Towards a control-as-a-service architecture for smart environments

Bezerra, Diego de Freitas; Medeiros, Victor Wanderley Costa de; Gonçalves, Glauco Estácio

doi:10.1016/j.simpat.2020.102194

Cited by 8 publications

(1 citation statement)

References 44 publications

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“…Usually, the runtime monitor includes a rule-based complex event processor [10]- [13]. The rules evolve automatically based on the data (events) collected during the execution according to the concept of observability [14], [15]. In this case, rule evolution is based on meta-rules [16], enriched and enacted through events generated and aggregated at runtime.…”

Section: A On the Monitoringmentioning

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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