NDLI: Producing synoptic data structure for high speed data streams in telecommunication network management

Content Provider	IEEE Xplore Digital Library
Author	Jiang Guo-quan Deng Bo Zhang Xiao-yi Ding Kun
Copyright Year	2009
Description	Author affiliation: Nanjing Telecommunication Technology Institute, China (Jiang Guo-quan; Deng Bo; Zhang Xiao-yi; Ding Kun)
Abstract	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.
Starting Page	815
Ending Page	818
File Size	615801
Page Count	4
File Format	PDF
ISBN	9781424435203
DOI	10.1109/ICCSE.2009.5228163
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data Streams Telecommmunication Network Management Conference management Data structures Telecommunication network management Computer science Synoptic Data Structure Technology management Databases Clustering algorithms Telephony Computer science education Computer network management
Content Type	Text
Resource Type	Article

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