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## Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks

#### Yonal Kırsal [1]

Today, many large usages of cloud-based vehicular networks and applications have rapidly increased. This rapid increase causes the requirement of systems to be reliable to share their resources without delay in order to ensure a better quality of service (QoS) for mobile users. Hence, network slicing is considered one of the key concepts to enhance QoS in 5G networks. At present, new architectures attempt to provide support for end-to-end server quality mechanisms. A key mechanism of network slicing supported by such modern architectures is able to either handover to better network or migrate services closer to the users as they move around. This can be done by advanced handover and server localization techniques. These sorts of advanced handover and server localization help to maintain the QoS for mobile application in heterogeneous environments. In order to obtain QoS measurements and get the network conditions in a specific area, a cloud-based vehicular network slicing management framework is proposed using an analytical modeling approach. The analytical model results obtained considering real scenarios from a Middlesex University VANET testbed. Using this framework, the mobile users will make a decision on which situation is better suited to obtain the service based on the latencies as well as queuing capacities of the networks.

network slicing, QoS management, analytical modelling, VANET, advanced handover
• Q. Li, G. Wu, A. Papathanassiou, L. Wei, “End-to end network slicing in 5G wireless communication systems", In Proc. of ESTI workshop on future radio technologies: Air interfaces, Jan. 27-28, 2016.
• P. K. Agyapong, M. I., "Design Considerations for a 5G Network Architecture", IEEE Communications Magazine, vol. 52, no. 11, 2014, pp. 65-75.
• H. Zhang, N. Liu, X. Chu, K. Long, A. Aghvami, V. C. M. Leung, "Network Slicing Based 5G and Future Mobile Networks: Mobility Resource Management and Challenges", Communications Magazine IEEE, vol.55, 2017, pp. 138-145.
• Ericsson white paper, 5G systems, http://www.ericsson.com/res/docs/whitepapers/whatis-a-5g-system.pdf, Jan. 2015. Accessed: 2015-05-29.
• Nokia, Dynamic end-to-end network slicing for 5G, White paper, Finland, 2016
• F. Sardis, G. Mapp, J. Loo, M. Aiash and A. Vinel, “On the Investigation of Cloud-Based Mobile Media Environments With Service-Populating and QoS-Aware Mechanisms," IEEE Transactions on Multimedia, vol. 15, no. 4, pp. 769-777, June 2013.
• F. Sardis, “Exploring Traffic and QoS Management mechanisms to support mobile cloud computing using service localization in heterogeneous environments", School of Science and Technology, Middlesex University, August 2014, PhD Thesis.
• G. Mapp, F. Katsriku, M. Aiash, N. Chinnam, R. Lopes, E. Moreira, R. P. Vanni, and M. Augusto, “Exploiting Location and Contextual Information to Develop a Comprehensive Framework for Proactive Handover in Heterogeneous Environments" Journal of Computer Networks and Communications, pp. 1-17, 2012.
• G. Mapp, F. Sardis and J. Crowcroft, “Developing an implementation framework for the Future Internet using the Y-Comm architecture SDN and NFV", IEEE NetSoft Conference and Workshops (NetSoft), Seoul, pp. 43-47, 2016.
• X., Dionysis, “Handover decision for small cells: Algorithms, lessons learned and simulation study", Computer Networks, 100, 2016, pp. 64-74.
• F. Shaikh, Intelligent proactive handover and QoS management using TBVH in heterogeneous networks [Ph.D. thesis], School of Engineering and Information Sciences, Middlesex University, January 2010.
• Y,Kirsal, “Analytical Modelling of a New Handover Algorithm for Improve Allocation of Resources in Highly Mobile Environments", International Journal of Computers Communications and Control, 2016, 11, 6, pp. 755-770.
• D. Cottingham, I. Wassell, and R. Harle, “Performance of IEEE 802.11a in vehicular contexts", In Proceedings of IEEE 65th Vehicular Technology Conference, 2007, pp. 854-858.
• NGMN Alliance, “5G White Paper”, February 2015.
• A. Ghosh, V. V. Paranthaman, G. Mapp, O. Gemikonakli, J. Loo, "Enabling seamless V2I communications: toward developing cooperative automotive applications in VANET systems", IEEE Commun. Mag., vol. 53, no. 12, pp. 80-86, 2015.
