Dynamic adaptive streaming over popularity-driven caching in Information-Centric Networks

Abstract

The growing demand for video streaming is straining the current Internet, and mandating a novel approach to future Internet paradigms. The advent of Information-Centric Networks (ICN) promises a novel architecture for addressing this exponential growth in data-intensive services, of which video streaming is projected to dominate (in traffic size). In this paper, we present a novel strategy in ICNs for adaptive caching of variable video contents tailored to different sizes and bit rates. Our objective is to achieve optimal video caching to reduce access time for the maximal requested bit rate for every user. At its core, our approach capitalizes on a rigorous delay analysis and potentiates maximal serviceability for each user. We incorporate predictors for requested video objects based on a popularity index (Zipf distribution). In our proposed model, named DASCache, we present delay queuing analysis for cached objects, providing a cap on expected delay in accessing video content. In DASCache, we present a Binary Integer Programming (BIP) formulation for the cache assignment problem, which operates in rounds based on changes in content requests and popularity scores. DASCache reacts to changes in network dynamics that impact bit rate choices by heterogeneous users and enables users to stream videos, maximizing Quality of Experience (QoE). To evaluate the performance of DASCache, in contrast to current benchmarks in video caching, we present an elaborate performance evaluation carried out on ndnSIM, over NS-3.

QoE Management of Multimedia Streaming Services in Future Networks: A Tutorial and Survey

“…QoE-driven/aware Management using ICN [279], [281], QoE-driven content caching and adaptation scheme over MEC-enabled ICN [303] Performing prefetching of video streams that enables ICN to compute the link resources availability and makes scheduling of data units dissemination called "chunks" to edge caches according to end-users' requests [307] or video prefetching at the network edge in order to achieve the users' QoE [302] users have access to fog services with low delay, QoE support, and without significant network overhead.…”

“…Based on the collected information regarding the usage of network capacity and DASH video streaming sessions, the network controller performs prefetching of video segments and move them to the edge caches. Li et al [279] use a binary integer programming formulation to present dynamic adaptive streaming over popularity-driven caching (DASCache), an approach that can handle different video content caching in ICNs. DASCache enables fast video streaming with high QoE over ICNs by minimizing the average access time per bit of video contents requested by the enduser.…”

Management of scalable video streaming in information centric networking

“…Li et al [21] has shown superiority of SVC over AVC in CCN environment. Figure 1 is showing an example of delivering one video to 3 different users, with different device capabilities and network connectivity, over the Internet.…”

“…Authors of [18,21] have proposed caching the dynamic adaptive streaming contents at the optimum locations in the network. They have termed their proposal as DASCache.…”

“…DASCache DASCache [21] takes caching decision for the content on a path periodically on the basis of contents' popularity (Zipf distribution). The caching decision is formulated as binary integer programing based optimization problem which is solved centrally for each path periodically and the contents are placed at the optimum location in the network.…”