Description: Preface. 1. Parallel and Distributed Computing (S. Hariri & M. Parashar). 1.1 Introduction: Basic Concepts. 1.2 Promises and Challenges of Parallel and Distributed Systems. 1.2.1 Processing Technology. 1.2.2 Networking Technology. 1.2.3 Software Tools and Environments. 1.3 Distributed System Design Framework. References and Further Reading. 2. Message-Passing Tools (S. Hariri & I. Ra). 2.1 Introduction. 2.2 Message-Passing Tools versus Distributed Shared Memory. 2.2.1 Distributed Shared Memory Model. 2.2.2 Message-Passing Model. 2.3 Message-Passing System: Desirable Features. 2.4 Classification of Message-Passing Tools. 2.4.1 Classification by Implementation. 2.5 Overview of Message-Passing Tools. 2.5.1 Socket-Based Message Passing. 2.5.2 p4. 2.5.3 Parallel Virtual Machine. 2.5.4 Message-Passing Interface. 2.5.5 Nexus. 2.5.6 Madeleine I and II. 2.5.7 Active Messages. 2.6 ACS. 2.6.1 Multithread Communications Services. 2.6.2 Separation of Data and Control Functions. 2.6.3 Programmable Communication, Control, and Management Service. 2.6.4 Multiple Communication Interfaces. 2.6.5 Adaptive Group Communication Services. 2.7 Experimental Results and Analysis. 2.7.1 Experimental Environment. 2.7.2 Performance of Primitives. 2.7.3 Application Performance Benchmarking. 2.7.4 Performance Results of Adaptive Schemes. 2.8 Conclusions. References. 3. Distributed Shared Memory Tools (M. Parashar & S. Chandra). 3.1 Introduction. 3.2 Cache Coherence. 3.2.1 Directory-Based Cache Coherence. 3.3 Shared Memory Consistency Models. 3.4 Distributed Memory Architectures. 3.5 Classification of Distributed Shared Memory Systems. 3.5.1 Hardware-Based DSM Systems. 3.5.2 Mostly Software Page-Based DSM Systems. 3.5.3 All-Software Object-Based DSM Systems. References. 4. Distributed-Object Computing Tools (R. Raje, et al.). 4.1 Introduction. 4.2 Basic Model. 4.2.1 RMI. 4.2.2 CORBA. 4.2.3 DCOM. 4.3 Examples. 4.3.1 Experimental Setup. 4.3.2 Developing Applications under RMI, CORBA, and DCOM. 4.3.3 Experiment 1: Ping. 4.3.4 Experiment 2: Producer-Consumer Problem. 4.3.5 Experiment 3: Numerical Computation. 4.4 Comparison of the Three Paradigms. 4.4.1 Dependency Issues. 4.4.2 Implementation Details. 4.4.3 Architecture Details. 4.4.4 Support for Additional Features. 4.4.5 Performance Comparison. 4.5 Conclusions. References. 5. Gestalt of the Grid (G. von Laszewski & P. Wagstrom). 5.1 Introduction. 5.1.1 Motivation. 5.1.2 Enabling Factors. 5.2 Definitions. 5.3 Multifaceted Grid Architecture. 5.3.1 N-Tiered Grid Architecture. 5.3.2 Role-Based Grid Architecture. 5.3.3 Service-Based Grid Architecture. 5.3.4 Grid Challenges. 5.4 Grid Management Aspects. 5.4.1 Managing Grid Security. 5.4.2 Managing Grid Information. 5.4.3 Managing Grid Data. 5.4.4 Managing Grid Execution and Resources. 5.4.5 Managing Grid Software. 5.4.6 Managing Grid Hardware. 5.5 Grid Activities. 5.5.1 Community Activities. 5.5.2 Grid Middleware. 5.5.3 High-Throughput Computing. 5.6 Grid Applications. 5.6.1 Astrophysics Simulation Collaboratory. 5.6.2 Particle Physics Data Grid. 5.6.3 NEESgrid. 5.7 Portals. 5.7.1 HotPage. 5.7.2 Webflow and G

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