Synopses & Reviews
From the leading minds in the field, Distributed and Cloud Computing is the first modern, up-to-date distributed systems textbook. Starting with an overview of modern distributed models, the book exposes the design principles, systems architecture, and innovative applications of parallel, distributed, and cloud computing systems. It will teach you how to create high-performance, scalable, reliable systems, providing comprehensive coverage of distributed and cloud computing, including:
Facilitating management, debugging, migration, and disaster recovery through virtualization
Clustered systems for research or ecommerce applications
Designing systems as web services
Social networking systems using peer-to-peer computing
Principles of cloud computing using examples from open-source and commercial applications
Using examples from open-source and commercial vendors, the text describes cloud-based systems for research, e-commerce, social networking and more.
Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovey Designed for undergraduate or graduate students taking a distributed systems course--each chapter includes exercises and further reading, with lecture slides and more available online
Review
A modern, up-to-date distributed systems textbook from the leading minds in parallel and cloud computing.
Review
"Grid computing, peer-to-peer computing, cloud computing are emergent fields that have attracted academia and industry over the last few years. It is expected that they will have a huge impact on many areas in business, science and engineering and society at large. The timely publication of this textbook will bring the newest technologies in distributed computing to students." - Yi Pan, Dept of Computer Science, Georgia State University
Synopsis
Distributed and Cloud Computing: From Parallel Processing to the Internet of Things offers complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing. It is the first modern, up-to-date distributed systems textbook; it explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems.
Topics covered by this book include: facilitating management, debugging, migration, and disaster recovery through virtualization; clustered systems for research or ecommerce applications; designing systems as web services; and social networking systems using peer-to-peer computing. The principles of cloud computing are discussed using examples from open-source and commercial applications, along with case studies from the leading distributed computing vendors such as Amazon, Microsoft, and Google. Each chapter includes exercises and further reading, with lecture slides and more available online.
This book will be ideal for students taking a distributed systems or distributed computing class, as well as for professional system designers and engineers looking for a reference to the latest distributed technologies including cloud, P2P and grid computing.
- Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing
- Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more
- Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery
- Designed for undergraduate or graduate students taking a distributed systems course--each chapter includes exercises and further reading, with lecture slides and more available online
Synopsis
Distributed and Cloud Computing, named a 2012 Outstanding Academic Title by the American Library Association's Choice publication, explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems.
Starting with an overview of modern distributed models, the book provides comprehensive coverage of distributed and cloud computing, including:
- Facilitating management, debugging, migration, and disaster recovery through virtualization
- Clustered systems for research or ecommerce applications
- Designing systems as web services
- Social networking systems using peer-to-peer computing
- Principles of cloud computing using examples from open-source and commercial applications
Using examples from open-source and commercial vendors, the text describes cloud-based systems for research, e-commerce, social networking and more.
- Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing
- Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more
- Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery
- Designed for undergraduate or graduate students taking a distributed systems course--each chapter includes exercises and further reading, with lecture slides and more available online
Synopsis
Cloud-based distributed systems such as Facebook, Gmail, Amazon, Salesforce.com and others play an increasingly important role in society. Future software engineers and system designers need to understand the principles that underlie them, in order to build the Internet of tomorrow.
Distributed and Cloud Computing: Clusters, Grids, Clouds, and the Future Internet explains how to create high-performance, scalable, reliable systems.
Starting with an overview of modern distributed models, the text exposes the design principles, systems architecture, and innovative applications of parallel, distributed, and cloud computing systems. The book describes cloud-based systems for research, e-commerce, social networking and more, using examples from open-source and commercial vendors.
About the Author
Geoffrey Fox is Professor of Computer Science, Informatics, and Physics at Indiana University, where he is also the Director of the Grid. He is currently focussing on earthquake science, and GRID technology to build electronic communities linking resources and people.
Indiana University, USA
Table of Contents
Part 1: Systems Modeling, Clustering and Virtualization
Chapter 1: Distributed System Models and Enabling Technologies
1.1 Scalable Computing Service over The Internet
1.2 Technologies for Network-based Computing
1.3 System Models for Distributed and Cloud Computing
1.4 Software Environments for Distributed Systems and Clouds
1.5 Performance, Security, and Energy-Efficiency
1.6 Bibliographic Notes and Homework Problems
Chapter 2: Computer Clusters for Scalable Computing
2.1 Clustering for Massive Parallelism
2.2 Computer Clusters and MPP Architectures
2.3 Design Principles of Computer Clusters
2.4 Cluster Job and Resource Management
2.5 Case Studies of Supercomputyers and MPP Systems
2.6 Bibliographic Notes and Homework Problems
Chapter 3: Virtual Machines and Virtualization of Clusters and Datacenters
3.1 Implementation Levels of Virtualization
3.2 Virtualization Structures/Tools and Mechanisms
3.3 Virtualization of CPU, Memory and I/O Devices
3.4 Virtual Clusters and Resource Management
3.5 Virtualization for Datacenter Automation
3.6 Bibliographic Notes and Homework Problems
Part 2: Computing Clouds and Service-Oriented Architecture
Chapter 4: Design of Cloud Computing Platforms
4.1 Cloud Computing and Service Models
4.2 Datacenter Design and Interconnection Networks
4.3 Architecture Design of Compute and Storage Clouds
4.4 Public Cloud Platforms: GAE, AWS and Windows Azure
4.5 Cloud Resource Management and Exchanges
4.6 Cloud Security and Trust Management
4.7 References and Homework Problems
Chapter 5: Service Oriented Architectures
5.1 Services and Service Oriented Architectures
5.2 Message-Oriented Middleware
5.3 Portals and Science Gateways
5.4 Discovery, Registries, Metadata, and Databases
5.5 Workflow in Service-Oriented Architectures
5.6 Bibliographic Notes and Homework Problems
Chapter 6: Cloud Programming and Software Environments
6.1 Features of Cloud and Grid Platforms
6.2 Parallel and Distributed Programming Paradigms
6.3 Programming Support of Google App Engine
6.4 Amazon Web Services (AWS) Programming
6.5 Microsoft Azure Programming Support
6.6 Emerging Cloud Software Environments
6.7 Bibliographic Notes and Homework Problems
Part 3: Grids, P2P, and The Future Internet
Chapter 7: Grid Computing and Resource Management
7.1 Grid Architecture and Service Modeling
7.2 Case Studies of Grid Computing Systems
7.3 Grid Resource Management and Brokering
7.4 Middleware Support for Grid Resource Management
7.5 Grid Security Infrastructure in GT4
7.6 Bibliographic Notes and Homework Problems
Chapter 8: P2P Computing with Overlay Networks
8.1 Peer-to-Peer Computing Systems
8.2 P2P Overlay Networks and Properties
8.3 Routing, Proximity and Fault Tolerance
8.4 Trust and Reputation Management
8.5 P2P File Sharing and Copyright Protection
8.6 Bibliographic Notes and Homework Problems
Chapter 9: Ubiquitous Computing with Clouds and The Internet of Things
9.1 Cloud Trend To Support Ubiquitous Computing
9.2 Performance Metrics for HPC and HTC Systems
9.3 Enabling Technologies for The Internet of Things
9.4 Innovative Applications of The Internet of Things
9.5 On-Line Social and Professional Networking
9.6 Bibliographic Notes and Homework Problems