Virtual Resource Composition for Allocation Management in VCC Networks

Vehicular Ad-hoc Networks (VANETs) have contributed significantly towards improving road traffic management and safety. VANETs, integrated with Vehicular Clouds, enable underutilized vehicular resources for efficient resource management, fulfilling service requests. This work introduces the concept of clustering resources from nearby vehicles to form Combined Resource Units (CRUs). These units contribute to fulfilling user service requirements while avoiding the difficult task of matching user requests with the available resources of an individual vehicle. CRU composition is helpful, especially for the heterogeneity of vehicles. The vehicle resources are clustered into CRUs based on three different sized pools, making the service matching process more time-efficient. Previous works have adopted stochastic models for resource clustering configurations. However, this paper adopts distinct search algorithms for CRU composition, which are computationally less complex. Results showed that light-weight search algorithms, such as SSA, achieved close to 80% of resource availability without over-assembling CRUs in higher density scenarios.