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            Breaker: intelligent software circuit breakers for fault-tolerant distributed context-aware applications

Preuveneers, Davy; Joosen, Wouter

doi:10.1007/s40860-017-0037-y

Cited by 5 publications

(1 citation statement)

References 27 publications

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“…In the first paper [12], Preuveneers and Joosen propose the framework called QoC 2 Breaker as a software solution that extends the circuit breaker pattern to further improve the reliability of distributed systems in general, and IE in particular, by adding notions of Quality of Context (QoC) that complement typical techniques used at both analysis and design time, such as formal verification with model checkers. Thereby, context-aware applications offer a greater stability and resilience against different types of faults, and cascading failures through the system can be avoided.…”

Section: Contents Of This Special Issuementioning

confidence: 99%

Application of Software Engineering techniques to improve the reliability of Intelligent Environments

Hornos

2017

J Reliable Intell Environ

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Section: Contents Of This Special Issuementioning

confidence: 99%

Application of Software Engineering techniques to improve the reliability of Intelligent Environments

Hornos

2017

J Reliable Intell Environ

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A declarative approach and benchmark tool for controlled evaluation of microservice resiliency patterns

Aderaldo,

Costa,

Vasconcelos

et al. 2024

Softw Pract Exp

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Microservice developers increasingly use resiliency patterns such as Retry and Circuit Breaker to cope with remote services that are likely to fail. However, there is still little research on how the invocation delays typically introduced by those resiliency patterns may impact application performance under varying workloads and failure scenarios. This article presents a novel approach and benchmark tool for experimentally evaluating the performance impact of existing resiliency patterns in a controlled setting. The main novelty of this approach resides in the ability to declaratively specify and automatically generate multiple testing scenarios involving different resiliency patterns, which one can implement using any programming language and resilience library. The article illustrates the benefits of the proposed approach and tool by reporting on an experimental study of the performance impact of the Retry and Circuit Breaker resiliency patterns in two mainstream programming languages (C# and Java) using two popular resilience libraries (Polly and Resilience4j), under multiple service workloads and failure rates. Our results show that, under low to moderate failure rates, both resiliency patterns effectively reduce the load over the application's target service with barely any impact on the application's performance. However, as the failure rate increases, both patterns significantly degrade the application's performance, with their effect varying depending on the service's workload and the patterns' programming language and resilience library.

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Robust Digital Twin Compositions for Industry 4.0 Smart Manufacturing Systems

Preuveneers

Joosen

Ilie‐Zudor

2018

2018 IEEE 22nd International Enterprise Distributed Object Computing Workshop (EDOCW)

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Industry 4.0 is an emerging business paradigm that is reaping the benefits of enabling technologies driving intelligent systems and environments. By acquiring, processing and acting upon various kinds of relevant context information, smart automated manufacturing systems can make wellinformed decisions to adapt and optimize their production processes at runtime. To manage this complexity, the manufacturing world is proposing the 'Digital Twin' model to represent physical products in the real space and their virtual counterparts in the virtual space, with data connections to tie the virtual and real products together for an augmented view of the manufacturing workflow. The benefits of such representations are simplified process simulations and efficiency optimizations, predictions, early warnings, etc. However, the robustness and fidelity of digital twins are a critical concern, especially when independently developed production systems and corresponding digital twins interfere with one another in a manufacturing workflow and jeopardize the proper behavior of production systems. We therefore evaluate the addition of safeguards to digital twins for smart cyber-physical production systems (CPPS) in an Industry 4.0 manufacturing workflow in the form of feature toggles that are managed at runtime by software circuit breakers. Our evaluation shows how these improvements can increase the robustness of interacting digital twins by avoiding local errors from cascading through the distributed production or manufacturing workflow.

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QoC $$^{2}$$ 2 Breaker: intelligent software circuit breakers for fault-tolerant distributed context-aware applications

Cited by 5 publications

References 27 publications

Application of Software Engineering techniques to improve the reliability of Intelligent Environments

Application of Software Engineering techniques to improve the reliability of Intelligent Environments

A declarative approach and benchmark tool for controlled evaluation of microservice resiliency patterns

Robust Digital Twin Compositions for Industry 4.0 Smart Manufacturing Systems

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