区域分片下的分布式空间查询处理与并行调度方法

针对区域分片的数据分布特征,在已有的跨边界连接转化及优化规则的基础上,提出了一种先静态任务分配、后动态任务调整的混合并行调度策略。实验表明,该混合策略有效解决了分布式空间并行查询的负载平衡问题,进一步提高了分布式空间查询的效率。

Distributed Spatial Query Processing and Parallel Schedule Based on Zonal Fragmentation

According to the characteristics of zonal fragmentation and the existing methods of transformation and optimization based on cross-border topological join,we propose a hybrid parallel scheduling strategy with the principle of static and dynamic combination.Firstly,the excutive sites of the fragment joins are determined using the Move Small rule.Secondely,the pre-allocated task queue on each site is reranked on the principle of larger area of FMBR priority.Finally,the fragment join tasks in each queue are redistributed in order to improve load balance by comparing the costs of three typical task sheduling cases.The experimental result shows that this method solves the load-balancing problem in effectively and further improves the performance of distributed spatial query.