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AuthorBhushan, Saksham
AuthorMat, Maode
Available date2024-08-15T04:48:36Z
Publication Date2021
Publication Name2021 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2021
ResourceScopus
URIhttp://dx.doi.org/10.1109/SOLI54607.2021.9672442
URIhttp://hdl.handle.net/10576/57725
AbstractIn this emerging world of connected devices, the need for more computing devices with a focus on the delay-sensitive application is critical. In this paper, we propose a priority-queue based Fog computing architecture that dynamically allocates fog nodes based on system load. Also, task allocation is performed based on priority. This not only reduces the delay experienced by delay-sensitive tasks by categorizing the delay-sensitive and delay-insensitive tasks but also dynamically allocates the fog devices within the network depending upon the computation load for reducing the power consumption. The results show that the proposed algorithm is able to achieve significantly lower delay for delay-sensitive tasks for larger rates of tasks arrival when compared with other related schemes along with a 12.7% lower power consumption for a given range of rate of tasks arrival.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
SubjectDelay-sensitive
Edge device
Fog computing
IoT
Priority queue
Resource allocation
TitlePriority-Queue based Dynamic Scaling for Efficient Resource Allocation in Fog Computing
TypeConference
dc.accessType Full Text


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