A survey on content awareness challenges in IPTV delivery networks

  • Suliman Mohamed FatiEmail author
  • Putra Sumari


Nowadays, with the evolution of digital video broadcasting, as well as, the advent of high speed broadband networks, a new era of TV services has emerged known as IPTV. IPTV is a system that exploits the high speed broadband networks to deliver TV services to the subscribers. From the service provider viewpoint, the challenge in IPTV systems is how to build delivery networks that exploits the resources efficiently and reduces the service cost, as well. However, designing such delivery networks are affected by many factors including choosing the suitable network architecture, load balancing, resources waste, and cost reduction. Furthermore, IPTV contents characteristics; particularly size, popularity, and interactivity play an important role in balancing the load and avoiding the resources waste for delivery networks. Ignoring the content status in solving delivery networks issues particularly replica placement, request distribution, and resource allocation problems leads to load imbalance, which in turn, leads to performance degradation in IPTV system. In this survey paper, we introduce IPTV delivery networks terminology and taxonomy. Upon that, we investigate the challenges related to the contents’ awareness in those delivery networks. At the end of the paper, we propose a content-awareness in ITV delivery networks and CDN as the future direction and discuss its importance in different aspects as request redirection, resource allocation, and replica placement.


IPTV Delivery networks Replica placement Content status Load balancing IPTV delivery networks 



  1. 1.
    Aldana Diaz ME, Huh EN (2011) Cost analysis on IPTV hosting service for 3rd party providers. Proc 5th Int Conf Ubiquitous Inform Manag Commun. ACM: 114Google Scholar
  2. 2.
    Alemany J, Thathachar JS (1997) Random striping news on demand servers. Dept. of Computer Science & Engineering, University of Washington, Technical report -TR-97-02-02Google Scholar
  3. 3.
    Almeida JM (2003) Streaming content distribution networks with minimum delivery cost. Doctoral dissertation. University of WisconsinGoogle Scholar
  4. 4.
    Belbekkouche A, Hasan M, Karmouch A (2012) Resource discovery and allocation in network virtualization. Commun Surveys Tutor IEEE 14(4):1114–1128CrossRefGoogle Scholar
  5. 5.
    Bikfalvi A, García-Reinoso J, Vidal I, Valera F, Azcorra A (2011) P2P vs. IP multicast: comparing approaches to IPTV streaming based on TV channel popularity. Comput Netw 5(6):1310–1325. CrossRefGoogle Scholar
  6. 6.
    Bisdikian CC, Patel BV (1996) Cost-based program allocation for distributed multimedia-on-demand systems. IEEE Multimed 3(3):62–72CrossRefGoogle Scholar
  7. 7.
    Bolosky WJ, Barrera JS, Draves RP, Fitzgerald RP, Gibson GA, Jones MB, Levi SP, Myhrvold NP, Rashid RF (1996) The Tiger Video Fileserver. Technical Report (MSR-TR-96-09), Microsoft ResearchGoogle Scholar
  8. 8.
    Borzemski L, Zatwarnicki K (2008) CDNs with global adaptive request distribution. In Knowledge-Based Intelligent Information and Engineering Systems, 12th International Conference (KES’08), Zagreb, Croatia, September 3–5, 2008, Proceedings Part II (pp. 117–124). (Lecture Notes in Computer Science; Vol. 5178). Springer Berlin HeidelbergGoogle Scholar
  9. 9.
    Cardellini V, Colajanni M, Philip SY (1999) Dynamic load balancing on web-server systems. Internet Comput IEEE 3(3):28–39CrossRefGoogle Scholar
  10. 10.
    Casalicchio E, Cardellini V, Colajanni M (2002) Content-aware dispatching algorithms for cluster-based web servers. Clust Comput 5(1):65–74CrossRefGoogle Scholar
  11. 11.
    Cherkasova L, Ponnekanti SR (2000) Optimizing a “content-aware” load balancing strategy for shared Web hosting service. Modeling, Anal Simul Comput Telecomm Syst 2000. Proc 8th Int Sym. IEEE: 492–499Google Scholar
  12. 12.
    Cho DH, Lee KY, Choi SL, Chung YD, Kim MH, Lee YJ (2008) A request distribution method for clustered VOD servers considering buffer sharing effects. J Syst Archit 54(1):335–346CrossRefGoogle Scholar
  13. 13.
    Choe YR, Schuff DL, Dyaberi JM, Pai VS (2007) Improving VoD server efficiency with bittorrent. Proc 15th Int Conf Multimed (Multimedia’07) (pp. 117–126). ACM, New York, NY, USAGoogle Scholar
  14. 14.
