Cloud Computing Framework for Vehicle Multimedia with Dynamic Priority-based Efficient Resource Allocation

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 6

Year of Publication : 2024

Authors : Mohammad Khaja Nizamuddin, Zunaira Begum, C. Atheeq, Ruhiat Sultana, Ahsan Saud Qadri

10.14445/23488379/IJEEE-V11I6P103

How to Cite?

Mohammad Khaja Nizamuddin, Zunaira Begum, C. Atheeq, Ruhiat Sultana, Ahsan Saud Qadri, "Cloud Computing Framework for Vehicle Multimedia with Dynamic Priority-based Efficient Resource Allocation," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 6, pp. 22-30, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P103

Abstract:

 Intelligent transportation systems rely on smart vehicles equipped with a diverse array of sensory devices to deliver a spectrum of multimedia applications, including driving assistance, traffic status updates, weather forecasts, safety alerts, and entertainment features. However, the substantial volume of multimedia data generated by these vehicles overwhelms the processing due to their restricted processing speed and storage capacity, standalone onboard computer systems. Consequently, a shift in networking and computational paradigms is imperative to accommodate these multimedia services effectively. Cloud computing emerges as a viable solution for seamlessly integrating vehicles into the cloud infrastructure. Nevertheless, challenges related to multimedia content processing, encompassing resource costs, swift service response times, and optimized user experiences, can significantly influence vehicular communication performance. We provide effective resource allocation and computation architecture designed specifically for vehicle multimedia cloud computing to overcome these issues. Through the Cloudsim simulator, this framework’s performance is thoroughly assessed with an emphasis on user experience, service response times, and resource costs.

Keywords:

Intelligent transportation system, Smart vehicles, Efficient resource allocation, Cloud computing, QoS.

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