which have a wide range of applications and great of values
is big data in real sense.In order to serve the real-time marketing scenarios better
the real-time processing and analysis ability of signaling data must be improved effectively.Firstly
the scheme of signaling collection and processing based on FKS was introduced
which combined the advantages of components such as Flume
Kafka and Spark Streaming
and played an important supporting role for operators to build real-time decision center.Furthermore
the Kafka monitoring program for topic consumption of consumer groups was proposed
which provided effective means for warning faults of real-time flow collection.The monitoring solution could effectively reduce the message queue congestion
avoid the risk of data loss
and also could obtain good application effects in practice.
XU J J , ZHENG K , CHI M M , et al . Trajectory big data:data,applications and techniques [J ] . Journal on Communications , 2015 , 36 ( 12 ): 97 - 105 .
LU G , WANG Z , OU H H , et al . Design and analysis of telecom service platform reconstruction based on open source software [J ] . Telecommunications Science , 2017 , 33 ( 5 ): 99 - 105 .
LIU B T , WANG D , YE X C , et al . The data-flow block based spatial instruction scheduling method [J ] . Journal of Computer Research and Development , 2017 , 54 ( 4 ): 750 - 763 .
JIANG Z A , WANG M , CHEN Y . Path recommendation based on geographic coordinates and trajectory data [J ] . Journal on Communications , 2017 , 38 ( 5 ): 165 - 171 .
TANG Y F , WEI J W , ZHANG Y Y . Research on big data based signaling monitoring platform [J ] . Designing Techniques of Posts and Telecommunications , 2014 ( 7 ): 47 - 52 .
MENG H T , YU S P , LIU F , et al . Research on memory management and cache replacement policies in spark [J ] . Computer Science , 2017 , 44 ( 6 ): 31 - 35 .