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- Title
Content-aware resource allocation model for IPTV delivery networks.
- Authors
Fati, Suliman M.; Sumari, Putra; Wou Onn Choo
- Abstract
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 employs 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 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. In this paper, we investigate the problem of resource allocation for IPTV delivery networks over the recent architecture, peerservice area architecture. The Genetic Algorithm as an optimization tool has been used to find the optimal provisioning parameters including storage, bandwidth, and CPU consumption. The experiments have been conducted on two data sets with different popularity distributions. The experiments have been conducted on two popularity distributions. The experimental results showed the impact of content status on the resource allocation process.
- Subjects
RESOURCE allocation; DIGITAL video broadcasting; COST control; GENETIC algorithms
- Publication
International Journal of Electrical & Computer Engineering (2088-8708), 2019, Vol 9, Issue 1, p369
- ISSN
2088-8708
- Publication type
Article
- DOI
10.11591/ijece.v9i1.pp369-385