Development of the Edge Computing Platform with Dynamic Modular Configuration for an IoT Platform We have been developing an edge computing platform that can coordinate with each computing resources of device, edge node and cloud for diversifying data can be modularized and actively deployed in cooperation within the wide area network. With these features, it is possible to flexibly deploy and work modules according to data characteristics and purpose of use and to provide various functions at appropriate network locations. This platform brings transparent processing environment for IoT devices according to a data characteristic or use purpose. This paper describes a dynamic control method for the platform based on multiple sensor information, and show implementation and evaluation by an actual application using camera devices.

Edge Computing Platform Management: Design for F2C and F2F for Small Businesses to Reduce Costs With a focus on edge computing and the cloud, IoT and connected devices require both edge computing platform management for realtime decisions and cloud computing for optimization. From a businessu0027s perspective, this requires further investments in keeping devices updated. Big players in edge computing have proposed new devices and concepts for industries, resulting in the likelihood of increasingly expensive devices going forward. However, small businesses and factories cannot afford such investments. Thus, this paper proposes a simple and lowcost implementation of an edge computing platform for small businesses to automate their business in real time. Furthermore, having the perspective of historical performance enables realtime optimization of the entire business process.