Video-on-demand has been highlighted as one of the highest growing traffic generators to the global IP networks. Benefits of using distributed caching servers within passive optical networks to optimize the traditional video-on-demand delivery has been discussed in literature. In our previous work, we introduced a dual-receiver dynamic bandwidth allocation algorithm to improve such 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 arise from using two receivers. In this paper, we extend our study to present a novel single-receiver dual-channel dynamic bandwidth allocation algorithm to further optimize local storage based video-on-demand delivery over passive optical networks. Through packet-level simulations and formulation of power consumption models, we show that this algorithm improves energy-efficiency without compromising the quality-of-service performance of the network.
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