    Cidon I, Kutten S, Soffer R (2002) Optimal allocation of electronic content. Comput Netw 40(2):205–218CrossRefGoogle Scholar
  15. 15.
    Cranor CD, Ethington R, Sehgal A, Shur D, Sreenan C, van der Merwe JE (2003) Design and implementation of a distributed content management system. Proc 13th Int Workshop Netw Opera Syst Support Digit Audio Video (NOSSDAV '03). ACM, New York, NY, USA: 4–11Google Scholar
  16. 16.
    Dakshayini M, Guruprasad HS, Maheshappa HD, Manjunath AS (2007) Load balancing in distributed VoD using Local Proxy Server Group [LPSG]. Proc Int Conf Comput Intell Multimed Appl 2007 (ICCIMA’ IEEE-07) 4:162–168 IEEE, Sivakasi, Tamilnadu, IndiaGoogle Scholar
  17. 17.
    Davies C, Delany J (2005) IPTV VOD market analysis, technical report, OvumGoogle Scholar
  18. 18.
    Dees E (2007) Decentralized advertisement recommendation on IPTV, Master thesis, Vrije University, NetherlandsGoogle Scholar
  19. 19.
    Little, T. and Venkatesh, D. (1993) Probabilistic assignment of movies to storage devices in a video-on-demand system. network and operating system support for digital audio and video (846), Doug S., Blair G. S., Coulson G., Davies N., Garcia F. (Eds.). Lecture notes in computer science, London, UK: Springer-Verlag, pp. 204–215.Google Scholar
  20. 20.
    Du Z, Hu J, Chen Y, Cheng Z, Wang X (2011) Optimized qos-aware replica placement heuristics and applications in astronomy data grid. J Syst Softw 84(7):1224–1232CrossRefGoogle Scholar
  21. 21.
    Dukes J, Jones J (2004) Using dynamic replication to manage service availability in a multimedia server cluster. Interactive Multimedia and Next Generation Networks (pp. 194-205). Springer Berlin HeidelbergGoogle Scholar
  22. 22.
    Ebara H, Yasutomo ABE, Ikeda D, Tsutsui T, Sakai K, Nakaniwa A, Okada H (2005) A cost-effective dynamic content migration method in CDNs. IEICE Trans Commun 88(12):4598–4604CrossRefGoogle Scholar
  23. 23.
    EBU (2011) The future of terrestrial broadcasting. Technical report. European Broadcasting Union, SwitzerlandGoogle Scholar
  24. 24.
    Fan Q, Yin H, Min G, Yang P, Luo Y, Lyu Y et al (2018) Video delivery networks: challenges, solutions and future directions. Comput Electr Eng 66:332–341CrossRefGoogle Scholar
  25. 25.
    Fati SM, Sumari P (2018) Content awareness in IPTV delivery networks. IPTV Deliv Netw: Next Gen Arch Live Video-on-Demand Serv: 93Google Scholar
  26. 26.
    Fati SM, Sumari P (2018) IPTV: Delivering TV services over IP networks. IPTV delivery networks: Next Generation Architectures for Live and Video-on-Demand Services, 3Google Scholar
  27. 27.
    Fati SM, Budiartu R, Sumari P (2014). Provisioning virtual IPTV delivery networks using hybrid genetic algorithm. Proc 8th Int Conf Ubiquitous Inform Manag Commun. ACM: 106Google Scholar
  28. 28.
    Fati SM, Sumari P, Yuhaniz SS, Sjarif NNBA (2017) Modelling contents status for IPTV delivery networks. Proceedings of the 6th International Conference of Computing & Informatics (pp. 282–290). Sintok: School of ComputingGoogle Scholar
  29. 29.
    Figueiredo F, Benevenuto F, Almeida JM (2011) The tube over time: characterizing popularity growth of youtube videos. Proc Fourth ACM Int Conf Web Search Data Mining. ACM: 745–754Google Scholar
  30. 30.
    Fleury J (2006) IPTV related standardization activities in DVB, ITU-T IPTV global technical workshop, Seoul, KoreaGoogle Scholar
  31. 31.
    Gaber SMA, Sumari P (2012) Predictive and content-aware load balancing algorithm for peer-service area based IPTV networks. Multimed Tools Appl: 1–24Google Scholar
  32. 32.
