6,037 research outputs found

    Towards SVC-based adaptive streaming in information centric networks

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    HTTP Adaptive Streaming (HAS) is becoming the de-facto standard for video streaming services. In HAS, each video is segmented and stored in different qualities. The client can dynamically select the most appropriate quality level to download, allowing it to adapt to varying network conditions. As the Internet was not designed to deliver such applications, optimal support for multimedia delivery is still missing. Information Centric Networking (ICN) is a recently proposed disruptive architecture that could solve this issue, where the focus is given to the content rather than to end-to-end connectivity. Due to the bandwidth unpredictability typical of ICN, standard AVC-based HAS performs quality selection sub-optimally, thus leading to a poor Quality of Experience (QoE). In this article, we propose to overcome this inefficiency by using Scalable Video Coding (SVC) instead. We individuate the main advantages of SVC-based HAS over ICN and outline, both theoretically and via simulation, the research challenges to be addressed to optimize the delivered QoE

    Scalable and Cost Efficient Algorithms for Virtual CDN Migration

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    Virtual Content Delivery Network (vCDN) migration is necessary to optimize the use of resources and improve the performance of the overall SDN/NFV-based CDN function in terms of network operator cost reduction and high streaming quality. It requires intelligent and enticed joint SDN/NFV migration algorithms due to the evident huge amount of traffic to be delivered to end customers of the network. In this paper, two approaches for finding the optimal and near optimal path placement(s) and vCDN migration(s) are proposed (OPAC and HPAC). Moreover, several scenarios are considered to quantify the OPAC and HPAC behaviors and to compare their efficiency in terms of migration cost, migration time, vCDN replication number, and other cost factors. Then, they are implemented and evaluated under different network scales. Finally, the proposed algorithms are integrated in an SDN/NFV framework. Index Terms: vCDN; SDN/NFV Optimization; Migration Algorithms; Scalability Algorithms.Comment: 9 pages, 11 figures, 4 tableaux, conference Local Computer Networks (LCN), class

    A Space Efficient Data Management Scheme on Content Delivery Networks for Online Video Provisioning

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    In this paper CDNs (Content Delivery Networks) have been widely implemented to provide scalable cloud services. Such networks support resource pooling by permitting virtual machines or physical servers to be dynamically activated and deactivated consistent with current user demand. This paper examines on-line video replication and placement problems in Content delivery networks an efficient video provisioning scheme should simultaneously utilize system resources to reduce total energy consumption and limit replication overhead. We inclined to propose a scheme known as adaptive information placement that may dynamically place and reorganize video replicas among cache servers on subscribers’ arrival and departure. Both the analyses and simulation results show that adaptive information placement will reduce the number of activated cache servers with restricted replication overhead. Additionally, adaptive information placements performance is approximate to the optimal solution
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