Abstract
The Intelligent Transportation Systems technology is meant to improve the traveling experience, for instance increasing the safety of transportation and the effectiveness of traffic management, and enhancing the environmental impact. Currently, the standardization of VANETs has reached a satisfactory stage but, despite this, only partial experimental data is available. In fact, on-field experiments are often too expensive, cannot be exhaustive (i.e., they cannot afford to test all the possible scenarios and settings), cannot be carried out in fully crowded scenarios (with many vehicles and communication systems) and will allow only limited comprehension (providing only high-level statistics).
Nonetheless, due to the complex phenomena involved in VANET (high mobility, large number of nodes and harsh environmental conditions), protocols and applications need to be extensively tested in order to guarantee reliable solutions. For this reason network simulators still play a vital role for VANETs. In fact, simulations can support both the protocol design and subsequent evaluation phases providing results and feedback under a wide range of conditions and at a lower cost than any experiment.
The objective of this work is to fill this gap through the proposal of a new architecture based on a virtual cloud computing environment for optimal scheduling of batch simulations in a hybrid cloud environment. This solution will allow improvements to be made on the performance achieved by the currently available methodologies.
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Terzo, O. et al. (2013). Hybrid Cloud Architecture for VANET Simulations. In: Bessis, N., Xhafa, F., Varvarigou, D., Hill, R., Li, M. (eds) Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence. Studies in Computational Intelligence, vol 460. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34952-2_10
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DOI: https://doi.org/10.1007/978-3-642-34952-2_10
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