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.
Towards Self-Adaptive Peer-To-Peer Monitoring for Fog Environments
2022-01-01
Conference paper
Electronic Resource
English
DDC: | 629 |
Cheating Prevention in Peer-to-Peer-based Massively Multiuser Virtual Environments
BASE | 2013
|Towards Data-Adaptive and User-Adaptive Image Retrieval by Peer Indexing
British Library Online Contents | 2004
|Self-organizing mobile peer-to-peer mesh network authentication
European Patent Office | 2021
|SELF-ORGANIZING MOBILE PEER-TO-PEER MESH NETWORK AUTHENTICATION
European Patent Office | 2019
|The value of adaptive menu sizes in peer-to-peer platforms
Elsevier | 2022
|