BIECO Runtime Auditing Framework

Calabrò, Antonello; Cioroaica, Emilia; Daoudagh, Said; Marchetti, Eda

doi:10.1007/978-3-030-87872-6_18

Cited by 3 publications

(2 citation statements)

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“…In particular, from the available Runtime Monitoring engine, the Complex Event Processing Monitor Infrastructure CONCERN 2 was selected because it is an open-source, customizable, and generic monitoring proposal. Additionally, its effectiveness and efficiency in monitoring functional and non-functional properties have already been evaluated as appropriate in several specific contexts and application domains (such as [11], [13], [33], [34]). This evidence guarantees that CONCERN could be a good candidate for the MOTEF experimentation.…”

Section: Experimental Evaluationmentioning

confidence: 99%

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures

Calabrò,

Marchetti

2024

IEEE Access

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Context: Intelligent monitoring systems can effectively predict or detect anomalies and issues in smart working systems and ecosystems and implement the proper countermeasures. However, for their effective and efficient use, attributes like responsiveness, performance, and quality should be properly tested and assessed before integrating the monitoring system into an ecosystem. Objective: The work aims to present a framework, called MOnitoring TEsting Framework (MOTEF), focused on the testing and evaluation of a generic monitoring system performance. In particular, the framework allows testing the monitoring system in isolation or when used in a smart environment to provide functional or non-functional property predictions. Method: By simulating the runtime execution of a smart environment, MOTEF lets testing and assessment of a generic monitoring system establish its working boundaries. The results collected can be used to design a smart environment architecture to better fulfill its global performance constraints. Results and Conclusion:This work presents the architecture of MOTEF and its preliminary implementation. It also validated and showcased the use of MOTEF in evaluating the performance of an existing monitoring system in isolation and when it is used in a smart environment. The results have been evaluated considering two research questions about the monitoring system responsiveness and effectiveness in proving required functional or non-functional property predictions.

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Section: Experimental Evaluationmentioning

confidence: 99%

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures

Calabrò,

Marchetti

2024

IEEE Access

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“…This platform is designed to execute asynchronously in order to achieve near-realtime responsiveness and be non-blocking for the microservices. This is especially important given one of the Execution Methodologies (EM) utilized for the System Under Test (SUT), as described by Calabro et al and Daoudagh et al 43,44 . This EM requires real-time live data, which must be analyzed in the context of a Predictive Simulation implemented through a Digital Twin, as also mentioned by Cioroaica et al 45 .…”

Section: Platform Implementation Detailsmentioning

confidence: 99%

Guide in Designing an Asynchronous Performance-Centric Framework for Heterogeneous Microservices in Time-Critical Cybersecurity Applications. The BIECO Use Case

Delinschi

Erdei

Pas

et al. 2023

Preprint

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This article presents the architecture, design and validation of a microservice orchestration approach, that improves the flexibility of heterogeneous microservice-based platforms. Improving user experience and interaction, for time-critical applications are aspects that were primary objectives for the design of the architecture. Each microservice can provide its own embedded user interface component, also decentralizing it and, in consequence, improving the loosely coupled approach to the architecture. Obtained results are promising, with high throughput and low response times. Also, a key finding was the introduction of benchmarking as a new step in the development lifecycle of performance-critical software components, with an example of how it can be applied within an Agile methodology. Further research is proposed to improve the results and raise the final technology readiness level of the system. Obtained results already make the approach a candidate and viable alternative to classical service composers.

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