Research On Mass Storage And Access Technology In Virtual Observatory

In recent years, as the development of observation equipment and technique, astronomical data has showed explosive growth, and rapid development of computer network has provided strong technical support to share massive astronomical data, thus "Virtual Observatory" which integrates astronomy and computer technology emerges as the times require, which makes breaking through restriction of time and space to access a wealth of astronomical data resources possible.However, in the Virtual Observatory environment, how to conduct mass data storage effectively has become a serious problem. In addition, how to access massive data quickly and efficiently is an important issue related to the service ability of Virtual Observatory.This paper researches on massive astronomical data storage and efficient access technology, based on China-VO project. First, based on analysis and comparasion of popular storage techniques, in combination of massive data storage requirements of Virtual Observatory, storage scheme of China-VO is proposed, with evaluation. Then, in according to the characteristics of astronomical data storage, current existing astronomical data access technology is analyzed and effective access scheme of massive astronomical data is introduced and discussed in detail, with verification of its feasibility. On this basis, massive astronomical data layer model adapted to the scheme is introduced. Finally, on the basis of study on storage and efficient access of massive astronomical data, FitHAS, an astronomical data storage management system, is designed and implemented, which is capable of shielding differences between FITS documents and providing a uniform interface to user, as well as efficiently accessing and conveniently managing large number of FITS files.With some theoretical innovation, the achievements of this paper has been applied in the construction of China-VO. Actual results prove that the storage and efficient accessing scheme presented in this paper, as well as the FitHAS system achieved on this basis, can effectively meet the China-VO requirement for massive data storage and access, while gaining strong scalability.