Edge computing task scheduling method based on user's social relations: a construction and solution for Smart City Library.

ABSTRACT: In the realm of the development of a Smart City Library, the integration of robust edge computing is vital. The research suggests a novel task-scheduling model for edge computing, leveraging user's social relationships. Analyzing these connections involves constructing a user's social relationship graph by implementing mathematical convolution and the Jaccard similarity ratio. This precise quantification of social ties ensures secure and reliable task scheduling. An equipment connection graph of a user equipment service is also crafted based on Euclidean distance, aligning task scheduling with device-to-device (D2D) communication conditions. Combining a user's social relationship graph and a user's device-service device connection graph creates a task-device bipartite graph. On the other h

SUBMITTER: Teng Y 

PROVIDER: S-EPMC11622948 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature