Customer Reviews

Building Clustered Linux Systems

5 star:		(10)
4 star:		(2)
3 star:		(0)
2 star:		(0)
1 star:		(2)

 

 

This book is a very straightforward, clearly written and valuable introduction to Linux clustering. Geared toward system folks, it also provides numerous `on-ramps' into the basics of clustering to accommodate quick, relevant review of supporting technology for the reader. It is essentially a map for getting from start to finish in any Linux cluster project. Specific situations, conditions, and expectations differ across projects, of course, and such points are identified well in the text with pointers to additional information provided.

Scientific computing (HPC) is addressed well, and is more of the topic than any other cluster flavor, though the others are discussed as well (after all, who wouldn't want a side order of high availability with their HPC?). My cluster background personally was mostly high availability (Microsoft Wolfpack), so I appreciated the HPC overview, especially since I was already building a Linux cluster for my bio-algorithms that depended on HPC. This book helped me get every gflop out of my admittedly 2ndhand student hardware.

If you are getting involved with a cluster project or have one potentially on the horizon, and need a clear overview of what may lay ahead, pick up this book. For its measly sticker price, you get two solid discussion weeks with an expert. Go calculate that one:)
5 stars

I'm a sr software engineer who deployed to server farms and occasionally writes parallelized software for deployment to our linux cluster. While reaching depths of detail even beyond my interest or understanding, Lucke explains very clearly how clusters work, how they should be designed and tuned, and why this is a compelling architecture for a wide variety of computing problems. The book covers hardware, software, networking, NFS issues, data and system security and management - even the business/economic implications and the physical heat limits of various installations.

The most comprehensive, accurate and accessible book on linux clusters.

This book addresses Linux clusters in an extremely thorough fashion. There is an excellent history and description of the problem to arrive at the definition of a "Linux cluster". The different types of clusters (high performance, throughput, availability) are well described so you know what the goal is of the cluster you will be working on. There are well-defined objectives at the start of each chapter. I also found the transition from theoretical to practical to be very good. I am impressed with this book.

The book describes in simple reproducable steps how to build a medium to medium big sized cluster. It also devides the clusters into the three main types,

HPC *High performance computing,
High Throughput and
High Availability cluster

and describes their usages. The book is describing cluster projects more from a bird view and gives a whole sight overview including budget calculations, comparing several architectures also by their technology and environmental conditions (Power usage, Cooling requirements etc.).

The book is not only hard to beat but also the perfect companion to the Linux Enterprise Cluster from Karl Kopper. While Karls book is a bit more practical it concentrates only on the technical configuration of "small" clusters.

Here is where Lubke comes in and extends that knowledge by the many environmental factors *Budget, technical considerations, Calculations, Estimates, Planning what to expect from your hardware *Performance, Weight, Heat, Flooring considerations etc.

After you read the book, you will have learned all necessary steps to build your own clusters. The "only" thing left to you is to put the ship to water ;-)

An incredible book and a real eye opener !!

Cluster supercomputers became originated when NASA had a need for another supercomputer but no budge to buy one. The particular tasks that they needed to perform tended to have a lot of parallelism. That is, they could benefit by having a bunch of systems work on small tasks and then bring the results together. An example of an ideal parallel application is provessing seismic data. Basically you have the signals to process from a bunch of sensors and each data stream is independent of the other until the end of the process. An example of a non-parallel system is inventory. When you are increasing or decreasing inventory, you only have one bin of this part, and two CPU's better not sell the same part twice.

Anyway Don Becker and some others proposed using a cluster of PC's to handle the tasks. They wrote a software package called Beowulf to run under Linux. Linus had two real advantages: stability and cost. It's much more stable than Microsoft systems and it's free. This, as is often the case in the computer biz, started a landslide.

This book is the most complete I've read on how to build a cluster. It goes extensively into every aspect. It talks about the architecture of the various CPU's in use (Itanium, Xeron, Opteron), high speed interconnection systems (Myricom, Infiniband, Dolphin, Quadrics), available software (Suse, Red Hat, management systems) -- in short everything you need to get the system up and running.

If you're new to clustering, here is an integrated, step by step approach to getting the system up. Of course you'll need more books later (FORTRAN, Message Passing Interface, etc.) but this is the place to start.

This book provides an exhaustive step-by-step examination of all of the elements that need to be considered for architecting a Linux cluster. The coverage is application neutral: High Performance Computing (HPC), Web load-balancing clusters, Enterprise computing centers; no matter. The details common to all clusters are thoroughly discussed.
As a Linux cluster developer of 7 years, I was able to expand and improve my own design processes to better cover all of the issues necessary to architect my designs. I heartily recommended this book to anyone designing a cluster of any size.

Having done Linux for a number of years with single servers I was looking for a resource that would explain clustering in great detail as well as deal with things like environment, support systems, and applications. This book does this in tremendous detail. It's nice to get a single resource that covers all the things you want to know about.

I bought this book because I started thinking of building a cluster in my basement just to experiment with parallel programming. Over the past few weeks reading and rereading sections of the book I've developed the confidence to get started. This won't be the only book I'll need. The author is very clear and unapologetic about that. I still need a good book on Linux and programming with MPI. I don't know everything I'll need to know, but I know far more about what I DON'T know and what other work I need to do.

All in all an excellent and very readable overview.

very good service on the delivery. The book seems complete and useful for the work I undertake. Many pictures and diagrams to explain concepts.

This book is very well organized, gets right to the point, has some dry humor (a tradition in technical books) but its not overdone (overdoing it is also a tradition). You really couldn't ask for more. The thing I like most about this book, is the author is very direct. I have some experience with the publishing industry, and authors are *PAID BY THE PAGE*. Which gives them a tremendous incentive to dilute the material into unreadable crap. This author avoids this and deserves the highest praise for doing so.