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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, ZResilience 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 DevelopmentVolume
57Issue
5Pagination
3:1-3:9ISSN
2151-8556Department/School
School of Information and Communication TechnologyPublisher
IBM CorpPlace of publication
1 New Orchard Road, Armonk, USA, Ny, 10504Rights statement
Copyright 2013 by International Business Machines CorporationRepository Status
- Restricted