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RETRACTED ARTICLE: Optimized virtual network function provisioning technique for mobile edge cloud computing

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This article was retracted on 20 June 2022

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Abstract

In the cloud environment, network functions virtualization (NFV) means to diminish cost and disentangle tasks of such system benefits through the virtualization advancements. To authorize organize approaches in NFV-based cloud conditions, arrange administrations are made out of virtualized network functions (VNFs) that are anchored together as service function chains. This fills different needs—cloud farms could be chosen to streamline the rate, the picked presentation constraints could be kept inside as far as possible, and the speed of arrangement can be expanded. Diverse VNFs can be affixed together to shape distinctive administration chains for various system administrations, to meet different client information directing requests. From the service provider perspective, such administrations are normally actualized by VNF examples in a cloudlet system comprising of a lot of server farms and switches. In this paper, a method is proposed for dynamic VNFs provisioning in cloud situations. The technique considers the inertness necessity of various requests for service chain functions. It permits the inactivity delicate requests to diminish the start to finish system interval by using edge assets in the cloud. We assess our technique with enormous scale reenactments that think about practical system topologies and our prototype in a substrate composed of four private data centers and three public clouds. The framework scales well for systems of thousands of switches utilizing differing topologies and enhances the virtual network acceptance ratio and inserting a delay.

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References

  • Baktir AC, Ozgovde A, Ersoy C (2017) How can edge computing benefit from software-defined networking: a survey, use cases and future directions. IEEE Commun Surv Tutor. https://doi.org/10.1109/COMST.2017.2717482

    Article  Google Scholar 

  • Calheiros RN, Ranjan R, Beloglazov A, De Rose CA, Buyya R (2011) CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw Pract Exp 41(1):23–50

    Article  Google Scholar 

  • Cziva R, Anagnostopoulos C, Pezaros DP (2018) Dynamic, latency-optimal vnf placement at the network edge. IEEE INFOCOM, IEEE, Honolulu

    Book  Google Scholar 

  • Dalton M, Schultz D, Adriaens J, Arefin A, Gupta A, Fahs B, Rubinstein D, Zermeno EC, Rubow E, Docauer JA, Alpert J, Ai J, Olson J, DeCabooter K, de Kruijf M, Hua N, Lewis N, Kasinadhuni N, Crepaldi R, Krishnan S, Venkata S, Richter Y, Naik U, Vahdat A, (2018) Andromeda: performance, isolation, and velocity at scale in cloud network virtualization. In: 15th USENIX symposium on networked systems design and implementation (NSDI 18)

  • Firestone D, Putnam A, Mundkur S, Chiou D, Dabagh A, Andrewartha M, Angepat H, Bhanu V, Caulfield A, Chung E, Chandrappa HK, Chaturmohta S, Humphrey M, Lavier J, Lam N, Liu F, Ovtcharov K, Padhye J, Popuri G, Raindel S, Sapre T, Shaw M, Silva G, Sivakumar M, Srivastava N, Verma A, Zuhair Q, Bansal D, Burger D, Vaid K, Maltz DA, Greenberg A (2018) Azure accelerated networking: smartnics in the public cloud. In: 15th USENIX symposium on networked systems design and implementation (NSDI 18)

  • Ghobaei-Arani M, Jabbehdari S, Pourmina MA et al (2016) An autonomic approach for resource provisioning of cloud services. Cluster Comput 19(3):1017–1036

    Article  Google Scholar 

  • Gupta L, Jain R, Erbad A, Bhamare D (2019) The P-ART framework for placement of virtual network services in a multi-cloud environment. Comput Commun 139(2019):103–122. https://doi.org/10.1016/j.comcom.2019.03.003

    Article  Google Scholar 

  • Hédé P, Joubert J, Thornton C, Naughton B, Roldan Ramos J, Chan C, Young V, Jin Tan S, Lynch D, Sprecher N, Musiol T, Manzanares C, Rauschenbach U, Abeta S, Chen L, Shimizu K, Neal A, Cosimini P, Pollard A, Klas G, Patel M, Hu Y (2014) Mobile-edge computing introductory technical white paper. Technical report. mobile-edge computing (MEC) industry initiative. https://www.etsi.org/technologies-clusters/technologies/multi-access-edge-computing/mec-poc. Accessed 2014

  • Huin N, Jaumard B, Giroire F (2018) Optimal network service chain provisioning. IEEE/ACM Trans Netw IEEE/ACM 26(3):1320–1333. https://doi.org/10.1109/TNET.2018.2833815ff.ffhal-01920951f

    Article  MATH  Google Scholar 

  • Koponen T, Amidon K, Balland P, Casado M, Chanda A, Fulton B, Ganichev I, Gross J, Gude N, Ingram P, Jackson E, Lambeth A, Lenglet R, Li S-H, Padmanabhan A, Pettit J, Pfaff B, Ramanathan R, Shenker S, Shieh A, Stribling J, Thakkar P, Wendlandt D, Yip A, Zhang R (2016) Network virtualization in multi-tenant datacenters. In: Proceedings of the 11th USENIX conference on networked systems design and implementation, NSDI’14. USENIX Association, Berkeley, CA, USA, pp 203–216

  • Li Y, Chen M (2015) Software-defined network function virtualization: a survey. IEEE Access 3:2542–2553

