Covers clusters, grids, clouds and the future internet.

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

Kai Hwang is a Professor of Computer Engineering, University of Southern California and an IV-endowed visiting Chair Professor, Tsinghua University, China. He earned the Ph.D. in EECS from University of California at Berkeley. An IEEE Life Fellow, He has published extensively in computer architecture, digital arithmetic, parallel processing, distributed systems, Internet security, and cloud computing. He has founded the Journal of Parallel and Distributed Computing and delivered three dozens of keynote addresses in major IEEE/ACM Conferences. He received the 2004 Outstanding Achievement Award from China Computer Federation and the IEEE 2011 IPDPS Founders' Award for his pioneering contributions in the field of parallel processing.