Paper Info
Title
Rule based lightweight approach for resources monitoring on IoT Edge devices
Abstract
Edge computing is a recent tendency in the IoT domain that contributes to reduce the reliance on Cloud. This is due to the cost efficiency and the improvement of the system responsivity since services are deployed close to the data source as well as actuator nodes. However, IoT services are created on the top of a diverse and heterogeneous stack of technologies in terms of their representative hardware components. Thus, leading to some kind of barrier to accomplish system interoperability. To mitigate this heterogeneity issue, lightweight virtualization techniques such as containers have been widely adopted for IoT service deployment. However, edge devices (e.g., gateway devices) are likely to be resource-constrained, which in some cases limits their abilities to support the deployment of multiple containers. In fact, this raises the need for an effective management of resources at the edge devices. To achieve that, tools for monitoring resources consumption of container based IoT systems at the network edge level, and to launch notifications in case of any change that requires intervention are of utmost necessity. However, the current efficient monitoring tools are greedy for computing and storage resources; especially when a considerable number of IoT microservices are needed to be deployed on the same gateway. Therefore, they do not meet the constraint of limited resources when scalability is required. This work proposes a lightweight rule-based monitoring approach, taking into consideration resources needed for the monitoring process, especially with the increased number of containers deployed on IoT gateways. Our evaluation shows a significant reduction in the communication of monitoring metrics.
Year
DOI
Venue
2019
10.1145/3366615.3368358
Proceedings of the 5th International Workshop on Container Technologies and Container Clouds
Keywords
Field
DocType
Cluster, Container, Edge computing, Resource monitoring, Rule
Rule-based system,Computer science,Internet of Things,Edge device,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-7033-2
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Ahmed Bali100.34
abdelouahed gherbi215124.82