Title: IoT service distributed management architecture and service discovery method for edge-cloud federation
Authors: Dongju Yang; Weida Zhang; Zhuofeng Zhao
Addresses: Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Shijingshan District, Beijing, China ' Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Shijingshan District, Beijing, China ' Beijing Key Laboratory on Integration and Analysis of Large-scale Stream Data, Data Engineering Institute, North China University of Technology, Shijingshan District, Beijing, China
Abstract: With the continuously increasing number of Internet of Things (IoT) services, the distributed management of IoT services becomes an inevitable trend. Under the framework of IoT edge-cloud federation framework, how to design a suitable distributed management architecture of IoT services, reduce network bandwidth overhead, reduce system latency and support the dynamic perception and rapid discovery of services are the primary problems to be solved. In this paper, the distributed management of IoT services is implemented by constructing layer-ring collaboration architecture on the cloud and edge, the service addressing channel is established on the cloud and edge using master and slave node cluster. The slave node is close to service and is dynamically aware of the service status. At the same time, the master-chord is constructed based on chord protocol among masters to enable the collaborated addressing of multiple master nodes on the cloud. So a strong service routing network on the cloud and edge is established to enable the distributed management of IoT services. This paper focuses on the service registration and discovery methods under this framework, and finally verifies the effectiveness of the method through the highway emergency scenario.
Keywords: IoT service; service discovery; service registration; distributed management architecture; edge-cloud federation.
DOI: 10.1504/IJGUC.2022.125137
International Journal of Grid and Utility Computing, 2022 Vol.13 No.4, pp.376 - 386
Received: 28 Jul 2020
Accepted: 30 Oct 2020
Published online: 31 Aug 2022 *