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IPTV (Internet Protocol Television) system delivers the television services through IP suite over a packet-switched network such as internet. Virtualization is said to be an emerging IT paradigm that separates computing functions and technology implementations from physical hardware. Cloud computing can be said as virtualization of computer programs through an internet connection rather than installing applications on every computer. In this paper, our main idea is the usage of virtualized IPTV architecture and intelligent time shifting of service delivery that lowers the provider’s cost in delivering real-time IPTV services. In order to lower the cost, we statistically multiplex the IPTV services such as Live TV, VoD (Video-on-Demand) and so on by taking the differences in the boundary lines assigned to the Live TV versus VoD. In order to compute the amount of resources needed to support multiple services, without missing the boundary line for any service a widely applicable supporting structure can be provided. We construct the problem as an optimization formulation that uses a generic cost function. This formulation gives the number of servers needed at different time instants to support the services. By taking the advantage of Virtualization strategy and Statistical multiplexing method the operators can gain greater cost savings.
[Madhuri A, Venkataravana Nayak, Sunanda Alur , Krishna Gudi (2014); Virtualization Strategy to Implement Cloud-Based IPTV System and to Optimize Cloud Resources Int. J. of Adv. Res. 2 (6). 0] (ISSN 2320-5407). www.journalijar.com
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