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A novel network virtualization based on data analytics in connected environment

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Abstract

Big data analytics is a growing trend for network and service management. Some approaches such as statistical analysis, data mining and machine learning have become promising techniques to improve operations and management of information technology systems and networks. In this paper, we introduce a novel approach for network management in terms of abnormality detection based on data analytics. Particularly, the main research focuses on how the network configuration can be automatically and adaptively decided, given various dynamic contexts (e.g., network interference, heterogeneity and so on). Specifically, we design a context-based data-driven framework for network operation in connected environment which includes three layer architecture: (i) network entity layer; (ii) complex semantic analytics layer and (iii) action provisioning layer. A case study on interference-based abnormal detection for connected vehicle explains more detail about our work.

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References

  • Bari MF, Boutaba R, Esteves RP, Granville LZ, Podlesny M, Rabbani MG, Zhang Q, Zhani MF (2013) Data center network virtualization: a survey. IEEE Commun Surv Tutor 15(2):909–928

    Article  Google Scholar 

  • Bhargav-Spantzel A, Squicciarini AC, Bertino E (2007) Trust negotiation in identity management. IEEE Secur Priv 5(2):55–63

    Article  Google Scholar 

  • Bhuyan MH, Bhattacharyya DK, Kalita JK (2014) Network anomaly detection: methods, systems and tools. IEEE Commun Surv Tutor 16(1):303–336

    Article  Google Scholar 

  • Bui KHN, Jung JJ (2018a) Cooperative game-theoretic approach to traffic flow optimization for multiple intersections. Comput Electr Eng 71:1012–1024

    Article  Google Scholar 

  • Bui KHN, Jung JJ (2018b) Internet of agents framework for connected vehicles: a case study on distributed traffic control system. J Parallel Distrib Comput 116:89–95

    Article  Google Scholar 

  • Bui KHN, Camacho D, Jung JE (2017) Real-time traffic flow management based on inter-object communication: a case study at intersection. Mobile Netw Appl 22(4):613–624

    Article  Google Scholar 

  • Bui KHN, Jung JE, Camacho D (2017) Game theoretic approach on real-time decision making for iot-based traffic light control. Concurr Comput Pract Exp 29(11):e4077

    Article  Google Scholar 

  • Bui KHN, Jung JJ, Camacho D (2018) Consensual negotiation-based decision making for connected appliances in smart home management systems. Sensors 18(7):2206

    Article  Google Scholar 

  • Elkano M, Galar M, Sanz JA, Bustince H (2016) Fuzzy rule-based classification systems for multi-class problems using binary decomposition strategies: on the influence of n-dimensional overlap functions in the fuzzy reasoning method. Inform Sci 332:94–114

    Article  Google Scholar 

  • Fan B, Leng S, Yang K (2016) A dynamic bandwidth allocation algorithm in mobile networks with big data of users and networks. IEEE Netw 30(1):6–10

    Article  Google Scholar 

  • Fangchun Y, Shangguang W, Jinglin L, Zhihan L, Qibo S (2014) An overview of internet of vehicles. China Commun 11(10):1–15

    Google Scholar 

  • Ghazal A, Wang C, Ai B, Yuan D, Haas H (2015) A nonstationary wideband MIMO channel model for high-mobility intelligent transportation systems. IEEE Trans Intell Transp Syst 16(2):885–897

    Google Scholar 

  • Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of things (IoT): a vision, architectural elements, and future directions. Future Gener Comput Syst 29(7):1645–1660

    Article  Google Scholar 

  • Gupta A, Jha RK (2015) A survey of 5g network: architecture and emerging technologies. IEEE Access 3:1206–1232

    Article  Google Scholar 

  • Haddadi F, Zincir-Heywood AN (2017) Botnet behaviour analysis: how would a data analytics-based system with minimum a priori information perform? Int J Netw Manag 27(4):1–19

    Article  Google Scholar 

  • Hu C, Li H, Jiang Y, Cheng Y, Heegaard PE (2016) Deep semantics inspection over big network data at wire speed. IEEE Netw 30(1):18–23

    Article  Google Scholar 

  • Iwamura M, Etemad K, Fong M, Nory R, Love R (2010) Carrier aggregation framework in 3g pp lte-advanced (wimax/lte update). IEEE Commun Mag 48(8):60–67

    Article  Google Scholar 

  • Karatepe IA, Zeydan E (2014) Anomaly detection in cellular network data using big data analytics. In: Proceedings of international conference on European wireless (EW), p 1–5

  • Kaur N, Sood SK (2017) Dynamic resource allocation for big data streams based on data characteristics (5vs). Int J Netw Manag 27(4):1–16

    Google Scholar 

  • Kaur R, Kaur N, Sood SK (2017) Security in iot network based on stochastic game net model. Int J Netw Manag 27(4):1–19

    Google Scholar 

  • Kiran P, Jibukumar M, Premkumar C (2016) Resource allocation optimization in lte-a/5g networks using big data analytics. In: Proceedings of international conference on information networking (ICOIN), pp 254–259

  • Lee O, Hoang LN, Jung JE, Um T, Lee H (2017) Towards ontological approach on trust-aware ambient services. IEEE Access 5:1589–1599

