Fundamentals Of Distributed Object Systems

Distributed Object Computing teaches readers the fundamentals of CORBA, the leading architecture for design of software used in parallel and distributed computing applications. Since CORBA is based on open standards, it is the only effective way to learn object-oriented programming for distributed systems. This language independent book allows material to be taught using Java, C++ or other Object Oriented Programming Languages.

Distributed Object Architectures with CORBA is a guide to designing software comprised of distributed components. While it is based on OMG's Common Object Request Broker Architecture (CORBA) standard, the principles also apply to architecture built with other technology (such as Microsoft's DCOM). As ORB products evolve to incorporate new additions to CORBA, the knowledge and experience required to build stable and scalable systems is not widespread. With this volume the reader can develop the skills and knowledge that are necessary for building such systems. The book assumes a familiarity with object-oriented concepts and the basics of CORBA. Software developers who are new to building systems with CORBA-based technologies will find this a useful guide to effective development.

This book presents the most current information on distributed object management; a synthesis between systems and object orientation. It will be of interest to researchers in the field.

"This book helps software practitioners analyze and transcend their personal biases toward COM or CORBA so that they may objectively seek the best implementation strategy. The author helps you cut through vendor marketing hype by presenting a clear, logical formula to help you choose between the two technologies. In short, COM and CORBA Side by Side is an invaluable resource for making informed, critical decisions about using one or both of these technologies in your next project."--Jacket.

* Comprehensive introduction to the fundamental results in the mathematical foundations of distributed computing * Accompanied by supporting material, such as lecture notes and solutions for selected exercises * Each chapter ends with bibliographical notes and a set of exercises * Covers the fundamental models, issues and techniques, and features some of the more advanced topics

Winner! 1996 Software Development/Jolt Productivity Award! "The first clear roadmap to commercial-grade object-oriented systems that many have been waiting for." -Tibbets and Bernstein, Information Week "A worthy sequel to The Essential Client/Server Survival Guide. It frames the CORBA and OLE/COM debate in ways useful to anyone curious about the technical underpinnings of a global computing fabric." -Jon Udell, Byte "Chock-full of useful information." -Mark Betz, Windows Tech Journal This is your best source to help you make intelligent decisions about distributed objects, component technologies, and their standards. Bestselling authors Orfali, Harkey, and Edwards combine detailed technical explanations with their unique brand of offbeat humor-using clever cartoons, controversial soapboxes, and witty quotes. You'll get the full story on distributed objects, including: * What CORBA 2.0 and OLE/COM can do, and how they differ * How distributed objects, components, and client/server come together * Detailed coverage of object frameworks, component suites, business objects, compound documents, and TP monitors * The inside scoop on key products like SOM, Orbix, ObjectBroker, Newi, and DOE Visit our web page at www.wiley.com/compbooks/

Addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks With concerns about global energy consumption at an all-time high, improving computer networks energy efficiency is becoming an increasingly important topic. Large-Scale Distributed Systems and Energy Efficiency: A Holistic View addresses innovations in technology relating to the energy efficiency of a wide variety of contemporary computer systems and networks. After an introductory overview of the energy demands of current Information and Communications Technology (ICT), individual chapters offer in-depth analyses of such topics as cloud computing, green networking (both wired and wireless), mobile computing, power modeling, the rise of green data centers and high-performance computing, resource allocation, and energy efficiency in peer-to-peer (P2P) computing networks. Discusses measurement and modeling of the energy consumption method Includes methods for energy consumption reduction in diverse computing environments Features a variety of case studies and examples of energy reduction and assessment Timely and important, Large-Scale Distributed Systems and Energy Efficiency is an invaluable resource for ways of increasing the energy efficiency of computing systems and networks while simultaneously reducing the carbon footprint.

A new model for task scheduling that dramatically improves the efficiency of parallel systems Task scheduling for parallel systems can become a quagmire of heuristics, models, and methods that have been developed over the past decades. The author of this innovative text cuts through the confusion and complexity by presenting a consistent and comprehensive theoretical framework along with realistic parallel system models. These new models, based on an investigation of the concepts and principles underlying task scheduling, take into account heterogeneity, contention for communication resources, and the involvement of the processor in communications. For readers who may be new to task scheduling, the first chapters are essential. They serve as an excellent introduction to programming parallel systems, and they place task scheduling within the context of the program parallelization process. The author then reviews the basics of graph theory, discussing the major graph models used to represent parallel programs. Next, the author introduces his task scheduling framework. He carefully explains the theoretical background of this framework and provides several examples to enable readers to fully understand how it greatly simplifies and, at the same time, enhances the ability to schedule. The second half of the text examines both basic and advanced scheduling techniques, offering readers a thorough understanding of the principles underlying scheduling algorithms. The final two chapters address communication contention in scheduling and processor involvement in communications. Each chapter features exercises that help readers put their new skills into practice. An extensive bibliography leads to additional information for further research. Finally, the use of figures and examples helps readers better visualize and understand complex concepts and processes. Researchers and students in distributed and parallel computer systems will find that this text dramatically improves their ability to schedule tasks accurately and efficiently.