    Gaber SMA, Sumari P, Budiarto R (2012) Balanced content allocation scheme for peer-service area CDN architecture for IPTV services. J ICT 11:131–146Google Scholar
  33. 33.
    Gafsi J, Biersack EW (2000) Modelling and performance comparison of reliability strategies for distributed video servers. Trans Parallel Distrib Syst IEEE 11(4):412–430CrossRefGoogle Scholar
  34. 34.
    Ganger GR, Worthington BL, Hou RY, Patt YN (1993) Disk subsystem load balancing: disk striping vs. conventional data placement. Proc Twenty-Sixth Hawaii Int Conf Syst Sci 1993 1:40–49 IEEE Computer Society, Maui, HawaiiCrossRefGoogle Scholar
  35. 35.
    García R, Pañeda XG, Melendi D, Garcia V (2009) Probabilistic analysis and interdependence discovery in the user interactions of video news on demand service. Comput Netw 53(12):2038–2049zbMATHCrossRefGoogle Scholar
  36. 36.
    GlobeComm (2006) The IPTV Revolution: New Opportunities, New Challenges for Satellite Communications Systems,
  37. 37.
    Golubchik L, Muntz RR, Chou CF, Berson S (2001) Design of fault-tolerant large-scale VOD servers: with emphasis on high-performance and low-cost. Trans Parallel Distrib Syst IEEE 12(4):363–386CrossRefGoogle Scholar
  38. 38.
    Guo J, Wang Y, Tang KS, Chan S, Wong EW, Taylor P, Zukerman M (2008) Evolutionary optimization of file assignment for a large-scale video-on-demand system. Knowl Data Eng IEEE Trans 20(6):836–850CrossRefGoogle Scholar
  39. 39.
    Guruprasad HS, Maheshappa HD (2008) Dynamic load balancing architecture for distributed VoD using agent technology. Int J Comput Sci Sec (IJCSS) 2(5):14–20Google Scholar
  40. 40.
    Hei X, Liang C, Liang J, Liu Y, Ross KW (2007) A measurement study of a large-scale P2P IPTV system. IEEE Trans Multimed 9(8):1672–1687CrossRefGoogle Scholar
  41. 41.
    Hongliang Y, Dongdong Z, Ben YZ, Weimin Z (2006) Understanding user behavior in large-scale video-on-demand systems, Proc of the 1st ACM SIGOPS/ EuroSys: 333–344Google Scholar
  42. 42.
    Houidi I, Louati W, Ben Ameur W, Zeghlache D (2011) Virtual network provisioning across multiple substrate networks. Comput Netw 55(4):1011–1023zbMATHCrossRefGoogle Scholar
  43. 43.
    Huang YF, Fang CC (2004) Load balancing for clusters of VOD servers. Inf Sci 164(1):113–138zbMATHCrossRefGoogle Scholar
  44. 44.
    Huang C, Li J, Ross KW (2007) Can internet video-on-demand be profitable? ACM SIGCOMM Comput Commun Rev 37(4):133–144CrossRefGoogle Scholar
  45. 45.
    ITU-T Focus Group IPTV, I. P. T. V (2006) Service requirements. Retrieved from
  46. 46.
    Jacqui C (2007) Report: One-third of TV watching to be video-on-demand by 2012, Report, ars technica,
  47. 47.
    Joe I, Yi JH, Sohn KS (2012) A content-based caching algorithm for streaming media cache servers in CDN. In proceeding of: Multimedia, Computer Graphics and Broadcasting -International Conference, MulGraB 2011, Held as Part of the Future Generation Information Technology Conference, FGIT 2011, in Conjunction with GDC 2011, Jeju Island, Korea, December 8-10, 2011. Proceedings, Part I (pp. 28-36). Springer Berlin HeidelbergGoogle Scholar
  48. 48.
    Karantanis S (2009) IPTV evolution - Strategic issues for an IPTV provider in Greece, Master thesis, Athens Information Technology, GreeceGoogle Scholar
  49. 49.
    Karlsson M, Karamanolis C, Mahalingam M (2002) A framework for evaluating replica placement algorithms, technical report HPL-2002, HP LaboratoriesGoogle Scholar
  50. 50.
    Khan SU, Ahmad I (2008) Comparison and analysis of ten static heuristics-based internet data replication techniques. J Parallel Distrib Comput 68(2):113–136zbMATHCrossRefGoogle Scholar
  51. 51.
    Kim CS, Bak YH, Woo SM, Lee WJ, Min OG, Kim HY (2006) Design and implementation of a storage management method for content distribution. Proc 8th Int Conf Adv Commun Technol (ICACT’06) 2:5 IEEE, Phoenix Park, KoreaGoogle Scholar
  52. 52.
