Fog computing scheduling algorithm for smart city
| Autor: | Ahmad Al Smadi, Ahmad Mohammad Al-smadi, Roba Mahmoud Ali Aloglah, Daniah Alrajhi, Nisrein Jamal sanad Abu-darwish, Mutasem K. Alsmadi, Muneerah Alshabanah, Hanouf Alkhaldi |
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| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | International Journal of Electrical and Computer Engineering (IJECE). 11:2219 |
| ISSN: | 2722-2578 2088-8708 |
| DOI: | 10.11591/ijece.v11i3.pp2219-2228 |
| Popis: | With the advent of the number of smart devices across the globe, increasing the number of users using the Internet. The main aim of the fog computing (FC) paradigm is to connect huge number of smart objects (billions of object) that can make a bright future for smart cities. Due to the large deployments of smart devices, devices are expected to generate huge amounts of data and forward the data through the Internet. FC also refers to an edge computing framework that mitigates the issue by applying the process of knowledge discovery using a data analysis approach to the edges. Thus, the FC approaches can work together with the internet of things (IoT) world, which can build a sustainable infrastructure for smart cities. In this paper, we propose a scheduling algorithm namely the weighted round-robin (WRR) scheduling algorithm to execute the task from one fog node (FN) to another fog node to the cloud. Firstly, a fog simulator is used with the emergent concept of FC to design IoT infrastructure for smart cities. Then, spanning-tree routing (STP) protocol is used for data collection and routing. Further, 5G networks are proposed to establish fast transmission and communication between users. Finally, the performance of our proposed system is evaluated in terms of response time, latency, and amount of data used. |
| Databáze: | OpenAIRE |
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