    Article  Google Scholar 

  • Liang C, Yu FR (2015) Wireless network virtualization: a survey, some research issues and challenges. IEEE Commun Surv Tutor 17(1):358–380

    Article  Google Scholar 

  • Liang C, Yu FR, Zhang X (2015) Information-centric network function virtualization over 5g mobile wireless networks. IEEE Netw 29(3):68–74

    Article  Google Scholar 

  • Lopez LIB, Vidal JM, Villalba LJG (2018) Orchestration of use-case driven analytics in 5g scenarios. J Ambient Intell Humaniz Comput 9(4):1097–1117

    Article  Google Scholar 

  • Lu N, Cheng N, Zhang N, Shen X, Mark JW (2014) Connected vehicles: solutions and challenges. IEEE Internet Things J 1(4):289–299

    Article  Google Scholar 

  • Miorandi D, Sicari S, Pellegrini FD, Chlamtac I (2012) Internet of things: vision, applications and research challenges. Ad Hoc Netw 10(7):1497–1516

    Article  Google Scholar 

  • Palmieri F, Fiore U, Castiglione A (2014) A distributed approach to network anomaly detection based on independent component analysis. Concurr Comput Pract Exp

  • Pyun S, Lee W, Cho D (2016) Resource allocation for vehicle-to-infrastructure communication using directional transmission. IEEE Trans Intell Transp Syst 17(4):1183–1188

    Article  Google Scholar 

  • Shiomoto K (2013) Applications of big data analytics technologies for traffic and network management data–gaining useful insights from big data of traffic and network management. NTT Tech Rev 11(11):1–6

    Google Scholar 

  • Sood K, Yu S, Xiang Y (2016) Software-defined wireless networking opportunities and challenges for internet-of-things: a review. IEEE Internet Things J 3(4):453–463

    Article  Google Scholar 

  • Stai E, Karyotis V, Papavassiliou S (2016) A hyperbolic space analytics framework for big network data and their applications. IEEE Netw 30(1):11–17

    Article  Google Scholar 

  • Wang Y, Li P, Jiao L, Su Z, Cheng N, Shen XS, Zhang P (2017) A data-driven architecture for personalized qoe management in 5g wireless networks. IEEE Wirel Commun 24(1):102–110

    Article  Google Scholar 

  • Wu Z, Yang K, Yang J, Cao Y, Gan Y (2018) Energy-efficiency-oriented scheduling in smart manufacturing. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-018-1022-x

    Article  Google Scholar 

  • Yao H, Qiu C, Fang C, Chen X, Yu FR (2016) A novel framework of data-driven networking. IEEE Access 4:9066–9072

    Article  Google Scholar 

  • Yu GJ, Bui KHN (2016) A novel downlink interference management mechanism for two-tier ofdma femtocell networks. J Adv Comput Netw 4(2):80–85

    Article  Google Scholar 

  • Zanella A, Bui N, Castellani A, Vangelista L, Zorzi M (2014) Internet of things for smart cities. IEEE Internet Things J 1(1):22–32

    Article  Google Scholar 

  • Zhang N, Yang P, Ren J, Chen D, Yu L, Shen X (2018) Synergy of big data and 5g wireless networks: opportunities, approaches, and challenges. IEEE Wirel Commun 25(1):12–18

    Article  Google Scholar 

  • Zhang Q, Xu D (2018) Security authentication technology based on dynamic bayesian network in internet of things. J Ambient Intell Humaniz Comput. https://doi.org/10.1007/s12652-018-0949-2

  • Zheng K, Yang Z, Zhang K, Chatzimisios P, Yang K, Xiang W (2016) Big data-driven optimization for mobile networks toward 5g. IEEE Netw 30(1):44–51

    Article  Google Scholar 

  • Zoha A, Saeed A, Imran A, Imran MA, Abu-Dayya A (2015) Data-driven analytics for automated cell outage detection in self-organizing networks. In: Proceedings of international conference on the design of reliable communication networks (DRCN), pp 203–210

  • Zorzi M, Gluhak A, Lange S, Bassi A (2010) From today’s intranet of things to a future internet of things: a wireless- and mobility-related view. IEEE Wirel Commun 17(6):44–51

    Article  Google Scholar 

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Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIP) (NRF-2017R1A41015675).

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Authors and Affiliations

  1. Department of Computer Engineering, Chung-Ang University, Seoul, South Korea

    Khac-Hoai Nam Bui, Sungrae Cho, Jason J. Jung, Joongheon Kim, O-Joun Lee & Woongsoo Na

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  1. Khac-Hoai Nam Bui
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  2. Sungrae Cho
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  3. Jason J. Jung
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  4. Joongheon Kim
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  5. O-Joun Lee
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  6. Woongsoo Na
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Correspondence to Jason J. Jung.

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Bui, KH.N., Cho, S., Jung, J.J. et al. A novel network virtualization based on data analytics in connected environment. J Ambient Intell Human Comput 11, 75–86 (2020). https://doi.org/10.1007/s12652-018-1083-x

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  • DOI: https://doi.org/10.1007/s12652-018-1083-x

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