Java Distributed Computing discusses how to design and write distributed applications in Java. It covers Java's RMI (Remote Method Invocation) facility and CORBA, but it doesn't stop there; it tells you how to design your own protocols to build message-passing systems, discusses how to use Java's security facilities, how to write multithreaded servers, and more. It pays special attention to distributed data systems, collaboration, and applications that have high bandwidth requirements.

Discusses how to design and write distributed applications in Java. Covers Java's RMI facility and CORBA. Paper.

Java Distributed Computing shows you how to build software in which two or more computers cooperate to produce results. It covers Java's RMI (Remote Method Invocation) facility, in addition to CORBA and various strategies for developing your own distributed framework. It pays attention to issues that are often neglected, like protocol design, security, and bandwidth requirements. Database applications and collaborative applications are covered in detail.

About the Author

Jim Farley is a software engineer, computer scientist, and IT manager. His recent activities have included heading up the engineering group at the Harvard Business School and bringing good things to life at GE's Research and Development center. He's dealt with computing (distributed and otherwise) in lots of different ways, from automated image inspection to temporal reasoning systems. Jim has Bachelor's and Master's degrees in computer systems engineering from Rensselaer Polytechnic Institute.

This redbook identifies some of the basic design aspects of IP networks and explains how to deal with them when implementing new IP networks or redesigning existing IP networks. This project focuses on internetwork and transport layer issues such as address and name management, routing, network management, security, load balancing and performance, design impacts of the underlying networking hardware, remote access, quality of service, and platform-specific issues. Application design aspects, such as e-mail, gateways, Web integration, etc., are discussed briefly where they influence the design of an IP network.

After a general discussion of the aforementioned design areas, this redbook provides three examples for IP network design, depicting a small, medium and large network. You are taken through the steps of the design and the reasoning as to why things are shown one way instead of another. Of course, every network is different and therefore these examples are not intended to generalize. Their main purpose is to illustrate a systematic approach to an IP network design given a specific set of requirements, expectations, technologies and budgets.

This redbook will help you design, create or change IP networks implementing the basic logical infrastructures required for a successful operation of such networks. This book does not describe how to deploy corporate applications such as e-mail, e-commerce, Web server or distributed databases, just to name a few.

Effective, instantly available online help is a requirement for today's interactive applications. Until now, Java application developers have been forced to develop their own help system. That's no longer necessary. With the release of JavaHelp™, there is a complete and standard online help system for the Java™ platform. Creating Effective JavaHelp covers the main features and options of JavaHelp. It shows how to create a basic JavaHelp system, prepare help topics, and deploy the help system in an application. Written for all levels of Java developers and technical writers, the book takes a chapter-by-chapter approach to building concepts. It imparts a complete understanding of how to create usable JavaHelp systems and integrate them into Java applications and applets. Topics covered include:

• Understanding JavaHelp
• Creating your first HelpSet
• Planning the JavaHelp project
• Preparing Help topics
• Creating HelpSet data and navigation files
• Enhancing the HelpSet
• Using the JavaHelp API for advanced presentation options
• Deploying the help system to your users
• Using third-party help-authoring tools

About the Author

Kevin Lewis holds a master's degree in technical and professional writing from Northeastern University in Boston. He has worked extensively with many online help systems and was one of the first help authors to work with JavaHelp. He offers training services in several online help technologies. Kevin has published articles on message-box design and on version-control systems for technical documents.

The object of this study is the production of national identity and national culture within Jordan as both a typical and an atypical postcolonial nation-state. Recent studies of nationalism describe the nation as “invented”1 or “imagined,”2 by intellectuals and/or political elites who are producers of, or produced by, the political discourse of nationalism.3 In this study, I am more interested in whether institutions play a role in the production of colonial and postcolonial national identity and culture. More specifically, I examine whether two key state institutions, law and the military, assist in the production of the nation. Do these institutions contribute to the identification of people as “nationals”? Do they play any role in the production of ideas and practices that come to constitute “national culture”? In posing these and other related questions, what I am proposing is not a general or generalizable theoretical model for the study of nationalism but rather a general and generalizable mode of inquiry.

Now it's easy to perform many of the most common statistical techniques when you use the SAS Enterprise Guide point-and-click interface to access the power of SAS. Emphasizing the practical aspects of the analysis, this example-rich guide shows you how to conduct a wide range of statistical analyses without any SAS programming required. One or more real data sets, a brief introduction of the technique, and a clear explanation of the SAS Enterprise Guide output are provided for each analysis. Exercises at the end of each chapter help you consolidate what has been learned.

Topics include:

• Analysis of variance
• Dealing with categorical data
• Logistic regression
• Regression
• Significance tests
• Survival analysis
• And more!

 

This text is ideal for those who want to use SAS to analyze their data, but do not have the time to undertake the considerable amount of learning involved in the programming approach.

About the Author

Geoff Der is a consulting statistician for the Medical Research Council in Glasgow, Scotland, where he advises research staff on study design and statistical analysis. A SAS user since 1981, Geoff specializes in Base SAS, SAS/STAT, SAS/GRAPH, the SAS Macro facility, ODS, and SAS Enterprise Guide.

Brian S. Everitt is retired as Head of the Department of Biostatistics and Computing, Institute of Psychiatry, King's College, London, and is now Professor Emeritus at King's College.