Reference architecture and classification of technologies, products and services for big data systems

Research output: Contribution to journalArticleScientificpeer-review

99 Citations (Scopus)

Abstract

Many business cases exploiting big data have been realised in recent years; Twitter, LinkedIn, and Facebook are examples of companies in the social networking domain. Other big data use cases have focused on capturing of value from streaming of movies (Netflix), monitoring of network traffic, or improvement of processes in the manufacturing industry. Also, implementation architectures of the use cases have been published. However, conceptual work integrating the approaches into one coherent reference architecture has been limited. The contribution of this paper is technology independent reference architecture for big data systems, which is based on analysis of published implementation architectures of big data use cases. An additional contribution is classification of related implementation technologies and products/services, which is based on analysis of the published use cases and survey of related work. The reference architecture and associated classification are aimed for facilitating architecture design and selection of technologies or commercial solutions, when constructing big data systems.
Original languageEnglish
Pages (from-to)166-186
JournalBig Data Research
Volume2
Issue number4
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

Fingerprint

Industry
Product technology
Big data
Monitoring
Movies
Manufacturing industries
Business case
Twitter
Technology implementation
Social networking
Facebook

Keywords

  • big data
  • reference architecture
  • classification
  • literature survey

Cite this

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Reference architecture and classification of technologies, products and services for big data systems. / Pääkkönen, Pekka; Pakkala, Daniel.

In: Big Data Research, Vol. 2, No. 4, 2015, p. 166-186.

Research output: Contribution to journalArticleScientificpeer-review

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