This best-selling and classic book teaches you the key principles of computer networks with examples drawn from the real world of network and protocol design. Using the Internet as the primary example, the authors explain various protocols and networking technologies. Their systems-oriented approach encourages you to think about how individual network components fit into a larger, complex system of interactions. Whatever your perspective, whether it be that of an application developer, network administrator, or a designer of network equipment or protocols, you will come away with a “big picture” understanding of how modern networks and their applications are built. *Completely updated content with expanded coverage of the topics of utmost importance to networking professionals and students, including P2P, wireless, security, and applications. *Increased focus on application layer issues where innovative and exciting research and design is currently the center of attention. *Free downloadable network simulation software and lab experiments manual available.

Key Features Completely updated content with expanded coverage of the topics of utmost importance to networking professionals and students, including P2P, wireless, security, and applications. Increased focus on application layer issues where innovative and exciting research and design is currently the center of attention. Free downloadable network simulation software and lab experiments manual available. Read a sample chapter from Computer Networks

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A Theory of Fun for Game Design is not your typical how-to book. It features a novel way of teaching interactive designers how to create and improve their designs to incorporate the highest degree of fun. As the book shows, designing for fun is all about making interactive products like games highly entertaining, engaging, and addictive. The book’s unique approach of providing a highly visual storyboard approach combined with a narrative on the art and practice of designing for fun is sure to be a hit with game and interactive designers, At first glance A Theory of Fun for Game Design is a book that will truly inspire and challenge game designers to think in new was; however, its universal message will influence designers from all walks of life. This book captures the real essence of what drives us to seek out products and experiences that are truly fun and entertaining. The author masterfully presents his engaging theory by showing readers how many designs are lacking because they are predictable and not engaging enough. He then explains how great designers use different types of elements in new ways to make designs more fun and compelling. Anyone who is interested in design will enjoy how the book works on two levels–as a quick inspiration guide to game design, or as an informative discussion that details the insightful thinking from a great mind in the game industry.

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The book contains basic concepts, several applications of Genetic Algorithms and solved Genetic Problems using MATLAB software and C/C++.

The salient features of the book include – detailed explanation of Genetic Algorithm concepts, – numerous Genetic Algorithm Optimization Problems, – study on various types of Genetic Algorithms, – implementation of Optimization problem using C and C++, – simulated solutions for Genetic Algorithm problems using MATLAB 7.0, – brief description on the basics of Genetic Programming, – application case studies on Genetic Algorithm on emerging fields.
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Cloud computing continues to emerge as a subject of substantial industrial and academic interest. Although the meaning and scope of “cloud computing” continues to be debated, the current notion of clouds blurs the distinctions between grid services, web services, and data centers, among other areas. Clouds also bring considerations of lowering the cost for relatively bursty applications to the fore. Cloud Computing: Principles, Systems and Applications is an essential reference/guide that provides thorough and timely examination of the services, interfaces and types of applications that can be executed on cloud-based systems.
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This textbook presents a variety of applied mathematics topics in science and engineering with an emphasis on problem solving techniques using MATLAB®. The authors provide a general overview of the MATLAB language and its graphics abilities before delving into problem solving, making the book useful for readers without prior MATLAB experience. They explain how to generate code suitable for various applications so that readers can apply the techniques to problems not covered in the book. Examples, figures, and MATLAB scripts enable readers with basic mathematics knowledge to solve various applied math problems in their fields while avoiding unnecessary technical details.

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The field of computer vision is now opening up possibilities offered by analyzing surface data for object recognition and scene understanding. This volume, which highlights current research, demonstrates that surface information can greatly simplify the image understanding process. The study is as much about a style of model-based three dimensional scene analysis as about a particular example of that style. The style combines surface patches segmented from the three dimensional scene description, surface patch based object models, a hierarchy of representations, models and recognitions, a distributed network-based model invocation process and a knowledge-based model matcher. The aim of the work is to show that these elements fit together well, and make it easy to extend the competence of current vision systems without complications.

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Since the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer power as easily as we can access the electric power grid. Later on, Cloud Computing brought the promise of providing easy and inexpensive access to remote hardware and storage resources. Exploiting pay-per-use models and virtualization for resource provisioning, cloud computing has been rapidly accepted and used by researchers, scientists and industries. In this volume, contributions from internationally recognized experts describe the latest findings on challenging topics related to grid and cloud database management. By exploring current and future developments, they provide a thorough understanding of the principles and techniques involved in these fields. The presented topics are well balanced and complementary, and they range from well-known research projects and real case studies to standards and specifications, and non-functional aspects such as security, performance and scalability. Following an initial introduction by the editors, the contributions are organized into four sections: Open Standards and Specifications, Research Efforts in Grid Database Management, Cloud Data Management, and Scientific Case Studies.With this presentation, the book serves mostly researchers and graduate students, both as an introduction to and as a technical reference for grid and cloud database management. The detailed descriptions of research prototypes dealing with spatiotemporal or genomic data will also be useful for application engineers in these fields.

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Cloud computing is a buzz-word in today’s information technology (IT) that nobody can escape. But what is really behind it? There are many interpretations of this term, but no standardized or even uniform definition. Instead, as a result of the multi-faceted viewpoints and the diverse interests expressed by the various stakeholders, cloud computing is perceived as a rather fuzzy concept.

With this book, the authors deliver an overview of cloud computing architecture, services, and applications. Their aim is to bring readers up to date on this technology and thus to provide a common basis for discussion, new research, and novel application scenarios. They first introduce the foundation of cloud computing with its basic technologies, such as virtualization and Web services. After that they discuss the cloud architecture and its service modules. The following chapters then cover selected commercial cloud offerings (including Amazon Web Services and Google App Engine) and management tools, and present current related open-source developments (including Hadoop, Eucalyptus, and Open CirrusTM). Next, economic considerations (cost and business models) are discussed, and an evaluation of the cloud market situation is given. Finally, the appendix contains some practical examples of how to use cloud resources or cloud applications, and a glossary provides concise definitions of key terms.
The authors’ presentation does not require in-depth technical knowledge. It is equally intended as an introduction for students in software engineering, web technologies, or business development, for professional software developers or system architects, and for future-oriented decision-makers like top executives and managers.
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Communication and Concurrency develops a general calculus of concurrent programming from first principles. The book provides an understanding of concurrency through a very small number of primitive ideas and illustrates how these ideas apply to hardware and software, to specification and implementation. The material is organised to form the basis of a practical course.
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This book considers one of the basic problems in discrete mathematics: given a collection of constraints, describe up to isomorphism all the objects that meet them. Only a handful of classification results for combinatorial objects are dated before the mid-20th century; indeed, it is through modern computers and recent developments in algorithms that this topic has flourished and matured. This book is the first comprehensive reference on combinatorial classification algorithms, with emphasis on both the general theory and application to central families of combinatorial objects, in particular, codes and designs.
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