Comparative analysis of computation models for IoT: Distributed fog vs. conventional cloud

bracu.type.groupResearch Publications
datacite.rightsMetadata Only
dc.contributor.authorHeya, Tasnia Ashrafi
dc.contributor.authorArefin, Sayed Erfan
dc.contributor.authorHossain, Md. Arshad
dc.contributor.authorChakrabarty, Amitabha
dc.contributor.departmentDepartment of Computer Science and Engineering
dc.date.accessioned2026-09-02T07:45:13Z
dc.date.available2026-09-02T07:45:13Z
dc.date.issued2017-07-01
dc.description.abstractThe Internet of Things(IoT) empowers a more intelligent connectivity of digital, physical and human sphere by including data transfer and communication abilities through objects, securely building an organized network environment and here, cloud computing takes a vital part in thriving IoT. With the growing number of smart objects with the ongoing evolution rate of IoT, it involves a great issue to be concerned about which is our existing computing models or infrastructures will most likely be unable to deal with the huge measure of data efficiently including those developing number of smart IoT objects. To overcome this matter, a distributed, secure and more efficient infrastructure has been proposed in this paper. Moreover, this paper will mostly be focusing on the comparative analysis with the existing traditional models and infrastructures to provide an overview of the success rate of the designed infrastructure based on Fog computing model to overcome the challenges.
dc.description.versionPublished
dc.format.extent760-765
dc.identifier.citationT. A. Heya, S. E. Arefin, M. A. Hossain and A. Chakrabarty, "Comparative analysis of computation models for IoT: Distributed fog vs. conventional cloud," 2017 4th International Conference on Advances in Electrical Engineering (ICAEE), Dhaka, Bangladesh, 2017, pp. 760-765, doi: 10.1109/ICAEE.2017.8255456.
dc.identifier.doi10.1109/ICAEE.2017.8255456
dc.identifier.issn9781538608692
dc.identifier.other2-s2.0-85047739393
dc.identifier.urihttps://hdl.handle.net/10361/29698
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.hasversion10.1109/ICAEE.2017.8255456
dc.relation.ispartof4th International Conference on Advances in Electrical Engineering Icaee 2017
dc.relation.ispartofseries4th International Conference on Advances in Electrical Engineering Icaee 2017
dc.relation.urihttps://ieeexplore.ieee.org/document/8255456
dc.subjectService-oriented architecture
dc.subjectCloud computing
dc.subjectComputational modeling
dc.subjectData models
dc.subjectEdge computing
dc.subjectInternet of Things (IoT)
dc.subjectFog computing
dc.subjectM2M communication
dc.subjectService Oriented Architecture(SOA)
dc.subjectAgent based SOA
dc.subjectQuality of Service (QoS)
dc.subjectHeterogeneous devices
dc.subject.lcshInternet of things.
dc.subject.lcshCloud Computing.
dc.titleComparative analysis of computation models for IoT: Distributed fog vs. conventional cloud
dc.typeConference Proceeding
oaire.citation.volume2018-January
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.affiliation.nameBRAC University
person.identifier.scopus-author-id57202288125
person.identifier.scopus-author-id56582127900
person.identifier.scopus-author-id57201440192
person.identifier.scopus-author-id35108854200

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