GSM-R中跨SGSN更新时源SGSN域名解析数据的智能生成方案设计

源SGSN域名解析数据是GSM-R网络编号方案数据中重要的需跨局制作的一类数据。由RAI编码构造生成,在跨SGSN路由区更新时,存储于DNS中,以解析源SGSN的IP地址。全路400多条G网线路,错综复杂的基站引用关系,导致数据复杂多样。针对该情况,利用聚类分析和关联规则分析算法,研究源SGSN解析数据的智能生成方案,提高数据的全面性、准确性,从而有效保障GSM-R分组域应用业务的正常运转。

Design of Intelligent Generation Scheme of Resolution Data of Source SGSN Domain Name in cross SGSN Updating of GSM-R

Resolution data of source SGSN domain name is an important kind of data which needs to be produced across bureaus in GSM-R network numbering scheme. It is constructed by RAI encoding and stored in DNS when updating across the SGSN routing area, to resolve IP address of source SGSN. There are more than 400 network G lines and complex base station reference relationships, which lead to complex and diverse data. In view of this situation, this paper uses clustering analysis and association rule analysis algorithm to study intelligent generation scheme of source SGSN resolution data, which improves the comprehensiveness and accuracy of data, thus effectively guaranteeing the normal operation of GSM-R packet domain application business.