Dynamic priority-based efficient resource allocation and computing framework for vehicular multimedia cloud computing
Journal article
Siddiqi, MH, Alruwaili, M, Ali, A, Haider, SF, Ali, F and Iqbal, M (2020). Dynamic priority-based efficient resource allocation and computing framework for vehicular multimedia cloud computing. IEEE Access. 8, pp. 81080-81089. https://doi.org/10.1109/ACCESS.2020.2990915
Authors | Siddiqi, MH, Alruwaili, M, Ali, A, Haider, SF, Ali, F and Iqbal, M |
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Abstract | © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works In intelligent transportation system, smart vehicles are equipped with a variety of sensing devices those offer various multimedia applications and services related to smart driving assistance, weather forecasting, traffic congestion information, road safety alarms, and many entertainment and comfort-related applications. These smart vehicles produce a massive amount of multimedia related data that required fast and real-time processing which cannot be fully handled by the standalone onboard computing devices due to their limited computational power and storage capacities. Therefore, handling such multimedia applications and services demanded changes in the underlaying networking and computing models. Recently, the integration of vehicles with cloud computing is emerged as a challenging computing paradigm. However, there are certain challenges related to multimedia contents processing, (i.e., resource cost, fast service response time, and quality of experience) that severely affect the performance of vehicular communication. Thus, in this paper, we propose an efficient resource allocation and computation framework for vehicular multimedia cloud computing to overcome the aforementioned challenges. The performance of the proposed scheme is evaluated in terms of quality of experience, service response time, and resource cost by using the Cloudsim simulator. |
Keywords | Intelligent transportation system; multimedia cloud computing; vehicular networks; quality of experience; multimedia contents processing; response time; smart vehicle |
Year | 2020 |
Journal | IEEE Access |
Journal citation | 8, pp. 81080-81089 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
ISSN | 2169-3536 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ACCESS.2020.2990915 |
Publication dates | |
28 Apr 2020 | |
Publication process dates | |
Accepted | 09 Apr 2020 |
Deposited | 11 Jun 2020 |
Publisher's version | License File Access Level Open |
https://openresearch.lsbu.ac.uk/item/89z23
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