Skip to main content

An Enhanced Node Repeatable Virtual Network Embedding Algorithm Based PSO Solution

  • Conference paper
Book cover Advances in Swarm Intelligence (ICSI 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7928))

Included in the following conference series:

  • 2774 Accesses

Abstract

The major challenge in network virtualization is the efficient mapping of virtual nodes and links of virtual networks onto substrate network. In this paper we propose ENR-VNE, an algorithm which can achieves high VN request acceptance ratio in the same time. We modeled VNE problem as an optimal problem to minimize the substrate resource utilization degree. Leverage the advantage of ram data switch between virtual machines host on same physical machine instead of using physical link bandwidth, our algorithm allow repeatable node mapping for same VN. Because the initial value of PSO algorithm is crucial, we present an initial position assign method to accelerate convergence and achieve more repeatable features. Simulation results show that our algorithm achieve high acceptance ratio on same substrate network than un-repeatable approach and initial position assign method can further improve the algorithm performance.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Mosharaf, C., Muntasir, R.R., Raouf, B.: ViNEYard: Virtual Network Embedding Algorithms With Coordinated Node and Link Mapping. J. IEEE/ACM Transactions on Networking 20(1), 206–219 (2011)

    Google Scholar 

  2. Wang, J., Wright, K.-L., Gopalan, K.: XenLoop: a ransparent high performance inter-vm network loopback. In: HPDC 2008: 17th IEEE International Symposium on High Performance Distributed Computing, pp. 109–118. IEEE Press, Boston (2008)

    Google Scholar 

  3. Ines, H., Wajdi, L., Djamal, Z.: A distributed virtual network mapping algorithm. In: IEEE ICC 2008, pp. 5634–5640. IEEE Press, Beijing (2008)

    Google Scholar 

  4. Jens, L., Holger, K.: A virtual network mapping algorithm based on subgraph isomorphism detection. In: VISA 2009, pp. 81–88. ACM, New York (2009)

    Google Scholar 

  5. Minlan, Y., Yung, Y., Jennifer, R., Mung, C.: Rethinking virtual network embedding: substrate support for path splitting and migration. J. ACM SIGCOMM CCR 38(2), 17–29 (2008)

    Article  Google Scholar 

  6. Yong, Z., Mostafa, A.: Algorithms for assigning substrate network resources to virtual network components. In: 25th IEEE International Conference on Computer Communications, INFOCOM 2006, pp. 1–12. IEEE Press, Barcelona (2006)

    Google Scholar 

  7. Xiang, C., Zhong, B.Z., Sen, S., Kai, S., Fang, C.Y.: Virtual Network Embedding Based on Particle Swarm Optimization. J. Acta Electronica Sinica 39(10), 2240–2244 (2011)

    Google Scholar 

  8. CloudSim, A.: Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services, http://www.cloudbus.org/cloudsim/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, C., Yuan, Y., Yang, Y., Hu, X. (2013). An Enhanced Node Repeatable Virtual Network Embedding Algorithm Based PSO Solution. In: Tan, Y., Shi, Y., Mo, H. (eds) Advances in Swarm Intelligence. ICSI 2013. Lecture Notes in Computer Science, vol 7928. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38703-6_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-38703-6_25

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38702-9

  • Online ISBN: 978-3-642-38703-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics