Wow! eBook – Blog

Book Description

The emergence of the cloud and modern, fast corporate networks demands that you perform judicious balancing of computational loads. Practical Load Balancing presents an entire analytical framework to increase performance not just of one machine, but of your entire infrastructure.

Practical Load Balancing starts by introducing key concepts and the tools you’ll need to tackle your load-balancing issues. You’ll travel through the IP layers and learn how they can create increased network traffic for you. You’ll see how to account for persistence and state, and how you can judge the performance of scheduling algorithms.

You’ll then learn how to avoid performance degradation and any risk of the sudden disappearance of a service on a server. If you’re concerned with running your load balancer for an entire network, you’ll find out how to set up your network topography, and condense each topographical variety into recipes that will serve you in different situations. You’ll also learn about individual servers, and load balancers that can perform cookie insertion or improve your SSL throughput.

You’ll also explore load balancing in the modern context of the cloud. While load balancers need to be configured for high availability once the conditions on the network have been created, modern load balancing has found its way into the cloud, where good balancing is vital for the very functioning of the cloud, and where IPv6 is becoming ever more important.

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Book Description

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.

dRuby has been part of the Ruby standard library for more than a decade, yet few know the true power of the gem. Completely written in Ruby, dRuby enables you to communicate between distributed Ruby processes as if there were no boundaries between processes. This is one of the few books that covers distributed and parallel programming for Ruby developers.

The dRuby Book has been completely updated and expanded from its Japanese version, with three new chapters written by Masatoshi-san. You’ll find out about the design concepts of the dRuby library, and walk through step-by-step tutorial examples. By building various distributed applications, you’ll master distributed programming as well as advanced Ruby techniques such as multithreading, object references, garbage collection, and security. Then you’ll graduate to advanced techniques for using dRuby with Masatoshi-san’s other libraries, such as eRuby and Rinda—the Ruby version of the Linda distributed tuplespace system. In the three new chapters, you’ll see how to integrate dRuby and eRuby, get a thorough grounding in parallel programming concepts with Rinda, and create a full text search system using Drip.

Step by step, you’ll gain mastery of dRuby and distributed computing. Download Now »

Book Description

Techniques for Optimizing Multiprocessor Implementations of Signal Processing Applications

An indispensable component of the information age, signal processing is embedded in a variety of consumer devices, including cell phones and digital television, as well as in communication infrastructure, such as media servers and cellular base stations. Multiple programmable processors, along with custom hardware running in parallel, are needed to achieve the computation throughput required of such applications.

Reviews important research in key areas related to the multiprocessor implementation of multimedia systems
Embedded Multiprocessors: Scheduling and Synchronization, Second Edition presents architectures and design methodologies for parallel systems in embedded digital signal processing (DSP) applications. It discusses application modeling techniques for multimedia systems, the incorporation of interprocessor communication costs into multiprocessor scheduling decisions, and a modeling methodology (the synchronization graph) for multiprocessor system performance analysis. The book also applies the synchronization graph model to develop hardware and software optimizations that can significantly reduce the interprocessor communication overhead of a given schedule.

Chronicles recent activity dealing with single-chip multiprocessors and dataflow models
This edition updates the background material on existing embedded multiprocessors Download Now »

Book Description

It’s tough to argue with R as a high-quality, cross-platform, open source statistical software product—unless you’re in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets. You’ll learn the basics of Snow, Multicore, Parallel, and some Hadoop-related tools, including how to find them, how to use them, when they work well, and when they don’t.

With these packages, you can overcome R’s single-threaded nature by spreading work across multiple CPUs, or offloading work to multiple machines to address R’s memory barrier.

• Snow: works well in a traditional cluster environment
• Multicore: popular for multiprocessor and multicore computers
• Parallel: part of the upcoming R 2.14.0 release
• R+Hadoop: provides low-level access to a popular form of cluster computing
• RHIPE: uses Hadoop’s power with R’s language and interactive shell
• Segue: lets you use Elastic MapReduce as a backend for lapply-style operations

Table of Contents
Chapter 1 Getting Started
Chapter 2 snow
Chapter 3 multicore
Chapter 4 parallel
Chapter 5 A Primer on MapReduce and Hadoop Download Now »

Book Description

Spring Batch in Action is an in-depth guide to writing batch applications using Spring Batch. Written for developers who have basic knowledge of Java and the Spring lightweight container, the book provides both a best-practices approach to writing batch jobs and comprehensive coverage of the Spring Batch framework.

Spring Batch in Action is a thorough, in-depth guide to writing efficient batch applications. Starting with the basics, it discusses the best practices of batch jobs along with details of the Spring Batch framework. You’ll learn by working through dozens of practical, reusable examples in key areas like monitoring, tuning, enterprise integration, and automated testing.

No prior batch programming experience is required. Basic knowledge of Java and Spring is assumed.

What’s Inside

• Batch programming from the ground up
• Implementing data components
• Handling errors during batch processing
• Automating tedious tasks

Table of Contents
PART 1 BACKGROUND
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Book Description

Your hands-on, step-by-step guide to the fundamentals of parallel programming

Teach yourself how to help improve application performance by using parallel programming techniques in Visual Studio 2010—one step at a time. Ideal for experienced programmers with little or no parallel programming experience, this tutorial provides practical, learn-by-doing exercises for creating applications that optimize the use of multicore processors.

Discover how to:

• Apply techniques to help increase your application’s speed and efficiency
• Simplify the process of adding parallelism with the Task Parallel Library (TPL)
• Execute several tasks concurrently with various scheduling techniques
• Perform data queries in parallel with PLINQ
• Use concurrent collections in Microsoft .NET Framework 4 for data items
• Extend classes in the TPL to meet the specific requirements of your application
• Perform live debugging of an application with parallel code

About the Author
Donis Marshall has over 20 years of experience in designing and building enterprise software utilizing Microsoft technologies for leading companies across industry segments. He is an endorsed trainer for Microsoft Global Learning Services Download Now »