Sökning: WFRF:(Bergvall Kåreborn Birgitta)
> (2015-2019)
> Osman Ahmed M. Shahat >
Big Data Analytics ...
Big Data Analytics and Smart Cities : A Loose or Tight Couple?
-
- Osman, Ahmed M. Shahat (författare)
- Luleå tekniska universitet,Datavetenskap
-
- Elragal, Ahmed (författare)
- Luleå tekniska universitet,Datavetenskap
-
- Bergvall-Kåreborn, Birgitta (författare)
- Luleå tekniska universitet,Datavetenskap
-
(creator_code:org_t)
- IADIS, 2017
- 2017
- Engelska.
-
Ingår i: Proceedings of the International Conference on ICT, Society and Human Beings 2017. - : IADIS. - 9789898533678 ; , s. 157-168
- Relaterad länk:
-
https://ltu.diva-por... (primary) (Raw object)
-
visa fler...
-
https://urn.kb.se/re...
-
visa färre...
Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
- SAMHÄLLSVETENSKAP -- Medie- och kommunikationsvetenskap -- Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning (hsv//swe)
- SOCIAL SCIENCES -- Media and Communications -- Information Systems, Social aspects (hsv//eng)
Nyckelord
- Big data
- Big data analytics Frameworks
- Smart cities
- Information systems
- Informationssystem
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
Hitta via bibliotek
Till lärosätets databas