Management of scalable video streaming in information centric networking

Abstract

Ability of caching the contents is one of the most important feature of an Information Centric Networking (ICN) node. By managing the cache space intelligently we can improve network's performance and increase users' Quality of Experience (QoE). Moreover, scalable video streaming in ICN is envisioned to be very beneficial as well as a challenging issue. In this paper, we are proposing a mechanism for cache management and request forwarding policies for scalable video streaming in ICN. Our proposed cache decision policy ensures to cache the base layer of a scalable video near to the users, which is mandatory layer for decoding any SVC encoded video and is needed by all the users with any data-rate budget, and consequently cache the higher layers in the upper nodes in the CCN/ICN within a specific RTT range. Furthermore, our intelligent cache decision cover fairness by considering router's cache capacity (inside the RTT range) and at the same time giving more priority to the nodes that are nearer to the users. A limited cooperative request forwarding mechanism, which is the part of our proposal, plays a role to improve users' QoE by providing the popular requested contents quickly. We have intensively simulated our proposed cache management and request forwarding scheme. The simulation results show that our proposed solution outperforms the current cache management schemes and improve the cache utilization. Also our proposed scheme decrease the traffic flowing inside the network by eliminating the request flooding and providing the requested contents from the nearby location to the users. The proposed scheme provides video faster to the users, specially the mandatory base layer is provided very quickly to the users.

AI-Assisted Network-Slicing Based Next-Generation Wireless Networks

“…As illustrated in Fig. 8, there are two types of caching policies to update the contents in a cache, In a reactive caching policy, the edge node determines whether or not to cache a content after a request for that content arrives [127]. A common assumption is that the content popularity follows a stochastic distribution, such as Zipf distribution [125].…”

Quality Adaptation and Resource Allocation for Scalable Video in D2D Communication Networks

“…CCN, also called Named-Data Networking (NDN) [2], a variant of the future Internet architecture, changes the architecture of the current Internet by making it content-specific. In NDN, the data is named as variablelength hierarchical identifiers, like URIs or file system paths (e.g., a/b/c.mpg) [4]. UE generate requests, called Interest, for a chunk of the content that carries these hierarchical names and send it access router.…”

Optimal Content Caching in Content-Centric Networks

“…Addressing one factor may affect the performance of other parameter(s). Although the content popularity and hop reduction in CCN have been discussed in some of the existing caching policies, such as [17,[19][20][21][22][23][24][25][26], the bandwidth consumption is still not optimal. Therefore, there is a need to devise an optimal caching strategy to increase the content availability while consuming minimum possible resources.…”

“…Moreover, finding an energy efficient route between source and destination is also challenging. In [26], the authors investigate the challenging issue of scalable video streaming in ICN. The proposed scheme improves the user's QoE by providing requested content quickly.…”