Nothing Special   »   [go: up one dir, main page]

Skip to main content

Energy Efficient Virtual Network Function Placement in NFV Enabled Networks

  • Conference paper
  • First Online:
Advanced Information Networking and Applications (AINA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 654))

Abstract

SFCs are an ordered collection of virtual network functions (VNFs) that can be used to provide a specific network service. Service providers started using high performance VMs for deploying their VNFs. Deploying these VNFs in an improper and inefficient way can result in huge resource wastage, high power consumption, prolonged delays in services offered by SPs. Since resources are frequently under-utilized and/or over provisioned, limiting the number of active services improves resource utilization while reducing power consumption. In this paper, we formulated the energy efficient VNF placement problem as an Integer Linear Program (ILP) while considering resource utilization. We proposed an algorithm that selects VNF randomly and deploys it on a power efficient physical server with minimum resource wastage. We compared our proposed algorithm with existing baseline approaches. The proposed approach performs better than existing approaches in terms of number of active servers, CPU utilization, memory utilization, power consumption, resource wastage and delay in the network.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Sun, J., Liu, F., Ahmed, M., Li, Y.: Efficient virtual network function placement for poisson arrived traffic. In: ICC 2019-2019 IEEE International Conference on Communications (ICC), pp. 1–7. IEEE (2019)

    Google Scholar 

  2. Chen, M., Sun, Y., Hu, H., Tang, L., Fan, B.: Energy-saving and resource-efficient algorithm for virtual network function placement with network scaling. IEEE Trans. Green Commun. Netw. 5(1), 29–40 (2020)

    Article  Google Scholar 

  3. Yue, Y., Cheng, B., Wang, M., Li, B., Liu, X., Chen, J.: Throughput optimization and delay guarantee VNF placement for mapping SFC requests in NFV-enabled networks. IEEE Trans. Netw. Serv. Manag. 18(4), 4247–4262 (2021)

    Article  Google Scholar 

  4. Nemeth, B., Molner, N., Martinperez, J., Bernardos, C.J., De la Oliva, A., Sonkoly, B.: Delay and reliability-constrained VNF placement on mobile and volatile 5G infrastructure. IEEE Trans. Mob. Comput. 21(9), 3150–3162 (2021)

    Article  Google Scholar 

  5. Liu, L., Guo, S., Liu, G., Yang, Y.: Joint dynamical VNF placement and SFC routing in NFV-enabled SDNs. IEEE Trans. Netw. Serv. Manag. 18(4), 4263–4276 (2021)

    Article  Google Scholar 

  6. Huang, M., Liang, W., Shen, X., Ma, Y., Kan, H.: Reliability-aware virtualized network function services provisioning in mobile edge computing. IEEE Trans. Mob. Comput. 19(11), 2699–2713 (2019)

    Article  Google Scholar 

  7. Gao, T., et al.: Cost-efficient VNF placement and scheduling in public cloud networks. IEEE Trans. Commun. 68(8), 4946–4959 (2020)

    Article  Google Scholar 

  8. Pei, J., Hong, P., Pan, M., Liu, J., Zhou, J.: Optimal VNF placement via deep reinforcement learning in SDN/NFV-enabled networks. IEEE J. Sel. Areas Commun. 38(2), 263–278 (2019)

    Google Scholar 

  9. Tao, X., Ota, K., Dong, M., Qi, H., Li, K.: Cost as performance: VNF placement at the edge. IEEE Netw. Lett. 3(2), 70–74 (2021)

    Article  Google Scholar 

  10. Wang, Y., Huang, C.-K., Shen, S.-H., Chiu, G.-M.: Adaptive placement and routing for service function chains with service deadlines. IEEE Trans. Netw. Serv. Manag. 18(3), 3021–3036 (2021)

    Article  Google Scholar 

  11. Yang, S., Li, F., Yahyapour, R., Fu, X.: Delay-sensitive and availability-aware virtual network function scheduling for NFV. IEEE Trans. Serv. Comput. 15(1), 188–201 (2019)

    Article  Google Scholar 

  12. You, C., et al.: Efficient load balancing for the VNF deployment with placement constraints. In: ICC 2019-2019 IEEE International Conference on Communications (ICC), pp. 1–6 (2019)

    Google Scholar 

  13. Chen, Y., Wu, J.: Flow scheduling of service chain processing in a NFV-based network. IEEE Trans. Netw. Sci. Eng. 8(1), 389–399 (2020)

    Article  MathSciNet  Google Scholar 

  14. Bulkan, U., Iqbal, M., Dagiuklas, T.: Load-balancing for edge QOE-based VNF placement for OTT video streaming. In: 2018 IEEE Globecom Workshops (GC Wkshps), pp. 1–6 (2018)

    Google Scholar 

  15. Yue, Y., Cheng, B., Liu, X., Wang, M., Li, B., Chen, J.: Resource optimization and delay guarantee virtual network function placement for mapping SFC requests in cloud networks. IEEE Trans. Netw. Serv. Manag. 18(2), 1508–1523 (2021)

    Article  Google Scholar 

  16. Carpio, F., Dhahri, S., Jukan, A.: VNF placement with replication for LOAC balancing in NFV networks. In: 2017 IEEE International Conference on Communications (ICC), pp. 1–6 (2017)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sudha Dubba .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dubba, S., Killi, B.R. (2023). Energy Efficient Virtual Network Function Placement in NFV Enabled Networks. In: Barolli, L. (eds) Advanced Information Networking and Applications. AINA 2023. Lecture Notes in Networks and Systems, vol 654. Springer, Cham. https://doi.org/10.1007/978-3-031-28451-9_47

Download citation

Publish with us

Policies and ethics