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Big Data Analytics and Smart Cities: A Loose or Tight Couple?
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-4250-4752
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-4317-9963
2017 (engelsk)Inngår i: Proceedings of the International Conference on ICT, Society and Human Beings 2017: Part of the Multi Conference on Computer Science and Information Systems 2017 / [ed] Kommers P.,Rodrigues L., IADIS , 2017, s. 157-168Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Smart City (SC) is an emerging concept aiming at mitigating the challenges raised due to the continuous urbanization development. To face these challenges, government decision makers sponsor SC projects targeting sustainable economic growth and better quality of life for inhabitants and visitors. Information and Communication Technologies (ICT) is the enabling technology for smartening. These technologies yield massive volumes of data known as Big Data (BD). If spawned BD are integrated and analyzed, both city decision makers and citizens can benefit from valuable insights and information services. The process of extracting information and insights from BD is known as Big Data Analytics (BDA). Although BDA involves non-trivial challenges, it attracted academician and industrialist. Surveying the literature reveals the novelty and increasing interest in addressing BD applications in SCs. Although literature is replete with abundant number of articles about SCs applications harnessing BD, comprehensive discussion on BDA frameworks fitting SCs requirements is still needed. This paper attempts to fill this gap. It is a systematic literature review on BDA frameworks in SCs. In this review, we will try to answer the following research questions: what are the big data analytics frameworks applied in smart cities? what are the functional gaps in the current available frameworks? what are the conceptual guidelines of designing integrated scalable big data analytics frameworks for smart cities purposes? The paper concludes with a proposal for a novel conceptual analytics framework to serve SCs requirements. Additionally, open issues and further research directions are presented.

sted, utgiver, år, opplag, sider
IADIS , 2017. s. 157-168
Emneord [en]
Big data, Big data analytics Frameworks, Smart cities
HSV kategori
Forskningsprogram
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Identifikatorer
URN: urn:nbn:se:ltu:diva-63718Scopus ID: 2-s2.0-85040188916ISBN: 9789898533678 (tryckt)OAI: oai:DiVA.org:ltu-63718DiVA, id: diva2:1105669
Konferanse
10th International Conference on Connected Smart Cities 2017 (CSC 2017), Lisbon, 20-22 July 2017
Tilgjengelig fra: 2017-06-05 Laget: 2017-06-05 Sist oppdatert: 2018-01-19bibliografisk kontrollert

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Osman, Ahmed M. ShahatElragal, AhmedBergvall-Kåreborn, Birgitta

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