Big data services requirements analysis

Affan Yasin, Lin Liu*, Zhanqiang Cao, Jianmin Wang, Yingbo Liu, Tan Sheau Ling

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

5 Citations (Scopus)

Abstract

The development of the Internet and cloud computing has set up a matured environment for developing and deploying big data services. The main objective of requirements engineering for big data is to capture big data service users’ needs and provider’s capabilities, and to identify value added service use cases for big data technology in a given organizational context. Major objectives may include: collect real-time data about the world, search for useful information in large data sets, gain insights about given problems by data analytics, predict possible trend of interesting subjects, and make decisions for the next immediate actions. In this paper, we propose a big data service requirements analysis framework, which aims to provide useful guidelines for eliciting service requirements, selecting the right services architectures and evaluate the available technological services implementations. For services under operation, we suggest data analysis to service logs to elicit user’s changing needs, to evaluate the run-time service performance and to check compliance to general standards and domain-specific regulations. Example cases from eHealth and industry 4.0 are discussed to illustrate the proposed service requirements framework.

Original languageEnglish
Title of host publicationRequirements Engineering for Internet of Things - 4th Asia-Pacific Symposium, APRES 2017, Proceedings
EditorsSabrina Ahmad, Massila Kamalrudin, Naveed Ikram
PublisherSpringer Verlag
Pages3-14
Number of pages12
ISBN (Print)9789811077951
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event4th Symposium on Asia-Pacific Requirements Engineering Symposium, APRES 2017 - Melaka, Malaysia
Duration: 9 Nov 201710 Nov 2017

Publication series

NameCommunications in Computer and Information Science
Volume809
ISSN (Print)1865-0929

Conference

Conference4th Symposium on Asia-Pacific Requirements Engineering Symposium, APRES 2017
Country/TerritoryMalaysia
CityMelaka
Period9/11/1710/11/17

Keywords

  • Big data
  • Case study
  • Process
  • Requirements
  • Services engineering

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