Understanding Self-healing in Service-Discovery Systems

Abstract

Service-discovery systems aim to provide consistent views of distributed components under varying network conditions. To achieve this aim, designers rely upon a variety of self-healing strategies, including: architecture and topology, failure-detection and recovery techniques, and consistency maintenance mechanisms. In previous work, we showed that various combinations of self-healing strategies lead to significant differences in the ability of service-discovery systems to maintain consistency during increasing network failure. Here, we ask whether the contribution of individual self-healing strategies can be quantified. We give results that quantify the effectiveness of selected combinations of architecture-topology and recovery techniques. Our results suggest that it should prove feasible to quantify the ability of individual self-healing strategies to overcome various failures. A full understanding of the interactions among self-healing strategies would provide designers of distributed systems with the knowledge necessary to build the most effective self-healing systems with minimum overhead.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2002
Accession Number
ADA512620

Entities

People

  • C. Dabrowski
  • K. Mills

Organizations

  • National Institute of Standards and Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Application Software
  • Communication Channels
  • Computer Programming
  • Consistency
  • Damage Detection
  • Detection
  • Information Operations
  • Maintenance
  • Military Applications
  • Monitoring
  • Recovery
  • Reliability
  • Specifications
  • Standards
  • Topology

Readers

  • Distributed Systems and Data Platform Development
  • Life Cycle Cost Analysis
  • Systems Analysis and Design