Linux Clustering: Building and Maintaining Linux Clusters

Linux Clustering: Building and Maintaining Linux Clusters provides Linux users with information about building their own Linux cluster from the ground up. It gives best practices, helpful hints, and guidelines about building one server or hundreds of servers at a level that administrators at any experience level can understand.

From installation of the air conditioning and power in the data center, to alternative file systems to the final production run, this book provides you with everything that you need to know. Linux Clustering: Building and Maintaining Linux Clusters walks you through the initial design and selection of the best possible types of clusters, as well as covering monitoring tools and providing for disaster recovery. Not only does this book provide information on parallel and Beowulf type clusters, Charles Bookman goes into depth on high availability clusters, load balancing, and provides advice for writing your own distributing applications as well. Incorporating best practices and cutting-edge approaches, Bookman provides step-by-step and tried-and-true methods of bringing up a Linux cluster to production level.

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Linux Cluster Architecture (Kaleidoscope)

Linux Cluster Architecture (Kaleidoscope)

Cluster computers provide a low-cost alternative to multiprocessor systems for many applications. Building a cluster computer is within the reach of any computer user with solid C programming skills and a knowledge of operating systems, hardware, and networking. This book leads you through the design and assembly of such a system, and shows you how to mearsure and tune its overall performance. A cluster computer is a multicomputer, a network of node computers running distributed software that makes them work together as a team. Distributed software turns a collection of networked computers into a distributed system. It presents the user with a single-system image and gives the system its personality. Software can turn a network of computers into a transaction processor, a supercomputer, or even a novel design of your own. Some of the techniques used in this book's distributed algorithms might be new to many readers, so several of the chapters are dedicated to such topics. You will learn about the hardware needed to network several PCs, the operating system files that need to be changed to support that network, and the multitasking and the interprocess communications skills needed to put the network to good use. Finally, there is a simple distributed transaction processing application in the book. Readers can experiment with it, customize it, or use it as a basis for something completely different.

About the Author

Alex Vrenios is the founder and principal analyst at the Distributed Systems Research Lab, a technical consulting group specializing in the performance measurement and analysis of distributed computing architectures. He holds a BS and MS in Computer Science, is the author of numerous articles, and is a member of both the ACM and the IEEE. He started his computing career more than 30 years ago, working with communications and data transmission software on mainframe computers. He made the transition to a networked C/UNIX environment, learned about interprocess communications distributed algorithms and cluster computing, and never looked back.

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