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Optimization of Fog Computing Based Radio Access Networks

Published: 26 December 2018 Publication History

Abstract

The fog computing-based radio access networks work at the same time as capable worldview commencing to 5G remote transmitting framework give elevated unearthly along with vitality effectiveness. In center thought obtain complete points to interest of neighborhood radio flag preparing, consistent on radio asset administration and disseminated putting away abilities in edge gadgets, which can diminish the substantial weight on front haul. In light of fog computing, the cooperation radio flag handling (CRSP) cannot exclusively accomplish during the unified baseband unit into cloud radio access networks. Unfasten concern into the condition of software defined networking, network function virtualization and edge caching recognized. This paper attempts to minimize the security issues in the performance of edge cashing by using Markov chain model. Simulation results are able to reduce the bandwidth consumption of F_RAN through edge caching in between remote radio heads and user equipment's.

References

[1]
Abreu, D. Velasquez, K. Curado and M. Monteiro. 2017. A resilient Internet of Things architecture for smart cities. Ann. Telecommun. 19--30.
[2]
Airvana, H. Hawilo, A. Shami, M. Mirahmadi, and R. Asal. 2014. NFV: State of the art, challenges and implementation in next generation mobile networks (vEPC). IEEE Network. 28(6):18--26.
[3]
Arkian, Zhang and Chiang. 2017. Fog and IoTAn Overview of Research Opportunities. IEEE Internet of Things Journal.
[4]
Barbosa, J. Li, M. Peng, A. Cheng, and C. Wang. 2014. Resource allocation optimization for delay-Sensitive traffic in fronthaul constrained cloud radio access networks. to appear in IEEE Systems Journal.
[5]
Beck, S. Woo, E. Jeong, S. Park, J. Lee, S. Ihm, and K. Park. 2016. Comparison of caching strategies in modern cellular backhaul networks in Proc. ACM MobiSys. 319--332.
[6]
Bonomi, F.Milito, R. Zhu, and Addepalli. 2016. Fog Computing and its Role in the Internet of Things. 13--16.
[7]
Fan.J, J. Chen, Y. Du, W. Gao, J. Wu, and Y. Sun. 2013. Geocommunity- based broadcasting for data dissemination in mobile social networks. IEEE Trans. 24(4): 734--743.
[8]
Ivan, M. Zhang, Y. Duan, H. Yun and Z. Zhao. 2013. Semantics-Aware Android Malware Classification Using Weighted Contextual API Dependency Graphs, Proceedings of the ACM SIGSAC. Conference on Computer and Communications Security.1105--1116.
[9]
Peng. M, C.Wang, H.Xiang, J.Li and V.Lau. 2015. Recent Advances in Underlay Heterogeneous Networks: Interference Control Resource Allocation and Self-Srganization. IEEE Communication.Sur. Tut.17 (2):700--729.
[10]
Shanhe and Riman. 2014. Towards programmable enterprise wlans with Odin in Proceedings of the first workshop on Hot topics in software defined networks. IEEE Commun.
[11]
Sawati and Zui. 2015. Software Defined Networking-based Vehicular Adhoc Network with Fog Computing. IFIP/IEEE symposium on interated Network Managment.15--20.
[12]
Truong.N, G. Lee, and Y. Ghamri-Doudane. 2015. Software Defined Networking-based Vehicular Adhoc Network with Fog Computing. IFIP/IEEE symposium on interated Network Managment. 15--20.
[13]
Sun. X, N. Ansari and Q. Fan. 2015. Green Energy Aware Avatar Migration Strategy in Green Cloudlet Networks. IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom). 139--146.
[14]
Bonomi.F, J.Zhu, R.Milito and S.Addepalli. 2012. Fog Computing and Its Role in the Internet of Things. In Workshop on Mobile Cloud Computing, MCC'12, Helsinki, Finland. 13--16.
[15]
Brito, M. Hoque, S.Magedanz, T. Steinke, R. Willner, A. Nehls, D. Keils and O. Schreiner.2017. A service orchestration architecture for fog-enabled infrastructures. In Proceedings of the Second International Conference on fog and Mobile Edge Computing (FMEC). 127--132.
[16]
Brogi, Arkian, H. Reza, Diyanat and A. Pourkhalili. 2017. Fog-based data analytics scheme with cost-efficient resource provisioning for IoTcrowdsensing applications. Journal of Network and Computer Applications. 152--165.
[17]
Cheng.A, C.Wang, J.Li and M.Peng. 2012. Resource Allocation Optimization for Delay-Sensitive Traffic in Fronthaul Constrained Cloud Radio Access Networks. IEEE Systems Journal.
[18]
Chiang, and M. Zhang. 2016. Fog and IoT An overview of research opportunities.IEEE Internet Things.854--864.
[19]
Dragoni.D, N. Giallorenzo, S. Lafuente, A. Mazzara, M. Montesi, F. Mustafin, R. Safina and L. Microservices. 2017. In Present and Ulterior Software Engineering Springer: Cham, Switzerland. 195--216.
[20]
Fan.J, J. Chen, Y. Du, W. Gao, J. Wu, and Y. Sun. 2013. Geocommunity- based broadcasting for data dissemination in mobile social networks. IEEE Trans. 24(4): 734--743.
[21]
Ziu.j.2015. Software defined and virtualized wireless access in future wireless networks: scenarios and standards. IEEE Commun. 50(6): 25--34.

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ICSENT 2018: Proceedings of the 7th International Conference on Software Engineering and New Technologies
December 2018
201 pages
ISBN:9781450361019
DOI:10.1145/3330089
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 December 2018

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Author Tags

  1. 5 G Network
  2. Cloud Computing
  3. Fog Computing
  4. Network Retrieval
  5. Radio Access Network

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