Energy-Efficient Content Placement for Layered Video Content Delivery over Cellular Networks

Метод Оцінки Часу Затримки В Процесі Потокового Мовлення

“…В роботі [9] запропонований алгоритм оптимізації управління кешуванням відеоконтенту, орієнтований на прогноз його популярності. Оптимізація розподіленого кешування контенту та архітектури системи реплікації дозволяє підвищити енергоефективність роботи та зменшити витрати на реплікацію в мережах, де здійснюється обробка багатошарового відеоконтенту [10][11][12].…”

Delay Analysis of Layered Video Caching in Crowdsourced Heterogeneous Wireless Networks

“…, Q} of Q layers (or qualities) including one base layer and Q−1 enhancement layers; layer 1 realizes quality 1, the combination of layers 1 and 2 realizes quality 2, and so on. Unlike [18], we assume that the size of individual video layers can differ: the size of q-th layer of video v, denoted as o vq >0 (MB), typically decreases with q (o v1 >o v2 > . .…”

“…where x s,q is the number of the most popular videos whose at least first q layers are cached by SCBS s. The rightmost term in Eq. (7) is derived by using a similar approximation as the one in [18]. Finally, videos requested by u i could be found in its own cache (Self-response) or in the cache of the UEs in its UPN (UPN-response).…”

“…However, caching layered videos is complex since the dependencies between the different layers should be considered during both the caching and the streaming process. In this respect, Xie et al [18] proposed an energyefficient placement approach for layered videos with the aim of minimizing the energy saving of the SCBSs in cellular networks. Poularakis et al [14] studied layered video caching in multi-operator cellular networks and found that cooperation of co-located SCBSs reduces the delivery delay up to 25%.…”