- Title
- Comparison of Task Scheduling Algorithms for Traffic Surveillance Application Using Fog Computing
- Creator
- Sinqadu, Mluleki, Shibeshi, Zelalem S, Khalid, Khuram
- Date
- 2022
- Type
- text
- Type
- article
- Identifier
- http://hdl.handle.net/10962/429150
- Identifier
- vital:72563
- Identifier
- https://doi.org/10.1007/978-3-030-89776-5_3
- Description
- One of the issues that service consumers face when using cloud-based solutions is the delay in processing large and real-time data. Fog computing has been introduced as a solution to this issue since it allows the data to be processed at the edge of a network while enabling different tasks to be scheduled for processing in fog devices at the edge network. These devices still require cloud resources to give them the capacity of processing real-time applications. However, scheduling these tasks must be made in such a way that they do not consume all the available resources on a fog device. When a task consumes all available resources, it can lead to network breakdown or high latency which is not acceptable for real-time applications. Therefore, to address this problem, this chapter proposes a task scheduling technique for traffic surveillance vehicular network application through smart cameras. We used the iFogSim simulator, where the scenario of vehicle tracking is considered. Simulations are conducted to find an efficient scheduling algorithm among a pool of available ones that can optimize the energy consumption and average delay of our proposed real-time application model. The results show that the First Come First Serve (FCFS) scheduling algorithm outperforms the Short Job First (SJF), Generalized Priority (GP) and Round Robin (RR) counterparts in terms of average latency, energy usage, execution time and network usage.
- Format
- 14 pages, pdf
- Language
- English
- Relation
- International Conference on Wireless, Intelligent and Distributed Environment for Communication: WIDECOM, Sinqadu, M., Shibeshi, Z.S. and Khalid, K., 2022, February. Comparison of Task Scheduling Algorithms for Traffic Surveillance Application Using Fog Computing. In 4th International Conference on Wireless, Intelligent and Distributed Environment for Communication: WIDECOM 2021 (pp. 31-45). Cham: Springer International Publishing, International Conference on Wireless, Intelligent and Distributed Environment for Communication: WIDECOM volume 2022 number 1 31 45 2022 978-3-030-89776-5
- Rights
- Publisher
- Rights
- Use of this resource is governed by the terms and conditions of the SpringerLink Terms of Use Statement ( https://link.springer.com/termsandconditions)
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Collections
Shibeshi, Zelalem Sintayehu (Dr)
RU Department of Computer Science
SDG 09. Industry, Innovation and Infrastructure
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