• G. Mapp, F. Shaik, D. Cottingham, J. Crowcroft, J. Baliosian, “Y-Comm: a global architecture for heterogeneous networking", In Proceedings of the 3rd international conference on Wireless internet (WICON '07). ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, Belgium, Article 22, 5 pages.
• D. Bruneo, “A stochastic model to investigate data center performance and QoS in iaas cloud computing systems", IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 3, 2014, pp. 560-569.
• J. Vilaplana, F. Solsona, I. Teixid, J. Mateo, F. Abella, and J. Rius, “A queuing theory model for cloud computing", The Journal of Supercomputing, vol. 69, no. 1, 2014, pp. 492–507, 2014.
• R. Ghosh, F. Longo, V. K. Naik, and K. S. Trivedi, “Modeling and performance analysis of large scale iaas clouds", Future Generation Computer Systems, vol. 29, no. 5, 2013, pp. 1216-1234.
• P. Vidales, J. Baliosian, J. Serrat, G. Mapp, F. Stajano and A. Hopper, “Autonomic system for mobility support in 4G networks", IEEE Journal on Selected Areas in Communications, vol. 23, no. 12, pp. 2288-2304, Dec. 2005.
• Y. Kirsal, E. Ever, A. Kocyigit, O. Gemikonakli, G. Mapp, “Modeling and analysis of vertical handover in highly mobile environments", The Journal of Supercomputing, 71, pp. 4352-4380, 2015.
• R. Guillaume, A. G. Andres, A. Ben, “LTE Advanced and Next Generation Wireless Networks Channel Modeling and Propagation", John Wiley and Sons Ltd. 2013.
• Building an Intelligent Transport Information Platform for Smart Cities, Report, http://www.vanet.mdx.ac.uk/, 2016. Accessed: 2017-09-29.
• Building a Connected Vehicle Testbed to study the development and deployment of C-ITS in the UK, http://www.its-ukreview.org/building-a-connected-vehicle-testbed-to-study-the-development-and-deployment-of-c-its-in-the-uk/,2016, Accessed : 2017-09-30.
Primary Language en Computer Science, Information System February 2019 Research Articles Orcid: 0000-0001-7031-1339Author: Yonal Kırsal (Primary Author)Country: Turkey Application Date : March 12, 2018 Acceptance Date : July 31, 2018 Publication Date : February 1, 2019
 Bibtex @research article { saufenbilder404414, journal = {Sakarya University Journal of Science}, issn = {1301-4048}, eissn = {2147-835X}, address = {}, publisher = {Sakarya University}, year = {2019}, volume = {23}, pages = {22 - 34}, doi = {10.16984/saufenbilder.404414}, title = {Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks}, key = {cite}, author = {Kırsal, Yonal} } APA Kırsal, Y . (2019). Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks. Sakarya University Journal of Science , 23 (1) , 22-34 . DOI: 10.16984/saufenbilder.404414 MLA Kırsal, Y . "Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks". Sakarya University Journal of Science 23 (2019 ): 22-34 Chicago Kırsal, Y . "Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks". Sakarya University Journal of Science 23 (2019 ): 22-34 RIS TY - JOUR T1 - Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks AU - Yonal Kırsal Y1 - 2019 PY - 2019 N1 - doi: 10.16984/saufenbilder.404414 DO - 10.16984/saufenbilder.404414 T2 - Sakarya University Journal of Science JF - Journal JO - JOR SP - 22 EP - 34 VL - 23 IS - 1 SN - 1301-4048-2147-835X M3 - doi: 10.16984/saufenbilder.404414 UR - https://doi.org/10.16984/saufenbilder.404414 Y2 - 2018 ER - EndNote %0 Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks %A Yonal Kırsal %T Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks %D 2019 %J Sakarya University Journal of Science %P 1301-4048-2147-835X %V 23 %N 1 %R doi: 10.16984/saufenbilder.404414 %U 10.16984/saufenbilder.404414 ISNAD Kırsal, Yonal . "Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks". Sakarya University Journal of Science 23 / 1 (February 2019): 22-34 . https://doi.org/10.16984/saufenbilder.404414 AMA Kırsal Y . Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks. SAUJS. 2019; 23(1): 22-34. Vancouver Kırsal Y . Exploring Analytical Model to Performance Optimization for Mobile Application Using End-to-End Network Slicing in Cloud-Based Vehicular Networks. Sakarya University Journal of Science. 2019; 23(1): 34-22.