AMVS-NDN: Adaptive mobile video streaming and sharing in wireless named data networking

Han, Bing; Wang, Xiaofei; Choi, Nakjung; Kwon, Ted Taekyoung; Choi, Yanghee

doi:10.1109/infcomw.2013.6970721

Cited by 51 publications

(34 citation statements)

References 7 publications

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“…Video over ICN: Recent work has extended ICN to support video streaming [35,38], optimized ICN-based streaming on mobile devices [26], and has suggested cooperative caching to improve video delivery [39]. Closer to our work, Fricker et al [24] [21,34].…”

Section: Icn Visionmentioning

confidence: 64%

Trace-Driven Analysis of ICN Caching Algorithms on Video-on-Demand Workloads

Sun

Fayaz

Guo

et al. 2014

Proceedings of the 10th ACM International on Conference on Emerging Networking Experiments and Technologies

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Even though a key driver for Information-Centric Networking (ICN) has been the rise in Internet video traffic, there has been surprisingly little work on analyzing the interplay between ICN and video -which ICN caching strategies work well on video workloads and how ICN helps improve video-centric quality of experience (QoE). In this work, we bridge this disconnect with a tracedriven study using 196M video requests from over 16M users on a country-wide topology with 80K routers. We evaluate a broad space of content replacement (e.g., LRU, LFU, FIFO) and content placement (e.g., leave a copy everywhere, probabilistic) strategies over a range of cache sizes.We highlight four key findings: (1) the best placement and replacement strategies depend on the cache size and vary across improvement metrics; that said, LFU+probabilistic caching [37] is a close-to-optimal strategy overall; (2) video workloads show considerable caching-related benefits (e.g., ≥ 10% traffic reduction) only with very large cache sizes (≥ 100GB); (3) the improvement in video QoE is low (≤ 12%) if the content provider already has a substantial geographical presence; and (4) caches in the middle and the edge of the network, requests from highly populated regions and without content servers, and requests for popular content contribute most to the overall ICN-induced improvements in video QoE.

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Section: Icn Visionmentioning

confidence: 64%

Trace-Driven Analysis of ICN Caching Algorithms on Video-on-Demand Workloads

Sun

Fayaz

Guo

et al. 2014

Proceedings of the 10th ACM International on Conference on Emerging Networking Experiments and Technologies

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“…In [98], AMVS-NDN (Adaptive Mobile Video Streaming and Sharing in Wireless Named Data Networking) is designed and implemented as a framework of adaptive mobile video streaming and sharing in the NDN architecture to address the video traffic problem. In AMVS-NDN, once a mobile station (MS) obtained video segments from the video server via the BS, other MSs nearby can opportunistically receive the video segment from the MS who holds the segments.…”

Section: Network Centric Optimization Based On Caching Networkmentioning

confidence: 99%

“…ICN is resorted to alleviate link traffic of mobile video streaming. In [98], an adaptive video streaming and sharing application in NDN called AMVS-NDN is designed and implemented, considering that most of MSs have multiple wireless interfaces (e.g., 3G/4G, WiFi, NFC). AMVS-NDN supports adaptive streaming strategy so that a MS dynamically decides which bit rate (segment) is suitable for the current link condition and sends the corresponding interest.…”

Section: Applications Based On Mobile Cachingmentioning

confidence: 99%

Information-centric mobile caching network frameworks and caching optimization: a survey

Jin

Zhao

et al. 2017

J Wireless Com Network

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The demand for content oriented service and compute-intensive service stimulates the shift of current cellular networks to deal with the explosive growth in mobile traffic. Information centric mobile caching network architectures have emerged in Information-Centric Networking as well as mobile cellular and ad-hoc networks deployed with caches. Caching optimization based on information centric mobile caching has become the key issue, and several significant research challenges remain to be addressed before its widespread adoption. In this paper, a brief survey on Information centric mobile caching network architecture and caching optimization is presented, including cache placement in different mobile wireless network architectures, the taxonomy of cache insertion and eviction policies, the modeling behavior of caching networks as well as caching optimization based on network centric and user centric metrics, and typical applications based on mobile caching. Finally, the research directions and open challenges are investigated.

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“…Authors of [14] realized an architecture of adaptive mobile video streaming and sharing in the named data networking (AMVS-NDN), wherein a device-to-device communication mode is triggered if two mobile stations are close enough. A demonstration performed in [15] further proved the effectiveness of introducing ICN into mobile cellular networks, which shows great reduction of content delivery time and traffic load over the mobile backhaul.…”

Section: Related Workmentioning

confidence: 99%

A cooperation-driven ICN-based caching scheme for mobile content chunk delivery at RAN

Zhang

Cao

2017

2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)

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Abstract-In order to resolve the tension between continuously growing mobile users' demands on content access and the scarcity of the bandwidth capacity over backhaul links, we propose in this paper a fully distributed ICN-based caching scheme for content objects in Radio Access Network (RAN) at eNodeBs. Such caching scheme operates in a cooperative way within neighbourhoods, aiming to reduce cache redundancy so as to improve the diversity of content distribution. The caching decision logic at individual eNodeBs allows for adaptive caching, by taking into account dynamic context information, such as content popularity and availability. The efficiency of the proposed distributed caching scheme is evaluated via extensive simulations, which show great performance gains, in terms of a substantial reduction of backhaul content traffic as well as great improvement on the diversity of content distribution, etc.

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AMVS-NDN: Adaptive mobile video streaming and sharing in wireless named data networking

Cited by 51 publications

References 7 publications

Trace-Driven Analysis of ICN Caching Algorithms on Video-on-Demand Workloads

Trace-Driven Analysis of ICN Caching Algorithms on Video-on-Demand Workloads

Information-centric mobile caching network frameworks and caching optimization: a survey

A cooperation-driven ICN-based caching scheme for mobile content chunk delivery at RAN

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