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Switching of Cloud Resources among IPTV Services for Better Utilization

Journal: International Journal of Science and Research (IJSR) (Vol.4, No. 3)

Publication Date:

Authors : ; ;

Page : 1582-1586

Keywords : IPTV; VoD; Live TV; VM; Interactive TV; Cloud Computing;

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Internet Protocol Television (IPTV) is a system through which Internet television services are delivered using the architecture and networking methods of the Internet Protocol Suite over a packet-switched network infrastructure, e. g. , the Internet and broadband Internet access networks, instead of being delivered through traditional radio frequency broadcast, satellite signal, and cable television (CATV) formats. IPTV provides mainly three services live TV, video on demand (VoD), and Interactive TV. IPTV services like Video on Demand (VoD) and Live broadcast TV require substantial bandwidth and compute resources to meet the real time requirements and to handle the very bursty resource requirements for each of these services. To meet the needs of the bursts of requests, each with a deadline constraint for both VoD and Live TV channel changes, we propose a resource provisioning framework that allows these services to co-exist on a common infrastructure by taking advantage of virtualization. To find the number of servers (VMs) that are required to serve these services based on the workload and shift the resources among different IPTV services to better utilize the deployed servers, to minimize the delay, and waiting time. In order to compute the amount of resources needed to support multiple services, without missing the dead 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.

Last modified: 2021-06-30 21:34:49