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Elements of Distributed Computing, by Vijay K. Garg
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A lucid and up-to-date introduction to the fundamentals of distributed computing systems
As distributed systems become increasingly available, the need for a fundamental discussion of the subject has grown. Designed for first-year graduate students and advanced undergraduates as well as practicing computer engineers seeking a solid grounding in the subject, this well-organized text covers the fundamental concepts in distributed computing systems such as time, state, simultaneity, order, knowledge, failure, and agreement in distributed systems.
Departing from the focus on shared memory and synchronous systems commonly taken by other texts, this is the first useful reference based on an asynchronous model of distributed computing, the most widely used in academia and industry. The emphasis of the book is on developing general mechanisms that can be applied to a variety of problems. Its examples-clocks, locks, cameras, sensors, controllers, slicers, and synchronizers-have been carefully chosen so that they are fundamental and yet useful in practical contexts.
The text's advantages include:
- Emphasizes general mechanisms that can be applied to a variety of problems
- Uses a simple induction-based technique to prove correctness of all algorithms
- Includes a variety of exercises at the end of each chapter
- Contains material that has been extensively class tested
- Gives instructor flexibility in choosing appropriate balance between practice and theory of distributed computing
- Sales Rank: #1965157 in Books
- Published on: 2002-05-23
- Original language: English
- Number of items: 1
- Dimensions: 9.70" h x .99" w x 6.36" l, 1.59 pounds
- Binding: Hardcover
- 448 pages
From the Back Cover
A lucid and up-to-date introduction to the fundamentals of distributed computing systems
As distributed systems become increasingly available, the need for a fundamental discussion of the subject has grown. Designed for first-year graduate students and advanced undergraduates as well as practicing computer engineers seeking a solid grounding in the subject, this well-organized text covers the fundamental concepts in distributed computing systems such as time, state, simultaneity, order, knowledge, failure, and agreement in distributed systems.
Departing from the focus on shared memory and synchronous systems commonly taken by other texts, this is the first useful reference based on an asynchronous model of distributed computing, the most widely used in academia and industry. The emphasis of the book is on developing general mechanisms that can be applied to a variety of problems. Its examples-clocks, locks, cameras, sensors, controllers, slicers, and synchronizers-have been carefully chosen so that they are fundamental and yet useful in practical contexts.
The text's advantages include:
* Emphasizes general mechanisms that can be applied to a variety of problems
* Uses a simple induction-based technique to prove correctness of all algorithms
* Includes a variety of exercises at the end of each chapter
* Contains material that has been extensively class tested
* Gives instructor flexibility in choosing appropriate balance between practice and theory of distributed computing
About the Author
VIJAY K. GARG, PhD, is a professor in the Electrical and Computer Engineering Department at the University of Texas at Austin and a leading researcher in distributed computing systems..
Most helpful customer reviews
3 of 3 people found the following review helpful.
Best book on the topic - wished it covered Paxos explicitly as well
By RKL
This is best book I've found on the topic. However, best does not mean perfect. Where it falls short is in bringing some of the concepts together with what is widely in use today. A good example is Paxos and its various flavors. Sure, the topics are covered, but it would've helped to have a chapter or two on how actual frameworks like Paxos, byzantine Paxos, etc., implement the concepts. At a simpler level, the vector clock presentation given is a clumsier variant than what's on Wikipedia! While that may be to facilitate leading into matrix clocks, the variant on Wiki is more practical to implement and I would've preferred the proofs to be based on that instead.
But this entire area, though very relevant, seems to be lacking in good, current texts. From the lot, this is the best. Doesn't mean it's great, but I would call it at least one notch above good. Definitely prefer it over Lynch, which covers more material (including some shared memory concurrent stuff, though that's better covered by texts dedicated to it) -- too much so.
1 of 1 people found the following review helpful.
Five Stars
By Anon
Excellent. Many short chapters; theoretical but not too proof heavy. Better than Lynch's book for most people
20 of 21 people found the following review helpful.
Nice book
By The Dragon
This is one of the best books on distributed computing I have read. Distributed algorithms by Tel comes next. This book is elegantly simple in description. It covers a broad range of topics (including new stuff like Slicing) (at least it had everything I wanted and more. The chapters are small and the author says they are equivalent to one classroom lecture, which makes for easy reading. The algorithms are all pseudo code (I like the style) though unfortunately there is no real code (though I found the actual Java code on the author's site). The approach is might be a bit too formal for some people though it was exactly what I was looking for.
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