
13.5. Resource Bundling; Combinatorial Auctions for Cloud Resources
13.6. Cloud Interoperability and Super Clouds
13.7. In Search for Blooms Amid a Flurry of Challenges
Literature
Appendix A: Cloud Application Development
A.1. AWS EC2 Instances
A.2. Connecting Clients to Cloud Instances through Firewalls
A.3. Security Rules for Application- and Transport-Layer Protocols in EC2
A.4. How to Launch an EC2 Linux Instance and Connect to It
A.5. How to Use S3 in Java
A.6. How to Manage AWS SQS Services in C#
A.7. How to Install SNS on Ubuntu 10.04
A.8. How to Create an EC2 Placement Group and use MPI
A.9. StarCluster – A Cluster Computing Toolkit for EC2
A.10. An Alternative Setting of an MPI Virtual Cluster
A.11. How to Install Hadoop on Eclipse on a Windows System
A.12. Exercises and Problems
Literature
Appendix B: Cloud Projects
B.1. Cloud-Based Simulation of a Distributed Trust Algorithm
B.2. Simulation of Traffic Management in a Smart City
B.3. A Cloud Trust Management Service
B.4. A Cloud Service for Adaptive Data Streaming
B.5. Cloud-Based Optimal FPGA Synthesis
B.6. Tensor Network Contraction on AWS
Literature
Literature
Glossary
Index