Guide to Reliable Distributed Systems Free

Author: Kenneth Birman
Edition: 2012
Binding: Hardcover
ISBN: 1447124154

Guide to Reliable Distributed Systems: Building High-Assurance Applications and Cloud-Hosted Services (Texts in Computer Science)

This book describes the key concepts, principles and implementation options for creating high-assurance cloud computing solutions. Get Guide to Reliable Distributed Systems computer books for free.
The guide starts with a broad technical overview and basic introduction to cloud computing, looking at the overall architecture of the cloud, client systems, the modern Internet and cloud computing data centers. It then delves into the core challenges of showing how reliability and fault-tolerance can be abstracted, how the resulting questions can be solved, and how the solutions can be leveraged to create a wide range of practical cloud applications. The author's style is practical, and the guide should be readily understandable without any special background. Concrete examples are often drawn from real-world Check Guide to Reliable Distributed Systems our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.

Guide to Reliable Distributed Systems Free

Concrete examples are often drawn from real-world

Related Computer Books

Introduction to Reliable and Secure Distributed Programming

The scope of this second edition of the introduction to fundamental distributed programming abstractions has been extended to cover 'Byzantine fault tolerance'. It includes algorithms to implement these abstractions in vulnerable distributed syst

The Art of Multiprocessor Programming, Revised Reprint

Revised and updated with improvements conceived in parallel programming courses, The Art of Multiprocessor Programming is an authoritative guide to multicore programming. It introduces a higher level set of software development skills than tha

Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)

Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data.

NoSQL Distilled: A Brief Guide to the Emerging World of Polyglot Persistence

The need to handle increasingly larger data volumes is one factor driving the adoption of a new class of nonrelational "NoSQL" databases. Advocates of NoSQL databases claim they can be used to build systems that are more performant, scale better,