Design and Quantitative Assessment of a Novel Hybrid Cloud Architecture for VANET Simulations

Vehicular Ad-hoc NETworks (VANETs) are ad hoc networks aimed at improving the safety and efficiency of transportation in the near future. Despite the availability of results from field-trials, simulations still play an unequalled role in the comprehensive understanding of complex and crowded VANET scenarios. Even more, VANET simulations are typically computationally intensive problems and lend themselves for execution on distributed systems. This paper presents a new architecture optimizing the scheduling and execution of a batch of simulations over a hybrid cloud. Results reveal that, in case of multiple simulations to be executed, the overall performance can deeply benefit from a distributed approach, reducing time and costs

Design and Quantitative Assessment of a Novel Hybrid Cloud Architecture for VANET Simulations

Vehicular Ad-hoc NETworks (VANETs) are ad hoc networks aimed at improving the safety and efficiency of transportation in the near future. Despite the availability of results from field-trials, simulations still play an unequalled role in the comprehensive understanding of complex and crowded VANET scenarios. Even more, VANET simulations are typically computationally intensive problems and lend themselves for execution on distributed systems. This paper presents a new architecture optimizing the scheduling and execution of a batch of simulations over a hybrid cloud. Results reveal that, in case of multiple simulations to be executed, the overall performance can deeply benefit from a distributed approach, reducing time and cost