Building a CDR analytics platform for real-time services

被引：0

作者：

Shih, Chia-Chun ^{[1
]}

Huang, Chi-Chang ^{[1
]}

Lin, Bo-Ting ^{[1
]}

Huang, Chao-Wen ^{[1
]}

Hu, Wan-Hsun ^{[1
]}

Cheng, Chien-Wei ^{[1
]}

机构：

[1] Chunghwa Telecom Labs, Billing Informat Lab, Taipei, Taiwan

来源：

2014 16TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS) | 2014年

关键词：

Real-time CDR processing; Real-time analytics; Stream computing; In-memory data grid;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Growing real-time services require discovering transient customer needs in CDRs. In this paper, we propose a CDR analytics system architecture for event-based analytics processing in real time. This system is expected to allow marketing staff to inject analytics-based rules to trigger marketing campaigns. We also propose two implementations which are based on off-the-shelf computing tools.

引用

页数：5

共 15 条

[1]

3GPP, 2014, 3GPP TS 29 213 POL C

[2]

3GPP, 2013, 3GPP TS 29 219 POL C

[3]

3GPP, 2014, 3GPP TS 23 203 POL C

[4]

[Anonymous], 2010, IBM REDBOOKS

[5]

[Anonymous], P 7 INT C DIG TEL

[6]

Bain W., 2012, SCALE OUT SOFTWARE

[7]

Goodhope K., 2012, IEEE DATA ENG B, V35, P33

[8] StreamCloud: An Elastic and Scalable Data Streaming System [J].

Gulisano, Vincenzo ;

Jimenez-Peris, Ricardo ;

Patino-Martinez, Marta ;

Soriente, Claudio ;

Valduriez, Patrick .

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2012, 23 (12) :2351-2365

[9]

Ishii A., 2011, Proceedings of the 2011 IEEE 4th International Conference on Cloud Computing (CLOUD 2011), P195, DOI 10.1109/CLOUD.2011.11

[10] Kanthaka: Big Data Caller Detail Record (CDR) Analyzer for Near Real Time Telecom Promotions [J].

Jayawardhana, Pushpalanka ;

Kumara, Ananda ;

Perera, Dhanika ;

Paranawithana, Amila .

FOURTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS, MODELLING AND SIMULATION (ISMS 2013), 2013, :534-538

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