Volume 7 Issue 1 - May 2016

  • 1. Genetic algorithm approach and buffering techniques to reduce bandwidth requirements for a video on demand system

    Authors : Garima Varshney, Neeta Singh

    Pages : 84-91

    DOI : http://dx.doi.org/10.21172/1.71.011

    Keywords : Video on Demand, Buffering, Broadcasting, Genetic Algorithm

    Abstract :

    Advances in computing technology have made the delivery of on-demand video service easy for every user. In this paper, we employ Genetic Algorithm (GA) and use the buffering techniques to reduce bandwidth requirement in aVideo on Demand (VoD) system. Two bandwidth requirement schemes are suggested to reduce the number of streams. The scheme 1 is Join and Stream Scheme (JAS), in which the movie is broadcasted in a staggered manner and unicast streams are used. The scheme 2 is Stream Bundling Broadcasting Scheme (SBB), in which bundled channels are used to serve the user. The two multicast schemes are compared on the basis ofbandwidth required i.e. optimum number of streams. The optimal batching time and a minimum number of streams required are determined using GA.

    Citing this Journal Article :

    Garima Varshney, Neeta Singh, "Genetic algorithm approach and buffering techniques to reduce bandwidth requirements for a video on demand system", https://www.ijltet.org/journal_details.php?id=901&j_id=3027, Volume 7 Issue 1 - May 2016, 84-91, #ijltetorg