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Concurrent and Distributed Computing in Java by Vijay K. Garg

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Chapter 14

Synchronizers

14.1 Introduction

The design of distributed algorithms is easier if we assume that the underlying network is synchronous rather than asynchronous. A prime example is that of computing a breadth-first search (BFS) tree in a network. In this chapter, we assume that the network has N nodes, E edges, and its diameter is D. Assume that we are given a distinguished node v and our job is to build a breadth-first search tree rooted at v. A synchronous algorithm for this task is quite simple. We build the tree level by level. The node v is initially at level 0. A node at level i is required to send messages to its neighbors at pulse i. A process that receives one or more of these messages, and does not have a level number assigned yet, chooses the source of one of these messages as its parent and assigns itself level number i + 1. It is clear that if the graph is connected, then every node will have its level number assigned in at most D pulses assuming that any message sent at pulse i is received at pulse i + 1.

What if the underlying network is not synchronous? The corresponding problem on an asynchronous network is more difficult. This motivates methods by which a synchronous network can be simulated by an asynchronous network. We show that, in the absence of failures, this is indeed possible using a mechanism called a synchronizer. To simulate the synchronous algorithm on an asynchronous network, all we need is to use one of the synchronizers discussed in this ...

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