Abstract
Intelligent Transportation Systems (ITSs) means services to improve safety and traffic efficiency. For example, vehicle-to-vehicle communication for road safety. In ITSs, vehicles are equipped with a number of sensors which provide different functions like weather forecast, temperature, GPS etc. All these features make the drive better and smooth. As a result, these vehicles produce a large amount of multimedia related data, which is critical and delay-sensitive, and requires on-time processing. The standalone devices embedded in the vehicles cannot do the required fast-processing due to their limited computation facilities. Cost minimisation, Quality of Experience, and resource allocation are some more problems related to multimedia related content processing, which have arrived in recent times. Thus, the concept of merging cloud computing with vehicles has emerged. Still conventional cloud computing is not suitable for this critical and delaysensitive multimedia related data. So a new computing paradigm called Multimedia Cloud Computing (MCC) has emerged. Thus, in this paper, a Dynamic Priority-based Efficient Resource Allocation and Computing scheme is proposed to overcome the above-mentioned issues.
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