(1 Xi′an Aeronautics Computing Technique Research Institute，AVIC，Xi′an 710068，China;2 Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer，Xi′an 710065，China)
Abstract： In the embedded equipment system, big data as a strategic asset plays an increasingly prominent role in the acquisition of advantages and improvement of efficiency. However, the lack of effective utilization and deep integration of multi-source heterogeneous and geographically dispersed big data makes it difficult to meet the needs of applications transitioning towards intelligence and collaboration. Therefore, guided by the sharing and utilization of big data in embedded system, this paper processes data into a product or service capability to meet the needs of different applications for data service sharing in embedded equipment system, based on edge computing and caching technology. This paper explores the feasibility of distributed data service sharing technology from three aspects: data service sharing architecture, data service management and scheduling method, and data service sharing method, in order to meet the key requirements of embedded equipment system digitization in data intelligence, data collaboration, and decision support. Through the development and utilization of big data, it promotes the upgrading and updating of intelligent applications.
Key words : data service; service sharing; metadata management; edge caching; distributed data
