Dynamic bandwidth allocation algorithms for local storage based VoD delivery: Comparison between single and dual receiver configurations

The benefits of using distributed caching servers to optimize the traditional video-on-demand delivery have been extensively discussed in literature. In our previous work, we introduced a dual-receiver based dynamic bandwidth allocation algorithm to improve video-on-demand services using a local storage placed within the access network. The main drawback of this algorithm lies in the additional power consumption at the optical network unit that arises from using two receivers. In this paper, we present two novel single-receiver based dynamic bandwidth allocation algorithms to further optimize local storage aided video-on-demand over passive optical networks. The quality-of-service and power performances of the algorithms are critically analyzed using packet level simulations and formulation of power consumption models. We show that the energy-efficiency of a local storage based video-on-demand scheme can be increased without compromising the quality-of-service by the use of single receiver algorithms. Further, we compare the two newly introduced algorithms against dual-receiver based and without local storage schemes to find the most appropriate bandwidth allocation algorithm for local storage based video-on-demand delivery over passive optical networks.