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Content Provider | IEEE Xplore Digital Library |
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Author | Zhengxiang Ke Jun Liu Dazhong He Qing Yan |
Copyright Year | 2013 |
Description | Author affiliation: Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & elecommunications, Beijing, China (Zhengxiang Ke; Jun Liu; Dazhong He; Qing Yan) |
Abstract | Cellular Data Network measurement and analysis has long been used to characterize Cellular Data Network usage and user behaviors, but with the rapid growing of all kinds of smart terminals and the varied applications on them, the amount of Cellular Data Network data has been growing exponentially. With respect to this challenge, a new management system for the data storage and query has been emerging. In this paper, we present our applied Hadoop-based system with Cellular Data Network flow upload and analyze components. It combines data uploading and CDR (Calling Detail Records) query with Map/Reduce framework and HDFS. It uses Map/Reduce framework to process the users' request, HDFS to manage the data flow files. Our system has the ability to upload and for the network manager to query the CDR more conveniently and reliable. More importantly, our system is applied to a real-world and has a good scalability, effectiveness and efficiency. |
Sponsorship | IEEE Beijing Sect. |
Starting Page | 393 |
Ending Page | 397 |
File Size | 271200 |
Page Count | 5 |
File Format | |
ISBN | 9781479900770 |
DOI | 10.1109/ICCT.2013.6820407 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-11-17 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Indexes Reliability Mobile communication Accuracy Cloud computing Computers query Cellular Data Network CDR Map/Reduce Hadoop upload |
Content Type | Text |
Resource Type | Article |
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