Producing Synoptic Data Structure for High Speed Data Streams in Telecommunication Network Management

摘要：

In large telecommunication network management system, substantial data containing the information of network traffic, network element status, device running situation and all other messages are continuously sent from each special network management system to the integrated network management system. This kind of data is typically the stream data. Current network management system employs traditional database technology to store and process such kind of data. However, the managed network grows larger and larger over time, and the data cumulates, too. The disadvantages of current technology gradually show up. Stream data usually arrives continuously and is often of high speed and large amount. Thus, a data stream algorithm based on self-adapting sliding window model is proposed here to build synoptic data structure in memory. By this algorithm, network manager is able to get the approximate query result after judging the accuracy requirement and processing ability.

关键词： Data Streams Synoptic Data Structure Telecommmunication Network Management

作者: Jiang Guo-quan Deng Bo Zhang Xiao-yi Ding Kun

作者单位: Nanjing Telecommunication Technology Institute Nanjing, China

会议类型: 国际会议

会议名称: 第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)

会议地点: 南京

会议语种:英文

页码: 815-818

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）