Skip to main content
Erschienen in: Wireless Personal Communications 2/2022

23.06.2022

An Efficient Delay Tolerance and Cost-Effective Secure NFV Enabled Multi-casting in Mobile Edge Cloud Networks

verfasst von: Rajasekhar Bandapalle Mulinti, M. Nagendra

Erschienen in: Wireless Personal Communications | Ausgabe 2/2022

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The mobile edge cloud has developed as the main platform to offer low latency network services from the edge of networks for stringent delay necessities of mobile applications. In mobile edge cloud networks, network functions virtualization (NFV) creates the frameworks for building up a new dynamic resource management framework structure to effectively utilize network resources. Delay tolerance NFV-enabled multicast request admissions in a mobile edge-cloud network are explored in this paper to limit request admission delays or maximizing system performance for a group of requests arriving individually. At first, for the cost reduction issue of a single NFV-empowered multicast request admission, the admission cost of each multicast request is assessed, and the Support based graph is constructed. Here, the multicast requests are prioritized dependent on their admission cost. Subsequently, trust and the delay-based local gradient are assessed for the prioritized multicast requests. At long last, delay tolerance NFV multicasting is accomplished by successful (First Come First Serve) FCFS queuing reliant on the assessed local gradient of requests. When compared to existing approaches, the exploratory results show that the proposed methodology is superior in terms of throughput, admission cost, and running time.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literatur
1.
Zurück zum Zitat Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30–39.CrossRef Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30–39.CrossRef
2.
Zurück zum Zitat Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637–646.CrossRef Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016). Edge computing: Vision and challenges. IEEE Internet of Things Journal, 3(5), 637–646.CrossRef
3.
Zurück zum Zitat Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2017). Fog computing: A platform for internet of things and analytics. In Big data and internet of things: A roadmap for smart environments (pp. 169–186). Springer. Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2017). Fog computing: A platform for internet of things and analytics. In Big data and internet of things: A roadmap for smart environments (pp. 169–186). Springer.
4.
Zurück zum Zitat Mach, P., & Becvar, Z. (2017). Mobile edge computing: A survey on architecture and computation offloading. IEEE Communications Surveys & Tutorials, 19(3), 1628–1656.CrossRef Mach, P., & Becvar, Z. (2017). Mobile edge computing: A survey on architecture and computation offloading. IEEE Communications Surveys & Tutorials, 19(3), 1628–1656.CrossRef
5.
Zurück zum Zitat Bouet, M., & Conan, V. (2018). Mobile edge computing resources optimization: A geo-clustering approach. IEEE Transactions on Network and Service Management, 15(2), 787–796.CrossRef Bouet, M., & Conan, V. (2018). Mobile edge computing resources optimization: A geo-clustering approach. IEEE Transactions on Network and Service Management, 15(2), 787–796.CrossRef
6.
Zurück zum Zitat Genez, T. A. L., Tso, F. P., & Cui, L. (2018). Latency-aware joint virtual machine and policy consolidation for mobile edge computing. In 2018 15th IEEE annual consumer communications & networking conference (CCNC) (pp. 1–6). IEEE. Genez, T. A. L., Tso, F. P., & Cui, L. (2018). Latency-aware joint virtual machine and policy consolidation for mobile edge computing. In 2018 15th IEEE annual consumer communications & networking conference (CCNC) (pp. 1–6). IEEE.
7.
Zurück zum Zitat Ghai, K. S., Choudhury, S., & Yassine, A. (2019). A stable matching based algorithm to minimize the end-to-end latency of edge NFV. Procedia Computer Science, 151, 377–384.CrossRef Ghai, K. S., Choudhury, S., & Yassine, A. (2019). A stable matching based algorithm to minimize the end-to-end latency of edge NFV. Procedia Computer Science, 151, 377–384.CrossRef
8.
Zurück zum Zitat Han, Bo., Gopalakrishnan, V., Ji, L., & Lee, S. (2015). Network function virtualization: Challenges and opportunities for innovations. IEEE Communications Magazine, 53(2), 90–97.CrossRef Han, Bo., Gopalakrishnan, V., Ji, L., & Lee, S. (2015). Network function virtualization: Challenges and opportunities for innovations. IEEE Communications Magazine, 53(2), 90–97.CrossRef
