Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing
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 comfor...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9079794/ |
| _version_ | 1819295716122558464 |
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| author | Muhammad Hameed Siddiqi Madallah Alruwaili Amjad Ali Syed Fawad Haider Farman Ali Muddesar Iqbal |
| author_facet | Muhammad Hameed Siddiqi Madallah Alruwaili Amjad Ali Syed Fawad Haider Farman Ali Muddesar Iqbal |
| author_sort | Muhammad Hameed Siddiqi |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-24T04:46:38Z |
| format | Article |
| id | doaj.art-2903f06eb13f47f186b1571ba7abdc07 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-24T04:46:38Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2903f06eb13f47f186b1571ba7abdc072022-12-21T17:14:40ZengIEEEIEEE Access2169-35362020-01-018810808108910.1109/ACCESS.2020.29909159079794Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud ComputingMuhammad Hameed Siddiqi0https://orcid.org/0000-0002-4370-8012Madallah Alruwaili1https://orcid.org/0000-0002-5198-5730Amjad Ali2https://orcid.org/0000-0002-5346-1017Syed Fawad Haider3Farman Ali4Muddesar Iqbal5https://orcid.org/0000-0002-8438-6726College of Computer and Information Sciences, Jouf University, Sakaka, Saudi ArabiaCollege of Computer and Information Sciences, Jouf University, Sakaka, Saudi ArabiaDepartment of Computer Science, COMSATS University Islamabad, Lahore Campus, PakistanDepartment of Information Technology, University of Gujrat, Gujrat, PakistanDepartment of Software, Sejong University, Seoul, South KoreaDivision of Computer Science and Informatics, London South Bank University, London, U.KIn 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.https://ieeexplore.ieee.org/document/9079794/Intelligent transportation systemmultimedia cloud computingvehicular networksquality of experiencemultimedia contents processingresponse time |
| spellingShingle | Muhammad Hameed Siddiqi Madallah Alruwaili Amjad Ali Syed Fawad Haider Farman Ali Muddesar Iqbal Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing IEEE Access Intelligent transportation system multimedia cloud computing vehicular networks quality of experience multimedia contents processing response time |
| title | Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing |
| title_full | Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing |
| title_fullStr | Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing |
| title_full_unstemmed | Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing |
| title_short | Dynamic Priority-Based Efficient Resource Allocation and Computing Framework for Vehicular Multimedia Cloud Computing |
| title_sort | dynamic priority based efficient resource allocation and computing framework for vehicular multimedia cloud computing |
| topic | Intelligent transportation system multimedia cloud computing vehicular networks quality of experience multimedia contents processing response time |
| url | https://ieeexplore.ieee.org/document/9079794/ |
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