A task-oriented computing service sharing model and its application to talent training and management

Abstract

The complexity of human-centered computing systems demands novel computing models that are capable of integrating various processes or algorithms into a working system with high scalability, which requires a transparent distributed architecture. This paper presents a task-oriented computing share model for the generalization of different processes, which provides a Quality of Service strategy for selecting a suitable computing resource. This model allows a system to be extended to specific applications without any consideration for common low-layer data processing. We also provide a methodology for designing an application related to talent training and management.