The Use of Efficient Broadcast Protocols in Asynchronous Distributed Systems

Abstract

Reliable Broadcast protocols are important tools in distributed and fault-tolerant programming. They are useful for sharing information and for maintaining replicated data in a distributed system. However, a wide range of such protocols has been proposed. These protocols differ in their fault tolerance and delivery ordering characteristics. There is a tradeoff between the cost of a broadcast protocol and how much ordering it provides. It is, therefore, desirable to employ protocols that support only a low degree of ordering whenever possible. This dissertation presents techniques for deciding how strongly ordered a protocol is necessary to solve a given application problem. We show that there are two distinct classes of application problems: problems that can be solved with efficient, asynchronous protocols, and problems that require global ordering. We introduce the concept of a linearization function that maps partially ordered sets of event to totally ordered histories. We show how to construct an asynchronous implementation that solves a given problem if a linearization function for it can be found. We prove that in general the question of whether a problem has an asynchronous solution is undecidable. Hence there exists no general algorithm that would automatically construct a suitable linearization function for a given problem. Therefore, we consider an important subclass of problems that have certain commutativity properties. We present techniques for cons tructing asynchronous implementations for this class.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1988
Accession Number
ADA197810

Entities

People

  • Frank B. Schmuck

Organizations

  • Cornell University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Application Software
  • Asynchronous Systems
  • Automata
  • Communication Networks
  • Computer Networks
  • Computer Programming
  • Computer Science
  • Computers
  • Damage Detection
  • Data Links
  • Failure Mode And Effect Analysis
  • Fault Tolerance
  • Information Processing
  • Notation
  • Reliability
  • Theses

Fields of Study

  • Computer science

Readers

  • Computer Networking
  • Mathematical Modeling and Probability Theory.
  • Operations Research