9.
Zurück zum Zitat Reznik, A., Murillo, L. M. C., Fang, Y., Featherstone, W., Filippou, M., Fontes, F., Giust, F., et al. (2018). Cloud RAN and MEC: A perfect pairing. ETSI MEC, 23, 25. Reznik, A., Murillo, L. M. C., Fang, Y., Featherstone, W., Filippou, M., Fontes, F., Giust, F., et al. (2018). Cloud RAN and MEC: A perfect pairing. ETSI MEC, 23, 25.
10.
Zurück zum Zitat Faraci, G., & Schembra, G. (2015). An analytical model to design and manage a green SDN/NFV CPE node. IEEE Transactions on Network and Service Management, 12(3), 435–450.CrossRef Faraci, G., & Schembra, G. (2015). An analytical model to design and manage a green SDN/NFV CPE node. IEEE Transactions on Network and Service Management, 12(3), 435–450.CrossRef
11.
Zurück zum Zitat Xu, Z., Zhang, Y., Liang, W., Xia, Q., Rana, O., Galis, A., Wu, G., & Zhou, P. (2019). NFV-enabled multicasting in mobile edge clouds with resource sharing. In Proceedings of the 48th international conference on parallel processing (pp. 1–10). Xu, Z., Zhang, Y., Liang, W., Xia, Q., Rana, O., Galis, A., Wu, G., & Zhou, P. (2019). NFV-enabled multicasting in mobile edge clouds with resource sharing. In Proceedings of the 48th international conference on parallel processing (pp. 1–10).
12.
Zurück zum Zitat Gu, S., Li, Z., Wu, C., & Huang, C. (2016). An efficient auction mechanism for service chains in the NFV market. In IEEE INFOCOM 2016—The 35th annual IEEE international conference on computer communications (pp. 1–9). IEEE. Gu, S., Li, Z., Wu, C., & Huang, C. (2016). An efficient auction mechanism for service chains in the NFV market. In IEEE INFOCOM 2016—The 35th annual IEEE international conference on computer communications (pp. 1–9). IEEE.
13.
Zurück zum Zitat Huang, M., Liang, W., Xu, Z., Jia, M., & Guo, S. (2016). Throughput maximization in software-defined networks with consolidated middleboxes. In: 2016 IEEE 41st conference on local computer networks (LCN) (pp. 298–306). IEEE. Huang, M., Liang, W., Xu, Z., Jia, M., & Guo, S. (2016). Throughput maximization in software-defined networks with consolidated middleboxes. In: 2016 IEEE 41st conference on local computer networks (LCN) (pp. 298–306). IEEE.
14.
Zurück zum Zitat Ma, Y., Liang, W., & Xu, Z. (2018). Online revenue maximization in NFV-enabled SDNs. In 2018 IEEE international conference on communications (ICC) (pp. 1–7). IEEE. Ma, Y., Liang, W., & Xu, Z. (2018). Online revenue maximization in NFV-enabled SDNs. In 2018 IEEE international conference on communications (ICC) (pp. 1–7). IEEE.
15.
Zurück zum Zitat Mamatas, L., Clayman, S., & Galis, A. (2016). Information exchange management as a service for network function virtualization environments. IEEE Transactions on Network and Service Management, 13(3), 564–577.CrossRef Mamatas, L., Clayman, S., & Galis, A. (2016). Information exchange management as a service for network function virtualization environments. IEEE Transactions on Network and Service Management, 13(3), 564–577.CrossRef
16.
Zurück zum Zitat 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} symposium on networked systems design and implementation ({NSDI} 14) (pp. 459–473). 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} symposium on networked systems design and implementation ({NSDI} 14) (pp. 459–473).
17.
Zurück zum Zitat Qu, L., Assi, C., & Shaban, K. (2016). Delay-aware scheduling and resource optimization with network function virtualization. IEEE Transactions on Communications, 64(9), 3746–3758.CrossRef Qu, L., Assi, C., & Shaban, K. (2016). Delay-aware scheduling and resource optimization with network function virtualization. IEEE Transactions on Communications, 64(9), 3746–3758.CrossRef
18.
Zurück zum Zitat Wang, P., Lan, J., Zhang, X., Yuxiang, Hu., & Chen, S. (2015). Dynamic function composition for network service chain: Model and optimization. Computer Networks, 92, 408–418.CrossRef Wang, P., Lan, J., Zhang, X., Yuxiang, Hu., & Chen, S. (2015). Dynamic function composition for network service chain: Model and optimization. Computer Networks, 92, 408–418.CrossRef
19.
Zurück zum Zitat Cheng, G., Chen, H., Hongchao, Hu., Wang, Z., & Lan, J. (2015). Enabling network function combination via service chain instantiation. Computer Networks, 92, 396–407.CrossRef Cheng, G., Chen, H., Hongchao, Hu., Wang, Z., & Lan, J. (2015). Enabling network function combination via service chain instantiation. Computer Networks, 92, 396–407.CrossRef
20.
