Enhanced Load Balancing in Clustered Cloud-based Multimedia System

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2015 by IJETT Journal
Volume-29 Number-4
Year of Publication : 2015
Authors : Suresh Babu Kuntumalla, Lakshumaiah Maddigalla
DOI :  10.14445/22315381/IJETT-V29P234

Citation 

Suresh Babu Kuntumalla, Lakshumaiah Maddigalla"Enhanced Load Balancing in Clustered Cloud-based Multimedia System", International Journal of Engineering Trends and Technology (IJETT), V29(4),183-188 November 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
In any typical centralized hierarchy cloud-based multimedia system (CMS) contains a resource manager, cluster heads and clustered servers. All multimedia service requests of clients, first directed to resource manager then it forwards to appropriate cluster head based on the task characteristic and then again cluster head forwards the client task to the one of the its clustered servers.. In such a complex CMS, obviously, there are prominent design challenges to overcome load balancing issues and enhance the cost effectiveness in transmitting multimedia content between CMS and clients` systems without exceeding maximum load capacity of cluster server. Unlike to earlier paper works, this research work considered additional real time CMS use cases with performance monitoring at various time periods and modelled them into a mathematical optimization program, which intern to derive a better approach to utilize maximum capacity of servers performance and also ensuring not to exceed the cluster server load. As a result, this enhanced work got resolved runtime issues of load balancing by mathematical derived models. The imitation of intended mathematical optimization programs over CMS multi-server load balancing resulted significantly enhanced.

 References

[1] Chun-Cheng Lin, Hui-Hsin Chin, Der-Jiunn Deng, "Dynamic Multi-Service Load Balancing in Cloud-based Multimedia System" IEEE Systems Journal, vol 8, Issue 1, pp.225 - 234, 2014
[2] W. Zhu, C. Luo, J. Wang, and S. Li, “Multimedia cloud computing: An emerging technology for providing multimedia services and applications,” IEEE Signal Processing Magazine, vol. 28, no. 3, pp. 59–69, 2011.
[3] K.-P. Chow and Y.-K. Kwok, “On load balancing for distributed multiagent computing,” IEEE Transactions on Parallel and Distributed Systems, vol. 13, no. 8, pp. 787– 801, 2002.
[4] C.-F. Lai, Y.-M. Huang, and H.-C. Chao, “DLNA-based multimedia sharing system over OSGI framework with extension to P2P network,” IEEE Systems Journal, vol. 4, no. 2, pp. 262–270, 2010.
[5] X. Qin, H. Jiang, A. Manzanares, X. Ruan, and S. Yin, “Communicationaware load balancing for parallel applications on clusters,” IEEE Transactions on Computers, vol. 59, no. 1, pp. 42–52, 2010.
[6] X. Nan, Y. He, and L. Guan, “Optimal resource allocation for multimedia cloud based on queuing model,” in Proceedings of 2011 IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011). IEEE Press, 2011, pp. 1–6.
[7] W. Hui, H. Zhao, C. Lin, and Y. Yang, “Effective load balancing for cloud-based multimedia system,” in Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology. IEEE Press, 2011, pp. 165–168.
[8] C.-Y. Chen, H.-C. Chao, S.-Y. Kuo, and K.-D. Chang, “Rule-based intrusion detection mechanism for IP multimedia subsystem,” Journal of Internet Technology, vol. 9, no. 5, pp. 329–336, 2008.
[9] R. Van den Bossche, K. Vanmechelen, and J. Broeckhove, “Cost-optimal scheduling in hybrid IaaS clouds for deadline constrained workloads,” in Proceedings of 2010 IEEE 3rd International Conference on Cloud Computing. IEEE Press, 2010, pp. 228–235.
[10] Y.-M. Huang, M.-Y. Hsieh, H.-C. Chao, S.-H. Hung, and J. H. Park, “Pervasive, secure access to a hierarchical-based healthcare monitoring architecture in wireless heterogeneous sensor networks,” IEEE Journal on Selected Areas of Communications, vol. 27, no. 4, pp. 400–411, 2009.
[11] T.-Y. Wu, H.-C. Chao, and C.-Y. Huang, “A survey of mobile IP in cellular and mobile ad-hoc network environments,” Ad Hoc Networks Journal, vol. 3, no. 3, pp. 351–370, 2005.
[12] L. J. Wu, A. E. AL Sabbagh, K. Sandrasegaran, M. Elkashlan, and C. C. Lin, “Performance evaluation on common radio resource management algorithms,” in Proceedings of 2010 IEEE 24th International Conferenceon Advanced Information Networking and Applications Workshops(WAINA 2010). IEEE Press, 2010, pp. 491– 495.
[13] C.-Y. Chang, T.-Y. Wu, C.-C. Huang, A. J.-W. Whang, and H.-C. Chao, “Robust header compression with load balance and dynamic bandwidth aggregation capabilities in WLAN,” Journal of Internet Technology, vol. 8, no. 3, pp. 365–372, 2007.
[14] J. Sun, X. Wu, and X. Sha, “Load balancing algorithm with multiservice in heterogeneous wireless networks,” in Proceedings of 6th International ICST Conference on Communications and Networking in China (ChinaCom 2011). IEEE Press, 2011, pp. 703–707.
[15] H. Son, S. Lee, S.-C. Kim, and Y.-S. Shin, “Soft load balancing over heterogeneous wireless networks,” IEEE Transactions on Vehichular Technology, vol. 57, no. 4, pp. 2632–2638, 2008.
[16] L. Zhou, H.-C. Chao, and A. V. Vasilakos, “Joint forensics-scheduling strategy for delay-sensitive multimedia applications over heterogeneous networks,” IEEE Journal on Selected Areas of Communications, vol. 29, no. 7, pp. 1358–1367, 2011.
[17] CloudSim : A Framework For Modeling And Simulation Of Cloud Computing Infrastructures And Services https://code.google.com/p/cloudsim/
[18] P.Gayathri Atchuta, L.Prasanna Kumar, Amarendra Kothalanka"Improving Performance and Reliability Using New Load Balancing Strategy with Large Public Cloud", International Journal of Engineering Trends and Technology (IJETT), V21(8),400-404 March 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Keywords
load balancing, cloud computing, multimedia system, mathematical optimization, heuristic.