    Article  Google Scholar 

  • Liu J, Jiang Z, Kato N (2016) Reliability evaluation for NFV deployment of future mobile broadband networks. IEEE Wirel Commun 23(3):90–96

    Article  Google Scholar 

  • Luizelli MC, Bays LR, Buriol LS, Barcellos MP, Gaspary LP (2015) Piecing together the nfv provisioning puzzle: efficient placement and chaining of virtual network functions. In: 2015 IFIP/IEEE international symposium on integrated network management (IM), pp 98–106

  • Malar ACJ, Kowsigan M, Krishnamoorthy N, Karthick S, Prabhu E, Venkatachalam K (2020) Multi constraints applied energy efficient routing technique based on ant colony optimization used for disaster resilient location detection in mobile ad-hoc network. J Ambient Intell Hum Comput 01767-9

  • Martins J, Ahmed M, Raiciu C, Olteanu V, Honda M, Bifulco R, Huici F (2014) ClickOS and the art of network function virtualization. In: 11th USENIX conference on networked systems design and implementation, Berkeley

  • Mehraghdam S, Keller M, Karl H (2014) Specifying and placing chains of virtual network functions. In: 2014 IEEE 3rd international conference on cloud networking (CloudNet), pp 7–13

  • Moens H, De Turck F (2014) Vnf-p: a model for efficient placement of virtualized network functions. In: 10th international conference on network and service management (CNSM) and workshop, pp 418–423

  • Mohammed AS, Saravana Balaji B, Saleem Basha MS, Asha PN, Venkatachalam K (2020) FCO—fuzzy constraints applied cluster optimization technique for wireless adhoc networks. Comput Commun 154:501–508

    Article  Google Scholar 

  • Rankothge W, Le F, Russo A (2017) Optimizing resource allocation for virtualized network functions in a cloud center using genetic algorithms. IEEE Trans Netw Serv Manag 14(2):343–356

    Article  Google Scholar 

  • Ricci R, Eide E (2014) The CloudLab team, “introducing CloudLab: scientific infrastructure for advancing cloud architectures and applications”. Usenix login 39(6):36–37

    Google Scholar 

  • Sekar V, Egi N, Ratnasamy S, Reiter MK, Shi G (2012) Design and implementation of a consolidated middlebox architecture. In: 9th USENIX conference on networked systems design and implementation, Berkeley

  • Son J, Dastjerdi AV, Calheiros RN, Ji X, Yoon Y, Buyya R (2015) CloudSimSDN: modeling and simulation of software-defined cloud data centers. In: Proceedings of the 15th IEEE/ACM international symposium on cluster, cloud and grid computing, pp 475–484. https://doi.org/10.1109/CCGrid.2015.87

  • Varghese B, Wang N, Barbhuiya S, Kilpatrick P, Nikolopoulos DS (2016) Challenges and Opportunities in Edge Computing, 2016 IEEE International Conference on Smart Cloud (SmartCloud), New York, NY, pp 20–26. https://doi.org/10.1109/SmartCloud.2016.18

  • Wang X, Xing H, Yang H (2019) On multicast-oriented virtual network function placement: a modified genetic algorithm. In: Sun S, Fu M, Xu L (eds) Signal and information processing, networking and computers. ICSINC 2018. Lecture notes in electrical engineering, vol 550, Springer, China

  • Yang B, Chai WK, Pavlou G, Katsaros KV (2016) Seamless support of low latency mobile applications with nfv-enabled mobile edge-cloud. In: 5th IEEE international conference on cloud networking (Cloudnet), pp 136–141. https://doi.org/10.1109/CloudNet.2016.21

  • Yang B, Chai WK, Xu Z, Katsaros KV, Pavlou G (2018) Cost-efficient nfv-enabled mobile edge-cloud for low latency mobile applications. IEEE Trans Netw Serv Manag 15(1):475–488. https://doi.org/10.1109/TNSM.2018.2790081

    Article  Google Scholar 

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Authors and Affiliations

  1. School of Computing, SRM Institute of Science and Technology, Kattankulathur, Kanchipuram, Tamilnadu, India

    R. S. Ponmagal

  2. Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andra Pradesh, India

    S. Karthick

  3. Dept of CSE, Hindusthan College of Engineering and Technology, Coimbatore, Tamilnadu, India

    B. Dhiyanesh

  4. Department of Computer Science and Business Systems, Sri Krishna College of Engineering and Technology, Coimbatore, Tamilnadu, India

    S. Balakrishnan

  5. School of CSE, VIT University Bhopal, Bhopal, India

    K. Venkatachalam

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  1. R. S. Ponmagal
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  2. S. Karthick
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  3. B. Dhiyanesh
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  4. S. Balakrishnan
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  5. K. Venkatachalam
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Correspondence to R. S. Ponmagal.

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This article has been retracted. Please see the retraction notice for more detail: https://doi.org/10.1007/s12652-022-04188-y"

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Ponmagal, R.S., Karthick, S., Dhiyanesh, B. et al. RETRACTED ARTICLE: Optimized virtual network function provisioning technique for mobile edge cloud computing. J Ambient Intell Human Comput 12, 5807–5815 (2021). https://doi.org/10.1007/s12652-020-02122-8

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  • DOI: https://doi.org/10.1007/s12652-020-02122-8

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