Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations

doi:10.1109/JAS.2019.1911795

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > IEEE/CAA Journal of Automatica Sinica

	Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations
	Hira Zahid; Tariq Mahmood; Ahsan Morshed; Timos Sellis
刊名	IEEE/CAA Journal of Automatica Sinica
	2020
卷号	7 期号:1 页码:18-38
关键词	Big data analytics BDA pipeline BDA technology stack lambda architecture python systematic literature review telecommunications
ISSN号	2329-9266
DOI	10.1109/JAS.2019.1911795
英文摘要	This paper focuses on facilitating state-of-the-art applications of big data analytics (BDA) architectures and infrastructures to telecommunications (telecom) industrial sector. Telecom companies are dealing with terabytes to petabytes of data on a daily basis. IoT applications in telecom are further contributing to this data deluge. Recent advances in BDA have exposed new opportunities to get actionable insights from telecom big data. These benefits and the fast-changing BDA technology landscape make it important to investigate existing BDA applications to telecom sector. For this, we initially determine published research on BDA applications to telecom through a systematic literature review through which we filter 38 articles and categorize them in frameworks, use cases, literature reviews, white papers and experimental validations. We also discuss the benefits and challenges mentioned in these articles. We find that experiments are all proof of concepts (POC) on a severely limited BDA technology stack (as compared to the available technology stack), i.e., we did not find any work focusing on full-fledged BDA implementation in an operational telecom environment. To facilitate these applications at research-level, we propose a state-of-the-art lambda architecture for BDA pipeline implementation (called LambdaTel) based completely on open source BDA technologies and the standard Python language, along with relevant guidelines. We discovered only one research paper which presented a relatively-limited lambda architecture using the proprietary AWS cloud infrastructure. We believe LambdaTel presents a clear roadmap for telecom industry practitioners to implement and enhance BDA applications in their enterprises.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42919]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Hira Zahid,Tariq Mahmood,Ahsan Morshed,et al. Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations[J]. IEEE/CAA Journal of Automatica Sinica,2020,7(1):18-38.
APA	Hira Zahid,Tariq Mahmood,Ahsan Morshed,&Timos Sellis.(2020).Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations.IEEE/CAA Journal of Automatica Sinica,7(1),18-38.
MLA	Hira Zahid,et al."Big Data Analytics in Telecommunications: Literature Review and Architecture Recommendations".IEEE/CAA Journal of Automatica Sinica 7.1(2020):18-38.