Towards Approximating Expected Job Completion Time in Dynamic Vehicular Clouds
作者： Aida Ghazizadeh , Puya Ghazizadeh , Ravi Mukkamala , Stephan Olariu
关键词:
摘要: Motivated by the success of cloud computing, vehicular clouds were introduced as a group vehicles whose corporate sensing, communication, and physical resources can be coordinated dynamically allocated to authorized users. Our main contribution is offer an easy-to-compute approximation job completion time in dynamic model involving on highway. We assume estimates first moment it takes execute without any overhead attributable working cloud. simulations have shown that our very accurate. To best knowledge, this paper dealing with estimating clouds.
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