Big Data Reference Architecture Standards: Analysis and Presenting a Development Road Map

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Arianyan Ehsan; Maleki Davood; MANSOURI ALIREZA

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Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2023 | Issue:9

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Title

Big Data Reference Architecture Standards: Analysis and Presenting a Development Road Map

Author(s)

Arianyan Ehsan | Maleki Davood | MANSOURI ALIREZA

Keywords

Big Data

Standards

Reference Architecture

User Architecture

Functional Architecture

Mapping

Abstract

Due to drastically increasing data and increasing productivity which can be obtained, processing and analyzing Big Data plays a crucial role nowadays. On the other hand, a growing range of standardization organizations has addressed various challenges in the field of Big Data, which are important in design and development of Big Data systems and services. The Big Data Reference Architecture is developed by different standardization institutes including joint technical committee of the International Organization for Standardization (ISO/IEC), the American National Institute of Standards and Technology (NIST), and also the International Telecommunication Union (ITU). The Reference Architecture describes the structure and components of Big Data from different perspectives, including conceptual, user, and functional. This paper addresses the most important related Standards and provides a Mapping of them to the Big Data Reference Architecture, which could be used for various purposes, mainly as a standardization roadmap. This road map could facilitate various activities, including technology-level assessment, testing and comparing capabilities, type approval, and licensing.

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APA: Copy

Arianyan, Ehsan, Maleki, Davood, & MANSOURI, ALIREZA. (). . . SID. https://sid.ir/paper/1046872/en

Vancouver: Copy

Arianyan Ehsan, Maleki Davood, MANSOURI ALIREZA. . . Available from: https://sid.ir/paper/1046872/en

IEEE: Copy

Ehsan Arianyan, Davood Maleki, and ALIREZA MANSOURI, “,” presented at the . , [Online]. Available: https://sid.ir/paper/1046872/en

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