    Kitjongthawonkul, S., & Ko, J. (2011) Using an effective algorithm to resolve the video-on-demand service network resource allocation problem. Adv Commun Technol (ICACT), 2011 13th Int Conf. IEEE: 1031–1036Google Scholar
  53. 53.
    Kulatunga C, Kandavanam G, Rana AI, Balasubramaniam S, Botvich D (2011) HySAC: a hybrid delivery system with adaptive content management for IPTV networks. Proc Int Conf Commun (ICC’11). IEEE, Kyoto, Japan: 1–5Google Scholar
  54. 54.
    Laoutaris N, Zissimopoulos V, Stavrakakis I (2005) On the optimization of storage capacity allocation for content distribution. Comput Netw 47(3):409–428CrossRefGoogle Scholar
  55. 55.
    Lee JYB, Wong PC (2000) Performance analysis of a pull-based parallel video server. IEEE Trans Parallel Distrib Syst 11(12):1217–1231CrossRefGoogle Scholar
  56. 56.
    Lee SB, Muntean G, Smeaton AF (2009) Performance-aware replication of distributed pre-recorded IPTV content. Broadcast IEEE Trans 55(2):516–526CrossRefGoogle Scholar
  57. 57.
    Lee GM, Raj Bhandari S, Crespi N (2010) Content delivery for personalized IPTV services using peer to peer proxy. J Internet Eng 4(1)Google Scholar
  58. 58.
    Li M, Wu CH (2010) A cost-effective resource allocation and management scheme for content networks supporting IPTV services. Comput Commun 33(1):83–91CrossRefGoogle Scholar
  59. 59.
    Loukopoulos T, Ahmad I (2004) Static and adaptive distributed data replication using genetic algorithms. J Parallel Distrib Comput 64(11):1270–1285zbMATHCrossRefGoogle Scholar
  60. 60.
    Mahmood A (2010) Replicating web contents using a hybrid particle swarm ptimization. Inf Process Manag 46(2):170–179CrossRefGoogle Scholar
  61. 61.
    Meng S, Liu L, Yin J (2010) Scalable and reliable IPTV service through collaborative request dispatching. Web Services (ICWS), 2010 IEEE Int Conf. IEEE, 179–186Google Scholar
  62. 62.
    Mikoczy E, Pavol P (2009) Evolution of IPTV Architecture and Services towards NGN. In: Recent Advances in Multimedia Signal Processing and Communications (231), Grgic, M. , Delac, K., Ghanbari, M. (Eds.) ,Studies in Computational Intelligence, Springer Berlin / Heidelberg, pp. 315–339Google Scholar
  63. 63.
    Mir N (2011) Analysis of Reliable and Scalable Video-On-Demand Networks. In Proceeding of the 10th International Conference on Networks (ICN’11,) (pp. 430–435), St. Maarten, Netherland AntillesGoogle Scholar
  64. 64.
    Moon J, Moon HJ, Cho Y (2010) A history-based scheduler for dynamic load balancing on distributed VOD server environments. In Computational Science and Its Applications,the International Conference (ICCS’10, Fukuoka, Japan, March 23–26, 2010. Proceeding Part III (pp. 269–276). (Lecture Notes in Computer Science; Vol. 6018). Springer Berlin HeidelbergGoogle Scholar
  65. 65.
    MRG (2012) IPTV market leader report. Technical report. Multimedia research group, Inc. Retrieved from:
  66. 66.
    Nair TR, Jayarekha P (2010) A rank based replacement policy for multimedia server cache using Zipf-like law. J Comput 2(3):14–22Google Scholar
  67. 67.
    Nakaniwa A, Ebara H (2007) Optimal allocation of cache servers and content files in content distribution networks. Proceedings of IASTED European conference on internet and multimedia systems and applications (IMSA'07) (pp. 15–22). ACTA press Anaheim, CA, USAGoogle Scholar
  68. 68.
    Neves TA, Drummond L, Ochi LS, Albuquerque C, Uchoa E (2010) Solving replica placement and request distribution in content distribution networks. Electron Notes Discrete Math 36:89–96zbMATHCrossRefGoogle Scholar
  69. 69.
    Nguyen T, Safaei F, Boustead P, Tung Chou C (2005) Provisioning overlay distribution networks. Comput Netw 49(1):103–118zbMATHCrossRefGoogle Scholar
  70. 70.
