Skip to main content
Log in

Dynamic multimedia transmission control virtual machine using weighted Round-Robin

  • Published:
Cluster Computing Aims and scope Submit manuscript

Abstract

This paper addresses the problem caused by the large amount of traffic generated and dynamically changing traffic patterns and Round-Robin scheduling algorithm applied Weighted to provide the best service to the user requests. Currently the network has a lot of parts, but many problems need to be addressed and changed rapidly. We virtualize the existing network equipment using Openstack to propose a scheme for improving the quality of multimedia transmission services via a scheduling algorithm and contents delivery network techniques. The results of this study demonstrates that a large amount of multimedia that can be used as a future of excellence in real time.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  1. Buyya, R., Beloglazov, A., and Abawajy, J.: ’Energy-efficient management of data center resources for cloud computing: a vision, architectural elements, and open challenges. arXiv:1006.0308 (2010)

  2. Bi, J., et al.: Dynamic provisioning modeling for virtualized multi-tier applications in cloud data center. In: Cloud Computing (CLOUD), pp. 370–377 (2010)

  3. Beloglazov, A. and Buyya, R.: Energy efficient allocation of virtual machines in cloud data centers. In: Cluster, Cloud and Grid Computing (CCGrid), pp. 577–578 (2010)

  4. Beloglazov, A. and Buyya, R.: Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers. In: Proceedings of the 8th International Workshop on Middleware for Grids, Clouds and e-Science, vol. 4 (2010)

  5. Al-Fares, M., et al.: Hedera: dynamic flow scheduling for data center networks. In: NSDI, vol. 10, pp. 19–19 (2010)

  6. Ahn, J., et al.: Dynamic virtual machine scheduling in clouds for architectural shared resources. In: Proceedings of the USENIX Workshop on Hot Topics in Cloud Computing (HotCloud) (2012)

  7. Kliazovich, D., Bouvry, P., Ullah Khan, S.: DENS: data center energy-efficient network-aware scheduling. Cluster Comput. 16(1), 65–75 (2013)

  8. Hu, J., et al.: A scheduling strategy on load balancing of virtual machine resources in cloud computing environment. In: 2010 Third International Symposium on Parallel Architectures, Algorithms and Programming (PAAP), pp. 89–96. IEEE (2010)

  9. Anand, P., Goswami, P.: Survey of cloud sim and virtual machine in cloud computing. IJRIT Int. J. Res. Inf. Technol. 1(7), 186–190 (2014)

    Google Scholar 

  10. Kwak, J.-Y., Nam, J.-S., Kim, D.-H.: A modified dynamic weighted round robin cell scheduling algorithm. ETRI J. 24(5), 360–372 (2002)

    Article  Google Scholar 

  11. Yamada, H.: \({{\rm OPNET}^{\rm TM}}\) modeling of an IP router with scheduling algorithms to implement differentiated services. Proceedings of OPNETWORK, vol. 99 (2002)

  12. Mardini, W., Alfool, M.A.: Modified WRR scheduling algorithm for WiMAX networks. Netw. Protoc. Algorithms 3(2), 24–53 (2011)

    Google Scholar 

  13. Zhong, H., Tao, K. and Zhang, X.: An approach to optimized resource scheduling algorithm for open-source cloud systems. In: ChinaGrid Conference (ChinaGrid), pp. 124–129 (2010)

  14. Sefraoui, O., Aissaoui, M., Eleuldj, M.: OpenStack: toward an open-source solution for cloud computing. Int. J. Comput. Appl. 55(3), 38–42 (2012)

    Google Scholar 

  15. Wuhib, F., Stadler, R. and Lindgren, H.: Dynamic resource allocation with management objectives–Implementation for an OpenStack cloud. In: Network and Service Management (cnsm), pp. 309–315 (2012)

  16. Yang, W., et al.: CloudSimNFV: modeling and simulation of energy-efficient NFV in cloud data centers. arXiv:1509.05875 (2015)

  17. Vakali, A., Pallis, G.: Content delivery networks: status and trends. Internet Comput. 7(6), 68–74 (2003)

    Article  Google Scholar 

  18. Kim, J. et al.: An efficient multimedia transmission control methodology based on NFV. In: 2015 5th International Conference on IT Convergence and Security (ICITCS), pp. 1–4. IEEE (2015)

  19. Lu, Z., Wang, Y., Yang, Y.R.: An analysis and comparison of CDN-P2P-hybrid content delivery system and model. J. Commun. 7(3), 232–245 (2012)

    Article  MathSciNet  Google Scholar 

  20. Um, T.-W., et al.: Dynamic resource allocation and scheduling for cloud-based virtual content delivery networks. ETRI J. 36(2), 197–205 (2014)

    Article  Google Scholar 

  21. Lu, Z., et al.: TRRR: A tree-round-robin-replica content replication algorithm for improving fast replica in content delivery networks. In: 4th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM’08, pp. 1–4. IEEE (2008)

Download references

Acknowledgments

This research was supported by the IT R&D program of MSIP(Ministry of Science, ICT and Future Planning)/NIPA(National IT Industry Promotion Agency). [12221-14-1001, Next Generation Network Computing Platform Testbed].

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Jinsul Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Park, S., Kim, J., Tihfon, G.M. et al. Dynamic multimedia transmission control virtual machine using weighted Round-Robin. Cluster Comput 19, 293–300 (2016). https://doi.org/10.1007/s10586-015-0524-y

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10586-015-0524-y

Keywords

Navigation