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Fair and Popularity based Content Allocation Scheme for IPTV Delivery Networks

by Suliman Mohamed Fati, Putra Sumari, Rahmat Budiartu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 131 - Number 5
Year of Publication: 2015
Authors: Suliman Mohamed Fati, Putra Sumari, Rahmat Budiartu
10.5120/ijca2015907344

Suliman Mohamed Fati, Putra Sumari, Rahmat Budiartu . Fair and Popularity based Content Allocation Scheme for IPTV Delivery Networks. International Journal of Computer Applications. 131, 5 ( December 2015), 21-26. DOI=10.5120/ijca2015907344

@article{ 10.5120/ijca2015907344,
author = { Suliman Mohamed Fati, Putra Sumari, Rahmat Budiartu },
title = { Fair and Popularity based Content Allocation Scheme for IPTV Delivery Networks },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 131 },
number = { 5 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume131/number5/23445-2015907344/ },
doi = { 10.5120/ijca2015907344 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:26:27.494218+05:30
%A Suliman Mohamed Fati
%A Putra Sumari
%A Rahmat Budiartu
%T Fair and Popularity based Content Allocation Scheme for IPTV Delivery Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 131
%N 5
%P 21-26
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

IPTV gained a significant attention from researchers and Internet service providers due to its ability to benefit from the capabilities of IP based networks to deliver TV related services with high level of QoS. One of the main problems in IPTV Delivery Networks is how to manage the huge amount of multimedia contents efficiently to meet the demands of users especially for Video on Demand (VoD) services. IPTV Delivery Networks is employed to manage the storage of VoD contents in IPTV system but the dynamic changes in both VoD contents and users interests make the need for efficient content management is crucial. Many content allocation schemes are proposed for IPTV Delivery Networks to manage the contents efficiently in hierarchical and distributed architectures. Peer-service architecture of IPTV Delivery Networks is efficient and provides high level of QoS but does not take load balance factor of storage servers into consideration. This paper aims to investigate load imbalance problem in IPTV Delivery Networks, modify peer-service architecture, and propose a novel content allocation method that solves the load imbalance in peer-service content network by replicating the contents based on their popularity and the workload of servers within the service area. Experimental results show that this proposed balanced and popularity based content allocation method can maintains the load balancing among servers and avoid the over/under utilization of servers.

