The fog-enabled cloud computing has received considerable attention as the fog nodes are deployed
at the network edge to provide low latency. It involves various activities, such as configuration
management, security management, and data management. Monitoring these activities is essential
to improve performance and QoS of fog computing infrastructure. Data collection and aggregation
are the basic tasks in the monitoring process, and these phases consume more communicational
power as the IoT nodes generate a huge amount of redundant data frequently. In this paper, a multiagent-
based data collection and aggregation model is proposed for monitoring fog infrastructure.
The data collection model adopts a hybrid push-pull algorithm that updates the data when a certain
change in new data compared to old data. A tree-based data aggregation model is developed to
reduce communication overhead between fog node and cloud. The experimental results show that
the proposed model improves data coherency and reduces communication overhead compared to
existing data collection and aggregation models.