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A Survey of Different Storage Methods for NGN Mobile Networks: Storage Capacity, Security and Response Time

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Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 242))

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Abstract

Following the considerable evolution of new technologies, as well as the computerization of different exchanges and gadgets in lot of areas lately, and with the appearance of the new generation 5G, the quantity of connected devices will increase in expanded way. Similarly, the creation of data in its different structures will be important. Consequently, the value of studying the distinctive storage methods. This paper introduces the different stockpiling techniques, which enables average readers to have an overview of the distinctive methods including the definition and architecture.

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References

  1. Elhoseny, M., Abdelaziz, A., Salama, A., Riad, A.M., Sangaiah, A.K., Muhammad, K.: A hybrid model of internet of things and cloud computing to manage big data in health services applications. Futur. Gener. Comput. 86, 1383–1394 (2018)

    Article  Google Scholar 

  2. Elhoseny, M., Shankar, K., Lakshmanaprabu, S.K., Maseleno, A., Arunkumar, N.: Hybrid optimization with cryptography encryption for medical image security in Internet of Things. Neural Comput. Appl. 1–15 (2018). https://doi.org/10.1007/s00521-018-3801-x

  3. Hurrah, N.N., Parah, S.A., Loan, N.A., Sheikh, J.A., Elhoseny, M., Muhammad, K.: Dual watermarking framework for privacy protection and content authentication of multimedia. Futur. Gener. Comput. Syst. 94, 654–667 (2019)

    Article  Google Scholar 

  4. Muhammad, K., Khan, S., Elhoseny, M., Ahmed, S.H., Baik, S.W.: Efficient fire detection for uncertain surveillance environment. IEEE Trans. Ind. Inform. (2019)

    Google Scholar 

  5. Boveiri, H.R., Elhoseny, M.: A-COA: an adaptive cuckoo optimization algorithm for continuous and combinatorial optimization. Neural Comput. Appl. DOI:https://doi.org/10.1007/s00521-018-3928-9 (First Online: 15 December 2018)

  6. Rao, H., Shi, X., Rodrigue, A.K., Feng, J., Xia, Y., Elhoseny, M., Yuan, X., Gu, L.: Feature selection based on artificial bee colony and gradient boosting decision tree. Appl. Soft Comput. DOI:https://doi.org/10.1016/j.asoc.2018.10.036 (Online: 5 November 2018)

  7. Rappaport, T.S., et al.: Millimeter wave mobile communications for 5G cellular: it will work! IEEE Access 1, 335–349 (2013)

    Article  Google Scholar 

  8. Myung, H.G., Goodman, D.J.: Single Carrier FDMA: A New Air Interface for Long Term Evolution. Wiley, Chichester, UK (2008)

    Book  Google Scholar 

  9. Jindal, N., Goldsmith, A.: Dirty-paper coding versus TDMA for MIMO broadcast channels. IEEE Trans. Inf. Theory 51(5), 1783–1794 (2005)

    Article  MathSciNet  Google Scholar 

  10. G PPP Architecture Working Group view on 5G Architecture. WP-July-2016

    Google Scholar 

  11. GSMA, 5G, the Internet of Things (IoT) and Wearable Devices. September-2017

    Google Scholar 

  12. Jungnickel, V., et al.: The role of small cells, coordinated multipoint, and massive MIMO in 5G. IEEE Commun. Mag. 52(5), 44–51 (2014)

    Article  Google Scholar 

  13. mobicom10-duplex.pdf

    Google Scholar 

  14. Armbrust, M., et al.: A view of cloud computing. Commun. ACM 53(4), 50 (2010)

    Article  Google Scholar 

  15. Jadeja, Y., Modi, K.: Cloud computing - concepts, architecture and challenges. In: 2012 International Conference on Computing, Electronics and Electrical Technologies (ICCEET), Nagercoil, Tamil Nadu, India, pp. 877–880 (2012)

    Google Scholar 

  16. Rimal, B.P, Choi, E., Lumb, I.: A taxonomy and survey of cloud computing systems. In: 2009 Fifth International Joint Conference on INC, IMS and IDC, Seoul, South Korea, pp. 44–51 (2009)

    Google Scholar 

  17. Mathur, P., Nishchal, N.: Cloud computing: new challenge to the entire computer industry. In: 2010 First International Conference On Parallel, Distributed and Grid Computing (PDGC 2010), Solan, India, pp. 223–228 (2010)

    Google Scholar 

  18. Mathur, P., Nishchal, N.: Cloud computing: new challenge to the entire computer industry (:unav), october 2010 (2010)

