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.

Colombo, V., Tundo, A., Ciavotta, M., Mariani, L. (2022). Towards Self-Adaptive Peer-To-Peer Monitoring for Fog Environments. In Proceedings - 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022 (pp.156-166). New York : Association for Computing Machinery [10.1145/3524844.3528055].

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

Tundo A.
Co-primo
;
Ciavotta M.
Secondo
;
Mariani L.
Ultimo
2022

Abstract

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.
No
paper
Scientifica
fog computing; monitoring; peer-To-peer; self-Adaptive;
English
17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022 - 18 May 2022 through 20 May 2022
9781450393058
Colombo, V., Tundo, A., Ciavotta, M., Mariani, L. (2022). Towards Self-Adaptive Peer-To-Peer Monitoring for Fog Environments. In Proceedings - 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems, SEAMS 2022 (pp.156-166). New York : Association for Computing Machinery [10.1145/3524844.3528055].
Colombo, V; Tundo, A; Ciavotta, M; Mariani, L
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Descrizione: Research Article - SEAMS '22: Proceedings of the 17th Symposium on Software Engineering for Adaptive and Self-Managing Systems
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10281/391428
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