LEVERAGING THE SCALABILITY: A DISTRIBUTED CLOUD FOR TOMORROW’S INTERNET OF AUTONOMOUS THINGS
Cristian Stefan () and
Logica Bănică ()
Additional contact information
Cristian Stefan: Faculty of Engineering, Informatics and Geography, Spiru Haret University, Romania
Scientific Bulletin - Economic Sciences, 2020, vol. 19, issue 1, 22-29
In a cloud computing environment, the dynamic resource distribution is especially important for accomplishment of customer demands in a fast and secure manner. A distributed cloud uses fog and edge computing in its infrastructure to reduce the latencies by offering computation and data storage closer to devices. This paper presents the concept of distributed cloud computing and its base components and propose a three-layered architecture model. The study also discusses several platforms which implement the concept in different application areas, such as education, the automotive sector, manufacturing industry and transport.
Keywords: Distributed Cloud Computing; Internet-of-Things; Business model; Smart manufacturing. (search for similar items in EconPapers)
JEL-codes: C63 C88 L60 M15 (search for similar items in EconPapers)
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pts:journl:y:2020:i:1:p:22-29
Access Statistics for this article
Scientific Bulletin - Economic Sciences is currently edited by Alina Hagiu
More articles in Scientific Bulletin - Economic Sciences from University of Pitesti Contact information at EDIRC.
Bibliographic data for series maintained by Alina Hagiu ( this e-mail address is bad, please contact ).