Implementation of Distributed Computing with Large-Scale GLASS Data

This paper employs distributed computing，with high performance computing，transmission and storage capabilities，to address the weaknesses of limited station numbers and poor timeliness found in conventional centralized data processing when handling massive GNSS data. We discuss GNSS distributed data processing methods，algorithm designing methods，processing strategies and the usage of existing software. After GNSS data distributed computing experiments，results show that for:1)baseline solutions，speedup reached 6.39 for eight nodes;and 2)network adj ustment，an average speedup reached 3.04 for four nodes.