A Black-box Approach for Containerized Microservice Monitoring in Fog Computing
Abstract
The goal of the Internet of Things (IoT) is to convert the physical world into a smart space in which physical objects, called things, are equipped with computing and communication capabilities. Those things can connect with anything, anyone at any time, any space via any network or service. The predominant Internet of Things (IoT) system model today is cloud centric. This model introduces latencies into the application execution, as data travels first upstream for processing and secondly the results, i.e., control commands, travel downstream to the devices. In contrast with the cloud-model, the cloud-fog-based model pushes computing capability to the edge of the network, which is closer to the data sources. This enables lower latency and a faster response time. The end-device can directly receive the service from the fog node instead of sending all the data to the central cloud server. In addition, with the application of microservice containerization technology, fog nodes can quickly set up various environments for heterogeneous services.
Compared with cloud computing, fog computing needs to consider users’ mobility and geographic location. The application scenarios that fog computing is more dynamic and flexible. Therefore, fog computing requires real-time data monitoring and service management. In this thesis, we will explore how to deploy fog computing resources, what data is needed in the deployment process, and how to implement data monitoring.