    Google Scholar 

  19. Guan, L., Ke, X., Song, M., Song, J.: A survey of research on mobile cloud computing. In: 2011 10th IEEE/ACIS International Conference on Computer and Information Science, Sanya, China, pp. 387–392 (2011)

    Google Scholar 

  20. Satyanarayanan, M., Bahl, P., Caceres, R., Davies, N.: The case for VM-based cloudlets in mobile computing. IEEE Pervasive Comput. 8(4), 14–23 (2009)

    Google Scholar 

  21. Black, M., Edgar, W.: Exploring mobile devices as Grid resources: using an x86 virtual machine to run BOINC on an iPhone. In 2009 10th IEEE/ACM International Conference on Grid Computing, pp. 9–16 (2009)

    Google Scholar 

  22. Ibtissame, K., Yassine, R., Habiba, C.: Real time processing technologies in big data: comparative study. In 2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering (ICPCSI), Chennai, pp. 256–262 (2017)

    Google Scholar 

  23. Paakkonen, J., Hollanti, C., Tirkkonen, O.: Device-to-device data storage for mobile cellular systems. In: 2013 IEEE Globecom Workshops (GC Wkshps), Atlanta, GA, pp. 671–676 (2013)

    Google Scholar 

  24. Sharma, P.P., Navdeti, C.P.: Securing big data hadoop: a review of security issues, threats and solution. Int. J. Comput. Sci. Inf. Technol. 5, 6 (2014)

    Google Scholar 

  25. Gandotra, P., Kumar Jha, R., Jain, S., A survey on device-to-device (D2D) communication: architecture and security issues. J. Netw. Comput. Appl. 78, 9–29 (2017)

    Article  Google Scholar 

  26. Jararweh, Y., Doulat, A., Darabseh, A., Alsmirat, M., Al-Ayyoub, M, Benkhelifa, E.: SDMEC: software defined system for mobile edge computing. In: 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW), Berlin, Germany, pp. 88–93 (2016)

    Google Scholar 

  27. Darabseh, A., Al-Ayyoub, M., Jararweh, Y., Benkhelifa, E., Vouk, M., Rindos, A.: SDStorage: a software defined storage experimental framework. In: 2015 IEEE International Conference on Cloud Engineering, Tempe, AZ, USA, pp. 341–346 (2015)

    Google Scholar 

  28. Christensen, J.H.: Using RESTful web-services and cloud computing to create next generation mobile applications. In: Proceedings of the 24th ACM SIGPLAN Conference Companion on Object Oriented Programming Systems Languages and Applications, New York, NY, USA, pp. 627–634 (2009)

    Google Scholar 

  29. Suo, H., Liu, Z., Wan, J., Zhou, K.: Security and privacy in mobile cloud computing. In: 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC), Sardinia, Italy, pp. 655–659 (2013)

    Google Scholar 

  30. CloudAV: N-Version Antivirus in the Network Cloud

    Google Scholar 

  31. Fernando, N., Loke, S.W., Rahayu,W.: Mobile cloud computing: a survey. Futur. Gener. Comput. Syst. 29(1), 84–106 (2013)

    Article  Google Scholar 

  32. Khan, A.N., Mat Kiah, M.L., Khan, S.U., Madani, S.A.: Towards secure mobile cloud computing: a survey. Futur. Gener. Comput. Syst. 29(5), 1278–1299 (2013)

    Article  Google Scholar 

  33. Darabseh, A., Freris, N.M.: A software defined architecture for cyberphysical systems. In: 2017 Fourth International Conference on Software Defined Systems (SDS), Valencia, Spain, pp. 54–60 (2017)

    Google Scholar 

  34. Burt, J.: Fog computing aims to reduce processing burden of cloud systems. eWeek (2010)

    Google Scholar 

  35. Mobile edge computing, Fog et al.: A survey and analysis of security threats and challenges - ScienceDirect

    Google Scholar 

  36. Shirazi, S.N., Gouglidis, A., Farshad, A., Hutchison, D.: The extended cloud: review and analysis of mobile edge computing and fog from a security and resilience perspective. IEEE J. Sel. Areas Commun. 35(11), 2586–2595 (2017)

    Article  Google Scholar 

  37. Xiao, L., Wan, X., Dai, C., Du, X., Chen, X., Guizani, M.: Security in mobile edge caching with reinforcement learning. IEEE Wirel. Commun. 25(3), 116–122 (2018)

