Distributed computing

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  • Java(TM) Network Programming and Distributed Computing is an accessible introduction to the changing face of networking theory, Java(TM) technology, and the fundamental elements of the Java networking API. With the explosive growth of the Internet, Web applications, and Web services, the majority of today's programs and applications require some form of networking. Because it was created with extensive networking features, the Java programming language is uniquely suited for network programming and distributed computing....

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  • Tham khảo sách 'java™ network programming and distributed computing', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Parallel and distributed computing has offered the opportunity of solving a wide range of computationally intensive problems by increasing the computing power of sequential computers. Although important improvements have been achieved in this field in the last 30 years, there are still many unresolved issues. These issues arise from several broad areas, such as the design of parallel systems and scalable interconnects, the efficient distribution of processing tasks, or the development of parallel algorithms....

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  • Tham khảo sách 'java distributed computing', công nghệ thông tin, kỹ thuật lập trình phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • Over the past several years there have been a number of projects aimed at building ‘production’ Grids. These Grids are intended to provide identified user communities with a rich, stable, and standard distributed computing environment. By ‘standard’ and ‘Grids’, we specifically mean Grids based on the common practice and standards coming out of the Global Grid Forum (GGF) (www.gridforum.org).

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  • Recent developments in high-speed networking enables collective use of globally distributed computing resources as a huge single problem-solving environment, also known as the Grid. The Grid not only presents a new, more difficult degree of inherent challenges in distributed computing such as heterogeneity, security, and instability, but will also require the constituent software substrates to be seamlessly interoperable across the network

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  • The primary focus of this book is the rapidly evolving software technology for supporting the development, execution, management, and experimentation with parallel and distributed computing environments.

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  • The term ‘the Grid’ was coined in the mid-1990s to denote a proposed distributed computing infrastructure for advanced science and engineering [1]. Considerable progress has since been made on the construction of such an infrastructure (e.g., [2–5]), but the term ‘Grid’ has also been conflated, at least in

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  • In 1994, we outlined our vision for wide-area distributed computing [1]: For over thirty years science fiction writers have spun yarns featuring worldwide networks of interconnected computers that behave as a single entity. Until recently such science fiction fantasies have been just that. Technological changes are now occurring which may expand computational power in the same way that the invention of desktop calculators and personal computers did

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  • A modern computer system that's not part of a network is even more of an anomaly today than it was when we published the first edition of this book in 1991. But however widespread networks have become, managing a network and getting it to perform well can still be a problem. Managing NFS and NIS, in a new edition based on Solaris 8, is a guide to two tools that are absolutely essential to distributed computing environments: the Network Filesystem (NFS) and the Network Information System (formerly called the "yellow pages" or YP).The Network Filesystem, developed by Sun Microsystems, is...

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  • For over four years, the largest computing systems in the world have been based on ‘distributed computing’, the assembly of large numbers of PCs over the Internet. These ‘Grid’ systems sustain multiple teraflops continuously by aggregating hundreds of thousands to millions of machines, and demonstrate the utility of such resources for solving a surprisingly wide range of large-scale computational problems in data mining, molecular interaction, financial modeling, and so on.

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  • Learn from legendary Japanese Ruby hacker Masatoshi Seki in this first English-language book on his own Distributed Ruby library. You’ll find out about distributed computing, advanced Ruby concepts and techniques, and the philosophy of the Ruby way—-straight from the source.

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  • Computational Grids [1] have emerged as a distributed computing infrastructure for providing pervasive, ubiquitous access to a diverse set of resources ranging from highperformance computers (HPC), tertiary storage systems, large-scale visualization systems, expensive and unique instruments including telescopes and accelerators. One of the primary motivations for building Grids is to enable large-scale scientific research projects to better utilize distributed, heterogeneous resources to solve a particular problem or set of problems....

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  • The fundamental value proposition of computer systems has long been their potential to automate well-defined repetitive tasks. With the advent of distributed computing, the Internet and World Wide Web (WWW) technologies in particular, the focus has been broadened. Increasingly, computer systems are seen as enabling tools for effective long distance communication and collaboration. Colleagues (and programs) with shared interests can work better together, with less respect paid to the physical location of themselves and the required devices and machinery....

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  • Over the past few years, various international groups have initiated research in the area of parallel and distributed computing in order to provide scientists with new programming methodologies that are required by state-of-the-art scientific application domains. These methodologies target collaborative, multidisciplinary, interactive, and large-scale applications that access a variety of high-end resources shared with others.

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  • Computational Grid technologies hold the promise of providing global scale distributed computing for scientific applications. The goal of projects such as Globus [1], Legion [2], Condor [3], and others is to provide some portion of the infrastructure needed to support ubiquitous, geographically distributed computing [4, 5].

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  • This book presents the first integrated, single-source reference on market-oriented grid and utility computing. Divided into four main parts—and with contributions from a panel of experts in the field—it systematically and carefully explores: Foundations—presents the fundamental concepts of market-oriented computing and the issues and challenges in allocating resources in a decentralized computing environment.

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  • We propose a set of open-source software modules to perform structured Perceptron Training, Prediction and Evaluation within the Hadoop framework. Apache Hadoop is a freely available environment for running distributed applications on a computer cluster. The software is designed within the Map-Reduce paradigm. Thanks to distributed computing, the proposed software reduces substantially execution times while handling huge data-sets. The distributed Perceptron training algorithm preserves convergence properties, thus guaranties same accuracy performances as the serial Perceptron. ...

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  • Lecture 20: Distributed computing (Broker and middleware). The main contents of this chapter include all of the following: Middleware, broker design pattern, java remote method invocation (RMI).

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  • ALinux distribution is basically the sum of the things that you need to run Linux on your com- puter. There are many different Linux distributions, each with their own target audience, set of features, administrative tools, and fan club, the latter of which is more properly known as a user community. Putting aside the downright fanatics, most of the members of the user community for any Linux distribution are people who just happen to find themselves using a distribution for one reason or another.

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