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dc.contributor.authorAlaslani, Maha S.
dc.contributor.authorShihada, Basem
dc.date.accessioned2019-03-04T07:07:24Z
dc.date.available2019-03-04T07:07:24Z
dc.date.issued2018-08-20
dc.identifier.citationAlaslani M, Shihada B (2018) Intelligent Edge: An Instantaneous Detection of IoT Traffic Load. 2018 IEEE International Conference on Communications (ICC). Available: http://dx.doi.org/10.1109/ICC.2018.8423004.
dc.identifier.doi10.1109/ICC.2018.8423004
dc.identifier.urihttp://hdl.handle.net/10754/631292
dc.description.abstractInternet of Things (IoT) can be defined as the interconnection of any device to the Internet that collects and exchanges information. With the rapidly growing heterogenetic IoT applications and its associated devices, a massive amount of data is being transmitted in the network. Often, a large spike in network traffic to a particular destination causes a widespread disruption of Internet services for end users, which can cause online businesses billions of dollars in losses. In this paper, we analyze an intelligent edge that can identify volumetric traffic and address them in real-time using an instantaneous detection method for IoT applications. This approach can easily detect a large surge and a potential variation in traffic patterns for an IoT application, which can contribute to safer and more efficient operation of the overall system. As per our results, we gave a closer insight on the advantage of having an intelligent edge to serve as a detection mechanism.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8423004
dc.rightsArchived with thanks to 2018 IEEE International Conference on Communications (ICC)
dc.subjectArrival Rate
dc.subjectIoT
dc.subjectPublish/Subscribe Model
dc.subjectQoS
dc.subjectQueueing Delay
dc.subjectQueueing Theory
dc.subjectTraffic Load
dc.titleIntelligent Edge: An Instantaneous Detection of IoT Traffic Load
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.identifier.journal2018 IEEE International Conference on Communications (ICC)
dc.conference.date2018-05-20 to 2018-05-24
dc.conference.name2018 IEEE International Conference on Communications, ICC 2018
dc.conference.locationKansas City, MO, USA
dc.eprint.versionPost-print
kaust.personAlaslani, Maha S.
kaust.personShihada, Basem
refterms.dateFOA2019-03-04T07:08:41Z
dc.date.published-online2018-08-20
dc.date.published-print2018-05


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