Tao CHEN, Meng LU, HENYanming C. Research on operators' big data technologies and applications[J]. Telecommunications science, 2017, 33(1): 130-134.
DOI:
Tao CHEN, Meng LU, HENYanming C. Research on operators' big data technologies and applications[J]. Telecommunications science, 2017, 33(1): 130-134. DOI: 10.11959/j.issn.1000-0801.2017002.
Research on operators' big data technologies and applications
The rapid development of big data technology provides fast mass data processing method for operators' traditional businesses
such as network planning and optimization
but also laid the data foundation for new businesses
such as credit
personalized recommendations
internet services.It is important to the development of the industry.The big data processing cutting-edge technology was studied
relative engineering experience and key issues were introduced
reference for other researcher was provided.
关键词
Keywords
references
GARCIA H , LUDU A . The Google file system [J ] . ACM Sigops Operating Systems Review , 2003 , 37 ( 5 ): 29 - 43 .
CHANG F , DEAN J , GHEMAWAT S , et al . Bigtable:a distributed storage system for structured data [C]//Usenix Symposium on Operating Systems Design and Implementation , November 6 - 8 , 2006 , Seattle,USA . New Jersey : IEEE Press , 2006 : 15 .
CORBETT J C , DEAN J , EPSTEI N , et al . Spanner:Google's globally-distributed database [J ] . ACM Transactions on Computer Systems , 2013 , 31 ( 3 ): 251 - 264 .
SHUTE J , VINGRALEK R , SAMWEL B , et al . F1:a distributed SQL database that scales [J ] . VLDB Endowment , 2013 , 6 ( 11 ): 1068 - 1079 .
LUO L , LIU Y , QIAN D P . Survey on in-memory computing technology [J ] . Journal of Software , 2016 , 27 ( 8 ): 2147 - 2167 .
BU Y , HOWE B , BALAZINSKA M , et al . HaLoop:efficient iterative data processing on large clusters [J ] . VLDB Endowment , 2010 , 3 ( 1-2 ): 285 - 296 .
CHEN Y X , GU J Y , WANG L , et al . Personal credit rating based on big data of China Unicom [J ] . Information and Communications Technologies , 2015 ( 6 ): 36 - 41 .