A Collaborative Design System of Distributed Computing Mode Based on Node Adaptive Algorithm

Abstract

An adaptive algorithm is relatively rare in the field of collaborative design systems for distributed computing models. Therefore, the existing adaptive algorithms may not be able to satisfy this systematic study in practical applications. However, as an important branch of adaptive filtering algorithms, adaptive algorithms in distributed systems have received more and more attention in recent years. The research purpose of this paper is a distributed computing mode collaborative design system under the node adaptive algorithm. In the experiment, the distributed framework Spark is constructed, and the collaborative filtering recommendation algorithm is used to investigate and analyze the user's movie tag preference and the operation time of distributed computing in the system. Combining the distributed computing model recommendation system with the collaborative design system has become an innovative point of the research.