    Nishimura H, Iwasa E, Irie M, Kondoh S, Kaneko M, Fukumoto T, ..., Ueda K (2012) Applying flexibility in scale-out-based web cloud to future telecommunication session control systems. Proc 16th Int Conf Intell Next Gen Netw (ICIN’12). IEEE, Berlin, Germany: 1–7Google Scholar
  71. 71.
    Niu D (2013) Demand forecast, resource allocation and pricing for multimedia delivery from the cloud. Doctoral dissertation. University of Toronto. CanadaGoogle Scholar
  72. 72.
    Nordström E (2009) Overview of IPTV systems .Technical report. Retrieved from:
  73. 73.
    Open IPTV Forum (2009a) Functional architecture, technical report, APPROVED Jan 15, 2008,
  74. 74.
    Open IPTV Forum (2009b) Service and platform requirements, technical report. V 1.1,2008-05-07 Final,
  75. 75.
    Organization for Economics Development (OECD) (2007) Convergence and next generation networks. DSTI/ICCP/CISP(2007)2/FINAL,
  76. 76.
    Pai VS, Aron M, Banga G, Svendsen M, Druschel P, Zwaenepoel W, Nahum E (1998) Locality-aware request distribution in cluster-based network servers. ACM Sigplan Notices ACM 33(11):205–216CrossRefGoogle Scholar
  77. 77.
    Pandey S, Won YJ, Hong JW, Strassner J (2011) Dimensioning internet protocol television video on demand services. Int J Netw Manag 21(6):455–468CrossRefGoogle Scholar
  78. 78.
    Passarella A (2012) A survey on content-centric technologies for the current internet: CDN and P2P solutions. Comput Commun 35(1):1–32CrossRefGoogle Scholar
  79. 79.
    Pathan AMK, Buyya R (2007) A taxonomy and survey of content delivery networks. Grid computing and distributed systems laboratory. Technical report. University of MelbourneGoogle Scholar
  80. 80.
    Pathan M, Buyya R (2009) Architecture and performance models for QoS-driven effective peering of content delivery networks. Multiagent Grid Syst 5(2):165–195zbMATHCrossRefGoogle Scholar
  81. 81.
    Pathan M, Buyya R, Vakali A (2008) Content delivery networks: state of the art, insights, and imperatives. In Content Delivery Networks (pp. 3-32). (Lecture Notes Electrical Engineering vol. 9). Springer Berlin HeidelbergGoogle Scholar
  82. 82.
    Peter, W. K., Lie, Lui, J. C. S., Golubchik, L. (2000) Threshold-based dynamic replication in large-ScaleVideo-on-demand systems, Multimed Tools Appl 11(1): 35–62Google Scholar
  83. 83.
    Plagemann T, Goebel V, Mauthe A, Mathy L, Turletti T, Urvoy-Keller G (2006) From content distribution networks to content networks—issues and challenges. Comput Commun 29(5):551–562CrossRefGoogle Scholar
  84. 84.
    Sabella R (2007) Network Architecture Evolution: towards "All-IP", the 3rd EuroNGI Conference on Next Generation Internet Networks, Trondheim, Norway, pp. xviii – xixGoogle Scholar
  85. 85.
    Scheuermann P, Weikum G, Zabback P (1998) Data partitioning and load balancing in parallel disk systems. VLDB J 7(1):48–66CrossRefGoogle Scholar
  86. 86.
    Sharifian S, Motamedi SA, Akbari MK (2008) A content-based load balancing algorithm with admission control for cluster web servers. Futur Gener Comput Syst 24(8):775–787CrossRefGoogle Scholar
  87. 87.
    Sharifian S, Motamedi SA, Akbari MK (2011) A predictive and probabilistic load-balancing algorithm for cluster-based web servers. Appl Soft Comput 11(1):970–981CrossRefGoogle Scholar
  88. 88.
    Sierra-LLamazares KG (2009) An adaptive admission control and load balancing algorithm for a QoS-aware web system. Doctoral dissertation, Universitat de les Illes Balears, SpainGoogle Scholar
  89. 89.
    Sobe, A., Elmenreich, W., Böszörmenyi, L. (2010) Towards a self-organizing replication model for non-sequential media access, the 2010 ACM workshop on social, adaptive and personalized multimedia interaction and access (SAPMIA '10), New York, NY, USA: 3–8Google Scholar
  90. 90.