    Article  Google Scholar 

  38. El-Sayed, H., et al.: Edge of things: the big picture on the integration of edge, IoT and the cloud in a distributed computing environment. IEEE Access 6, 1706–1717 (2018)

    Article  Google Scholar 

  39. Abouelmehdi, K., Beni-Hssane, A., Khaloufi, H., Saadi, M.: Big data emerging issues: hadoop security and privacy. In: 2016 5th International Conference on Multimedia Computing and Systems (ICMCS), Marrakech, Morocco, pp. 731–736 (2016)

    Google Scholar 

  40. Adluru, P., Datla, S.S., Zhang, X.: Hadoop eco system for big data security and privacy. In: 2015 Long Island Systems, Applications and Technology, Farmingdale, NY, USA, pp. 1–6 (2015)

    Google Scholar 

  41. Zhang, D.-W., Sun, F.-Q., Cheng, X., Liu, C.: Research on hadoop-based enterprise file cloud storage system. In: 2011 3rd International Conference on Awareness Science and Technology (iCAST), Dalian, China, pp. 434–437 (2011)

    Google Scholar 

  42. Zhou, B., Hu, H., Huang, S.-Q., Chen, H.-H.: Intracluster device-to-device relay algorithm with optimal resource utilization. IEEE Trans. Veh. Technol. 62(5), 2315–2326 (2013)

    Article  Google Scholar 

  43. Feng, D., Lu, L., Yuan-Wu, Y., Li, G.Y., Feng, G., Li, S.: Device-to-device communications underlaying cellular networks. IEEE Trans. Commun. 61(8), 3541–3551 (2013)

    Article  Google Scholar 

  44. Chen, B., Zheng, J., Zhang, Y.: A time division scheduling resource allocation algorithm for D2D communication in cellular networks. In: 2015 IEEE International Conference on Communications (ICC), London, pp. 5422–5428 (2015)

    Google Scholar 

  45. Zheng, J., Chen, B., Zhang, Y.: An adaptive time division scheduling based resource allocation algorithm for D2D communication underlaying cellular networks, (:unav), december 2014 (2014)

    Google Scholar 

  46. Shen, W., Hong, W., Cao, X., Yin, B., Shila, D.M., Cheng, Y.: Secure key establishment for device-to-device communications. In: 2014 IEEE Global Communications Conference, Austin, TX, USA, pp. 336–340 (2014)

    Google Scholar 

  47. Abd-Elrahman, E., Ibn-khedher, H., Afifi, H., Toukabri, T.: Fast group discovery and non-repudiation in D2D communications using IBE. In: 2015 International Wireless Communications and Mobile Computing Conference (IWCMC), Dubrovnik, Croatia, pp. 616–621 (2015)

    Google Scholar 

  48. Jayasinghe, K., Jayasinghe, P., Rajatheva, N., Latva-aho, M.: Physical layer security for relay assisted MIMO D2D communication. In: 2015 IEEE International Conference on Communication Workshop (ICCW), London, United Kingdom, pp. 651–656 (2015)

    Google Scholar 

  49. Zhang, A., Chen, J., Hu, R.Q., Qian, Y.: SeDS: secure data sharing strategy for D2D communication in LTE-advanced networks. IEEE Trans. Veh. Technol. 65(4), 2659–2672 (2016)

    Article  Google Scholar 

  50. Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed file system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), Incline Village, NV, USA, pp. 1–10 (2010)

    Google Scholar 

  51. Liu, H., Eldarrat, F., Alqahtani, H., Reznik, A., de Foy, X., Zhang, Y.: Mobile edge cloud system: architectures, challenges, and approaches. IEEE Syst. J. 12(3), 2495–2508 (2018)

    Article  Google Scholar 

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Authors and Affiliations

  1. Electrical Systems and Telecommunications Engineering Ibn Tofail Science University, Kenitra, Morocco

    Boughanja Manale & Mazri Tomader

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  1. Boughanja Manale
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  2. Mazri Tomader
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Correspondence to Boughanja Manale .

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Editors and Affiliations

  1. Faculty of Computers and Information Sciences, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny

  2. Department of Information Technology, Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

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Manale, B., Tomader, M. (2020). A Survey of Different Storage Methods for NGN Mobile Networks: Storage Capacity, Security and Response Time. In: Elhoseny, M., Hassanien, A. (eds) Emerging Technologies for Connected Internet of Vehicles and Intelligent Transportation System Networks. Studies in Systems, Decision and Control, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-030-22773-9_4

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