Towards Self-Adaptive Peer-to-Peer Monitoring for Fog Environments

Monitoring is a critical component in fog environments: it promptly provides insights about the behavior of systems, reveals Service Level Agreements (SLAs) violations, enables the autonomous orchestration of services and platforms, calls for the intervention of operators, and triggers self-healing...

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Bibliographic Details
Published inarXiv.org
Main Authors Colombo, Vera, Tundo, Alessandro, Ciavotta, Michele, Mariani, Leonardo
Format Paper Journal Article
LanguageEnglish
Published Ithaca Cornell University Library, arXiv.org 09.05.2022
Subjects
Computer Science - Systems and Control
Critical components
Expert systems
Heterogeneity
Monitoring
Platforms
Power consumption
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Summary:Monitoring is a critical component in fog environments: it promptly provides insights about the behavior of systems, reveals Service Level Agreements (SLAs) violations, enables the autonomous orchestration of services and platforms, calls for the intervention of operators, and triggers self-healing actions. In such environments, monitoring solutions have to cope with the heterogeneity of the devices and platforms present in the Fog, the limited resources available at the edge of the network, and the high dynamism of the whole Cloud-to-Thing continuum. This paper addresses the challenge of accurately and efficiently monitoring the Fog with a self-adaptive peer-to-peer (P2P) monitoring solution that can opportunistically adjust its behavior according to the collected data exploiting a lightweight rule-based expert system. Empirical results show that adaptation can improve monitoring accuracy, while reducing network and power consumption at the cost of higher memory consumption.
ISSN:2331-8422
DOI:10.48550/arxiv.2205.04142