Introduction
Abstract
This book is about the theoretical foundations of concurrency. For us, a distributed system is a collection of sequential computing entities, called processes, that cooperate to solve a problem, called a task. The processes may communicate by message passing, shared memory, or any other mechanism. Each process runs a program that defines how and when it communicates with other processes. Collectively these programs define a distributed algorithm or protocol. It is a challenge to design efficient distributed algorithms in the presence of failures, unpredictable communication, and unpredictable scheduling delays. Understanding when a distributed algorithm exists to solve a task, and why, or how efficient such an algorithm ...
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