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A probabilistic model for quantifying the resilience of networked systems

journal contribution
posted on 2023-05-18, 02:41 authored by Queiroz, C, Saurabh GargSaurabh Garg, Tari, Z
Resilience is an important aspect of computing systems. Previous work on resilience has often focused on the design and architectural aspects of such systems, and not on the quantification of resilience. In addition, quantification is often restricted to a limited portion of the system. In networked systems, where multiple heterogeneous components interact in a complex manner, resilience quantification becomes a nontrivial problem. This paper proposes a model for quantifying resilience on the basis of the interdependencies of services and their adaptation. It combines performance and adaptability metrics to compute resilience of individual services that are then applied to a Markov network that computes the overall system resilience. The adaptation metric, here called adaptivity, computes how often the service adapts and evaluates the efficiency of such adaptations in terms of performance improvement. This paper also presents an evaluation that considers critical infrastructure systems.

History

Publication title

IBM Journal of Research and Development

Volume

57

Issue

5

Pagination

3:1-3:9

ISSN

2151-8556

Department/School

School of Information and Communication Technology

Publisher

IBM Corp

Place of publication

1 New Orchard Road, Armonk, USA, Ny, 10504

Rights statement

Copyright 2013 by International Business Machines Corporation

Repository Status

  • Restricted

Socio-economic Objectives

Information systems, technologies and services not elsewhere classified

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