References
  1. S. Lee; G. Muntean, A. Smeaton, "Performance-Aware Replication of Distributed Pre-Recorded IPTV Content," IEEE Trans. on  Broadcasting, vol.55(2), pp.516-526, June 2009.
  2. S. Mandal, M. MBuru, “Intelligent Pre-fetching toReduce Channel Switching Delay in IPTV Systems,“ Texas A&M University, 2008.
  3. A. Yarali, A. Cherry, "Internet Protocol Television (IPTV)," IEEE Region10(TENCON05) ,pp.1-6,doi: 10.1109/TENCON.2005.300861.
  4. M. Li, C. Wu, “A cost-effective resource allocation and management scheme for content networks supporting IPTV services,” Comput.Commun. 33(1),Jan.2010,doi:10.1016/j.comcom.2009.08.003.
  5. J. Cheng, "Report: One-third of TV watching to be video-on-demand by2012", Report, 2007.
  6. J. Gu, J. Nah，”Key Management for Overlay-based IPTV Content Delivery”，IJCSNS, VOL.8 No.12, Dec. 2008.
  7. P. Pfeffer, "IPTV: Technology and Development Predictions," Fbr & Integ.Opt.,vol.25,pp325-346,2006, doi:10.1080/01468030600816979.
  8. R. Doverspike, G. Li, K. Oikonomou, K. Ramakrishnan, R. Sinha, D. Wang,C. Chase,“Designing a Reliable IPTV Network,” IEEE Internet Comp., vol.13(3),May2009,pp.15-22, DOI=10.1109/MIC.2009.58
  9. B. Krogfoss, L. Sofman, A. Agrawal, “Caching architectureand optimization strategies for IPTV networks,” Bell Lab Tech. Journal, vol. 13(3), pp. 13-28,2008, doi:10.1002/bltj.20320.
  10. A. Nakaniwa, H. Ebara,”Optimal allocation of cache servers and content files in content distribution networks,”Proc. of IASTED Eur. Conf.: internet and multimedia systems and applications (IMSA'07),pp. 15-22,2007, Anaheim, CA, USA.
  11. C. Cranor, R. Ethington, A. Sehgal, D. Shur, C. Sreenan, J. E. Merwe,”Design and implementation of a distributed content management system,” Proc. of the 13th intl. workshop on Net. & oper. Sys. Sup. (NOSSDAV '03).ACM, USA, 4-11. DOI=10.1145/776322.776326.
  12. T. Plagemann,V. Goebel,A. Mauthe, L. Mathy, T. Turletti, G. Urvoy-Keller, "From Content Distribution Networks to Content Networks – Issues and Challenges, in Comp. Comm., Vol. 29(5), Mar 2006.
  13. C. Kim, Yu H. Bak, S. Woo, W. Lee, O. Min, H. Kim , "Design and implementation of a storage management method for content distribution,"  8th Intl. Conf. Adv. Comm. Tech., ICACT’06, vol.2, pp.1147, Feb2006, doi: 10.1109/ICACT.2006.206173.
  14. P. Scheuermann, G. Weikum,P. Zabback,”Data partitioning and load balancing in parallel disk systems,” VLDB Journal,vol. 7(1),pp.48-66,Feb 1998, DOI=10.1007/s007780050053.
  15. Y. RynChoe, V. Pai, "Achieving Reliable Parallel Performance in a VoD Storage Server Using Randomization and Replication," IEEE Int. Par. & Dist. Proc. Symp., IPDPS’07 ,Mar2007,doi: 10.1109/IPDPS.2007.370220.
  16. W. Tang,E. Wong,S. Chan,K. Ko, "Optimal video placement scheme for batching VOD services,"  IEEE Trans. on Broadcasting, vol.50(1), pp. 16- 25, Mar 2004,doi: 10.1109/TBC.2003.822983.
  17. K. Tang, K. Ko; S. Chan,E. Wong, "Optimal file placement in VOD system using genetic algorithm,"  IEEE Trans. on Ind. Elec., vol.48(5), pp.891-897, Oct 2001.
  18. Y. Wang, J. Liu, D. Du, J. Hsieh,”Efficient video file allocation schemes for video-on-demand services,” Multimedia Syst. 5, pp.283-296,Sep.1997, DOI=10.1007/s005300050061.
  19. Y. Lin, H. Lai, Y. Lai , "A hierarchical network storage architecture for video-on-demand services," 21st Proc. IEEE Conf. on  Loc. Com. Net.,1996,pp.355-364, Oct 1996 doi: 10.1109/LCN.1996.558164.
  20. V. Cholvi,J. Segarra, “Analysis and placement of storage capacity in large distributed video servers,” Comput.Commun.pp.3604-3612, Sep. 2008, DOI=10.1016/j.comcom.2008.06.012.
  21. D. Brubeck,L. Rowe, "Hierarchical storage management in a distributed VOD system," Multimedia, IEEE , vol.3, no.3, pp.37-47, Fall 1996, doi: 10.1109/93.556538.
  22. S. Tsao, M. Chen, M. Ko, J. Ho, Y. Huang,”Data Allocation and Dynamic Load Balancing for Distributed Video Storage Server,” Journal of Visual Comm.& Image Rep., Vol.10(2),pp.197-218, June 1999, DOI: 10.1006/jvci.1999.0420.
  23. N.Laoutaris,V. Zissimopoulos,I. Stavrakakis,” On the optimization of storage capacity allocation for content distribution,”  Comput.Netw., vol.47(3), Feb2005,pp.409-428, DOI=10.1016/j.comnet.2004.07.020.
  24. I. Cidon,S. Kutten,R. Soffer,"Optimal allocation of electronic content," Proc of 20th Ann. Joint Conf. of IEEE Comp.r and Comm.Soc.,  INFOCOM’01,vol.3,pp.1773-1780,2001, doi:10.1109/INFCOM.2001.916675.
  25. C. Bisdikian, B. Patel,”Cost-based program allocation for distributed multimedia-on-demand systems,” IEEE Multimedia,vol 3(3),pp.62-72,1996.
  26. K. Nwosu,P. Bobbie,B. Thuraisingham, "Data allocation and spatio-temporal implications for video-on-demand systems," Proc. Of 40th IEEE Ann. Int. Phoenix Conf. on  Comp. & Comm.,pp.629-635, Mar1995, doi: 10.1109/PCCC.1995.472427.
  27. K. Karlapalem,I. Ahmad, S. So,Y. Kwok,"Empirical evaluation of data allocation alg. for dist. multimedia database systems," Proc. Of 21th ann. Int. Comp. S\W & App. Conf.,COMPSAC '97,pp.296-301,Aug1997 doi:10.1109/CMPSAC.1997.624842.
  28. J. Wang, R. Guha, "Efficiently Allocating Video Data in Distributed Multimedia Applications", Journal of App. Sys. Studies: Meth. and App. for Sys.Approaches, Special issue on Dist. Multimedia Sys. with App., November 2001.
  29. J. Kangasharju, J. Roberts, K. Ross, “Object Replication Strategies in Content Distribution Networks,” Comp. Comm., vol. 25(3), pp. 367-383, March 2002.
  30. K. Tsang, S. Kwok, “Video Management in Commercial Distributed Video on Demand (VoD) Systems,” PACIS 2000 Proceedings, paper 17.
  31. H. Ebara, Y. Abe, D. Ikeda, T. Tsutsui, K. Sakai, A. Nakaniwa, H. Okada, “A costeffectivedynamic content migration method in CDNs,” IEICE Tran. On Comm. E88-B (12) (2005) 4598–4604.
  32. C. Xie, X. Li, Q. Wei,Q. Cao,” EOP: an efficient object placement and location algorithm for OBS cluster,” Proc. of 7th int. conf. on Alg. and arch. for parallel processing (ICA3PP'07), Springer-Verlag, Berlin, Heidelberg, 222-230.
  33. D. Feng, Q. Lingjun, "Adaptive Object Placement in Object-Based Storage Systems with Minimal Blocking Probability," 20th Int. Conf. on  Adv. Inf. Net. & App.,AINA’06, 2006., vol.1, pp.611-616, April2006doi: 10.1109/AINA.2006.73.
  34. Fati, S. M., Budiartu, R., & Sumari, P. (2014, January). Provisioning virtual IPTV delivery networks using hybrid genetic algorithm. In Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication (p. 106). ACM.
  35. Gaber, S. M. A., & Sumari, P. (2012). Predictive and content-aware load balancing algorithm for peer-service area based IPTV networks. Multimedia Tools and Applications, 1-24.
Index Terms

Computer Science
Information Sciences

Keywords

IPTV IPTV Delivery Networks Content Allocation Peer-service architecture VOD.

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