Zurück zum Zitat Li, Y., Phan, L. T. X., & Loo, B. T.: Network functions virtualization with soft real-time guarantees. In IEEE INFOCOM 2016—The 35th annual IEEE international conference on computer communications (pp. 1–9). IEEE. Li, Y., Phan, L. T. X., & Loo, B. T.: Network functions virtualization with soft real-time guarantees. In IEEE INFOCOM 2016—The 35th annual IEEE international conference on computer communications (pp. 1–9). IEEE.
21.
Zurück zum Zitat He, S., Ren, Ju., Wang, J., Huang, Y., Zhang, Y., Zhuang, W., & Shen, S. (2019). Cloud-edge coordinated processing: Low-latency multicasting transmission. IEEE Journal on Selected Areas in Communications, 37(5), 1144–1158.CrossRef He, S., Ren, Ju., Wang, J., Huang, Y., Zhang, Y., Zhuang, W., & Shen, S. (2019). Cloud-edge coordinated processing: Low-latency multicasting transmission. IEEE Journal on Selected Areas in Communications, 37(5), 1144–1158.CrossRef
22.
Zurück zum Zitat Li, D., Hong, P., Xue, K., & Pei, J. (2019). Virtual network function placement and resource optimization in NFV and edge computing enabled networks. Computer Networks, 152, 12–24.CrossRef Li, D., Hong, P., Xue, K., & Pei, J. (2019). Virtual network function placement and resource optimization in NFV and edge computing enabled networks. Computer Networks, 152, 12–24.CrossRef
23.
Zurück zum Zitat Fazea, Y., Mohammed, F., Madi, M., & Alkahtani, A. A. (2021). Review on network function virtualization in information-centric networking. In 2021 International conference of technology, science and administration (ICTSA) (pp. 1–6). IEEE. Fazea, Y., Mohammed, F., Madi, M., & Alkahtani, A. A. (2021). Review on network function virtualization in information-centric networking. In 2021 International conference of technology, science and administration (ICTSA) (pp. 1–6). IEEE.
24.
Zurück zum Zitat Kaur, K., Mangat, V., & Kumar, K. (2020). Architectural framework, research issues and challenges of network function virtualization. In 2020 8th international conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO) (pp. 474–478). IEEE. Kaur, K., Mangat, V., & Kumar, K. (2020). Architectural framework, research issues and challenges of network function virtualization. In 2020 8th international conference on reliability, infocom technologies and optimization (trends and future directions) (ICRITO) (pp. 474–478). IEEE.
25.
Zurück zum Zitat Yang, S., Li, F., Trajanovski, S., Yahyapour, R., & Fu, X. (2020). Recent advances of resource allocation in network function virtualization. IEEE Transactions on Parallel and Distributed Systems., 32(2), 295–314.CrossRef Yang, S., Li, F., Trajanovski, S., Yahyapour, R., & Fu, X. (2020). Recent advances of resource allocation in network function virtualization. IEEE Transactions on Parallel and Distributed Systems., 32(2), 295–314.CrossRef
26.
Zurück zum Zitat Zhang, Y., & Zhang, Z. L. (2020). Enhancing performance, security, and management in network function virtualization. In 2020 IEEE conference on network function virtualization and software defined networks (NFV-SDN) (pp. 126–131). IEEE. Zhang, Y., & Zhang, Z. L. (2020). Enhancing performance, security, and management in network function virtualization. In 2020 IEEE conference on network function virtualization and software defined networks (NFV-SDN) (pp. 126–131). IEEE.
27.
Zurück zum Zitat Ma, Y., Liang, W., Wu, J., & Xu, Z. (2019). Throughput Maximization of NFV-enabled multicasting in mobile edge cloud networks. IEEE Transactions on Parallel and Distributed Systems. Ma, Y., Liang, W., Wu, J., & Xu, Z. (2019). Throughput Maximization of NFV-enabled multicasting in mobile edge cloud networks. IEEE Transactions on Parallel and Distributed Systems.
28.
Zurück zum Zitat Muhammad, A., Sorkhoh, I., Long, Qu., & Assi, C. (2021). Delay-sensitive multi-source multicast resource optimization in NFV-enabled networks: A column generation approach. IEEE Transactions on Network and Service Management, 18(1), 286–300.CrossRef Muhammad, A., Sorkhoh, I., Long, Qu., & Assi, C. (2021). Delay-sensitive multi-source multicast resource optimization in NFV-enabled networks: A column generation approach. IEEE Transactions on Network and Service Management, 18(1), 286–300.CrossRef
Metadaten
Titel
An Efficient Delay Tolerance and Cost-Effective Secure NFV Enabled Multi-casting in Mobile Edge Cloud Networks
verfasst von
Rajasekhar Bandapalle Mulinti
M. Nagendra
Publikationsdatum
23.06.2022
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 2/2022
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-022-09824-6

Weitere Artikel der Ausgabe 2/2022

Wireless Personal Communications 2/2022 Zur Ausgabe

Neuer Inhalt