YAN Zhi-min 1, LIU Ren-yi1, LIU Nan1, et al. Multi-servers Clustering of Spatial Data and Realization Strategies in High Performance[J]. Journal of Remote Sensing, 2005,(4):421-428.
YAN Zhi-min 1, LIU Ren-yi1, LIU Nan1, et al. Multi-servers Clustering of Spatial Data and Realization Strategies in High Performance[J]. Journal of Remote Sensing, 2005,(4):421-428. DOI: 10.11834/jrs.20050461.
Analysis for the need that should be resolved in developing new geographic information system more deeper study and analysis for cluster techniques and Oracle Real Application Cluster (RAC) were taken. To meet special requirement for current management of massive spatial data on net
an optimal multi-level PC servers architecture in GIS with clustering techniques was designed to take full advantages of high performance computing
high reliability and other cluster features. Integrated the reliability
scalability
flexibility and other features of RAC with general spatial database management strategies such as spatial index and partition
remote in-line procedures
mutual-backup of two computers and other strategies
a new type of distributed data management techniques such as high spatial locating
multi-caches strategies cluster based were developed. An application with RAC Servers and Oracle9i application servers (iAs) was tested
which showed the high performance of whole spatial database managing platform
such as high usability
load balance
high data downloading and high efficient spatial data query and anlysis.