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Stack4Things as a fog computing platform for Smart City applications

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dc.contributor.author Bruneo D.
dc.contributor.author Distefano S.
dc.contributor.author Longo F.
dc.contributor.author Merlino G.
dc.contributor.author Puliafito A.
dc.contributor.author D'Amico V.
dc.contributor.author Sapienza M.
dc.contributor.author Torrisi G.
dc.date.accessioned 2018-09-19T20:35:01Z
dc.date.available 2018-09-19T20:35:01Z
dc.date.issued 2016
dc.identifier.issn 0743-166X
dc.identifier.uri https://dspace.kpfu.ru/xmlui/handle/net/143037
dc.description.abstract © 2016 IEEE.Fog computing envisions computation logic to be moved at the edge of the Internet where data needs to be quickly elaborated, decisions made, and actions performed. Delegating to the Cloud the whole burden of applications could not be efficient indeed, for example in case of workload bursts. This is especially true in the context of IoT and Smart City where thousands of smart objects, vehicles, mobiles, people interact to provide innovative services. We thus designed Stack4Things as an OpenStack-based framework spanning the Infrastructure-as-a-Service and Platform-as-a-Service layers. It enables developers and users to manage an IoT infrastructure, remotely controlling nodes as well as virtualizing their functions and creating network overlays among them, implementing a provisioning model for Cyber-Physical Systems. Moreover, it provides mechanisms to scatter the application logic on top of the involved smart objects and to choose with fine granularity which specific tasks to delegate to centralized Cloud infrastructure. In this paper, we show the core Stack4Things mechanisms implementing a Fog computing approach towards a run-time 'rewireable' Smart City paradigm. We demonstrate its effectiveness in a smart mobility scenario where vehicles interact with City-level smart objects to provide end users with highly responsive geolocalised services.
dc.relation.ispartofseries Proceedings - IEEE INFOCOM
dc.subject AllJoyn
dc.subject code injection
dc.subject fog computing
dc.subject function virtualization
dc.subject OpenStack
dc.subject plugin-based development
dc.subject Stack4Things
dc.title Stack4Things as a fog computing platform for Smart City applications
dc.type Conference Paper
dc.relation.ispartofseries-volume 2016-September
dc.collection Публикации сотрудников КФУ
dc.relation.startpage 848
dc.source.id SCOPUS0743166X-2016-2016-SID84988813645


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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