    Sujatha DN, Girish K, Venugopal KR, Patnaik LM (2008) In: Shrisha R, Mainak C, Prasad J, Murthy C, Saha S (eds) An1031–1036 efficient storage mechanism to distribute disk load in a VoD server, the 9th international conference on distributed computing and networking (ICDCN'08). Springer-Verlag, Berlin, Heidelberg, pp 478–483Google Scholar
  91. 91.
    Takayanagi K (2003) The Dawn of TV broadcasting in Japan, broadcast technology magazine 14, JapanGoogle Scholar
  92. 92.
    Tang KS, Ko KT, Chan S, Wong EW (2001) Optimal file placement in VOD system using genetic algorithm. Indust Electron IEEE Trans 48(5):891–897CrossRefGoogle Scholar
  93. 93.
    Tay YC, Pang H (2000) Load sharing in distributed multimedia-on-demand systems. Trans Know Data Eng IEEE 12(3):410–428CrossRefGoogle Scholar
  94. 94.
    Tenzakhti F, Day K, Ould-Khaoua M (2004) Replication algorithms for the world-wide web. J Syst Archit 50(10):591–605CrossRefGoogle Scholar
  95. 95.
    Teo YM, Ayani R (2001) Comparison of load balancing strategies on cluster-based web servers. Int J Soc Model Simul 77(5–6):185–195Google Scholar
  96. 96.
    Thouin F (2007) Video-on-demand equipment allocation, master thesis, McGill University MontrealGoogle Scholar
  97. 97.
    Thouin F, Coates M (2007) Video-on-demand networks: design approaches and future challenges. Network IEEE 21(2):42–48CrossRefGoogle Scholar
  98. 98.
    Valentin R (2004) Digital TV broadcasting handbook, ABE Elettronica S.p.AGoogle Scholar
  99. 99.
    Vicari C (2008) Distributed dynamic replica placement and request redirection in content delivery networks. Doctoral Dissertation. Università degli Studi di Roma, ItalyGoogle Scholar
  100. 100.
    Vinay A, Prakash A, Kumar DS, Nagabhushan K, Anitha TN (2011) A novel and optimal video replication technique for video-on-demand systems. Proc Int Conf Workshop Emerg Trends Technol (ICWET 2011). ACM, Mumbai, Maharashtra, India: 344–350Google Scholar
  101. 101.
    Wah BW (1984) File placement on distributed computer systems. IEEE Comput 17(1):23–32CrossRefGoogle Scholar
  102. 102.
    Wang Y, Du D (1997) Weighted striping in multimedia servers, the international conference on multimedia computing and systems (ICMCS '97). IEEE Comput Soc, Washington, DC, USA: 102–119Google Scholar
  103. 103.
    Wang JZ, Guha R (2001) Efficiently allocating video data in distributed multimedia applications. J Appl Syst Stud: Methodol Appl Syst Approach 3(2):1–15Google Scholar
  104. 104.
    Wauters T, Coppens J, De Turck F, Dhoedt B, Demeester P (2006) Replica placement in ring based content delivery networks. Comput Commun 29(16):3313–3326CrossRefGoogle Scholar
  105. 105.
    Wolf J (1989) The placement optimization program: a practical solution to the disk file assignment problem. Perform Eval Rev ACM 17(1):1–10CrossRefGoogle Scholar
  106. 106.
    Xu S (2009) Replica placement algorithms for efficient internet content delivery. Doctoral dissertation, University of Adelaide. AustraliaGoogle Scholar
  107. 107.
    Yarali A, Cherry A. (2005) Internet protocol television (IPTV). Proc Ann Tech Conf IEEE (IEEE TENCON 2005). IEEE, Melbourne, Australia, 1–6Google Scholar
  108. 108.
    Zaman S, Grosu D (2011) A distributed algorithm for the replica placement problem. Parallel Distrib Syst IEEE Trans 22(9):1455–1468CrossRefGoogle Scholar
  109. 109.
    Zhou X, Xu C (2002) Request redirection and data layout for network traffic balancing in cluster-based video-on-demand servers. Proc Int Conf IPDPS: 127–134Google Scholar
  110. 110.
    Zhou X, Xu CZ (2007) Efficient algorithms of video replication and placement on a cluster of streaming servers. J Netw Comput Appl 30(2):515–540MathSciNetCrossRefGoogle Scholar

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Authors and Affiliations

  1. 1.Information Systems Department, College of Computer and Information SciencesPrince Sultan UniversityRiyadhSaudi Arabia
  2. 2.Multimedia Research Group, School of Computer SciencesUniversity Sains Malaysia (USM)PenangMalaysia

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