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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References
Vermesan, O., et al.: Internet of Things Strategic Research Roadmap (2012), http://internet-of-things-research.eu/pdf/IoT_Cluster_Strategic_Research_Agenda_2011.pdf
Mell, P., Grance, T.: The NIST definition of Cloud Computing (2012), http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf
International Telecommunication Union, http://www.itu.int
Ashton, K.: Internet of Things Strategic Research Roadmap. CERP-IoT, September 15 (2009)
Scarrone, E., Boswarthick, D.: Overview of ETSI TC M2M Activities (March 2012), http://docbox.etsi.org/M2M/Open/Information/M2M_presentation.pdf
Waldner, J.B.: Nanoinformatique et intelligence ambiante. Inventer l’Ordinateur du XXIeme Siècle, p. 254. Hermes Science, London (2007) ISBN 2746215160
Schuenemann, B.: V2X Simulation Runtime Infrastructure VSimRTI: An Assessment Tool to Design Smart Traffic Management Systems. Computer Networks 55(14), 3189–3198 (2011) ISSN: 1389-1286
Abuelela, M., Olariu, S.: Taking VANET to the Clouds. In: The 8th International Conference on Advances in Mobile Computing & Multimedia, MoMM 2010 (2010)
Hartenstein, H., Laberteaux, K.P.: A tutorial survey on vehicular ad hoc networks. Proc. of the IEEE Communications Magazine 46(6), 164–171 (2008)
IEEE Standard 802.11p, Wireless Access in Vehicular Environments (July 2010)
ETSI EN 302 571 - Intelligent Transport Systems (ITS); Radiocommunications equipment operating in the 5 855 MHz to 5 925 MHz frequency band; Harmonized EN covering the essential requirements of article 3.2 of the R&TTE Directive, http://www.etsi.org/deliver/etsi_en/302500_302599/302571/01.01.01_60/en_302571v010101p.pdf
ETSI TS 102 687 Intelligent Transport Systems (ITS); Intelligent Transport Systems (ITS); Decentralized Congestion Control Mechanisms for Intelligent Transport Systems operating in the 5 GHz range. Access layer part (2011)
ETSI TR 102 862 Intelligent Transport Systems (ITS); Performance Evaluation of Self-Organizing TDMA as Medium Access Control Method Applied to ITS. Access Layer Part (2012)
ETSI TR 102 861 Intelligent Transport Systems (ITS); On the Recommended Parameter Settings for Using STDMA for Cooperative ITS. Access Layer Part (2012)
Scopigno, R., Cozzetti, H.A.: Mobile Slotted Aloha for Vanets. In: IEEE 70th Vehicular Technology Conference (2009)
Cozzetti, H.A., Scopigno, R.: Scalability and QoS in Slotted VANETs: Forced Slot Re-Use vs Pre-emption. In: The 14th International IEEE Conference on Intelligent Transportation Systems (2011)
Spaho, E., Barolli, L., Mino, G., Xhafa, F., Kolici, V.: VANET Simulators: A Survey on Mobility and Routing Protocols. In: The IEEE International Conference onBroadband and Wireless Computing, Communication and Applications, BWCCA (2011)
Weingartner, E., vom Lehn, H., Wehrle, K.: A performance comparison of recent network simulators. In: Proc. of the IEEE International Conference on Communications (2009)
Svilen, I., Andr, H., Georg, L.: Experimental validation of the ns-2 wireless model using simulation, emulation, and real network. In: 4th Workshop on Mobile Ad-Hoc Networks (2007)
NS-2 Network Simulator tool, http://www.isi.edu/nsnam/ns
NS-3 Network Simulator tool, http://www.nsnam.org/
Martinez, J.F., Toh, C.K., Cano, J.C., Calafate, C.T., Manzoni, P.: A survey and comparative study of simulators for vehicular ad hoc networks (VANETs). The Journal Wireless Communications and Mobile Computing 11(7) (2011)
Pilosu, L., Fileppo, F., Scopigno, R.: RADII: A Computationally Affordable Method to Summarize Urban Ray-Tracing Data for VANETs. In: 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM), Wuhan, China, pp. 1–6 (September 2011)
Boban, M., Vinhoza, T.T.V., Ferreira, M., Barros, J., Tonguz, O.K.: Impact of Vehicles as Obstacles in Vehicular Ad Hoc Networks. The IEEE Journal on Selected Areas in Communications 29(1), 15–28 (2011)
ETSI TS 102 637-2. Intelligent Transport Systems (ITS); Vehicular Communications; Basic Set of Applications; Part 2: Specification of Cooperative Awareness Basic Service (2011)
Khajeh-Hosseini, A., Sommerville, I., Sriram, I.: Research Challenges for Enterprise Cloud Computing. CoRR Journal, abs/1001.3257 (2010)
Rymer, J.R., Gualtieri, M.: Cloud Computing Brings Demand for Elastic Application Platforms (2011), http://www.cloudsoftcorp.com/wp-content/uploads/FORRESTER-REPORT-Elastic-Application-Platforms.pdf
Amazon, Inc., Amazon Elastic Compute Cloud, User Guide, API Version 2011-12-15 (2012), http://awsdocs.s3.amazonaws.com/EC2/latest/ec2-ug.pdf
Chierici, A., Veraldi, R.: A quantitative comparison between xen and kvm. In: Proc. of 17th International Conference on Computing in High Energu and Nuclear Physics. Journal of Physics: Conference Series, vol. 219 (2010)
Amazon, Inc., Amazon Elastic Compute Cloud (Amazon EC2) (December 2008), http://aws.amazon.com/ec2/
Iosup, A., Ostermann, S., Yigitbasi, N., Prodan, R., Fahringer, T., Epema, D.: Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing. Proc. of the IEEE Transactions on Parallel and Distributed Systems 22(6), 931–945 (2011)
Amazon, Inc., Amazon Elastic Block Store (EBS) (2012), http://aws.amazon.com/ebs/
Bilstrup, K., Uhlemann, E., Strom, E.G., Bilstrup, U.: On the Ability of the 802.11p MAC Method and STDMA to support Real-Time Vehicle-to-Vehicle Communication. EURASIP Journal on Wireless Communication and Networking 2009 (2009)
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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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