Web Services分布式计算在大规模网平差中的应用

摘要

To solve the problem for the current measurement data processing in the computation of large-scale network adjustment, a parallel computing strategy for the massive geodetic network based on the model of parti tioned adjustment is analyzed and quick adjustment solution service programs which are grounded on Web Services ( WS) technology are designed. Combined with efficient numerical parallel computing algorithms and data compres sion algorithms, the adjustment sub-calculating Web services under . NET platform is set up and the validity of the adjustment parallelization is demonstrated by some examples. The results show that the WS technology can significantly improve the efficiency of adjustment calculation and the existing resource utilization.%针对现代测量数据处理过程中面临的大规模网平差解算难题,分析了基于分区平差模型的大规模网平差并行计算策略,设计了基于Web Services(WS)分布式计算技术的快速平差解算服务方案.结合有效的数值并行计算算法和数据压缩算法,在.NET平台下建立平差子计算Web服务,并通过实验验证了平差并行计算方法的有效性,计算结果表明,WS技术能够大幅提高平差计算效率和现有资源利用率.