Time-Shifted TV in Content Centric Networks: The Case for Cooperative In-Network Caching

Li, Zhe; Simon, Gwendal

doi:10.1109/icc.2011.5963380

Cited by 111 publications

(70 citation statements)

References 16 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: 95%

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: 95%

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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show abstract

“…If this latter is closer to the requester, the content will be copied with higher probability thus quickly pushing it to the network edge and reducing the number of copies. Vice versa, an explicit coordination scheme called Cooperative In-Network Caching is proposed in [10], where nodes in the neighbourhood cooperate to cache the data without duplications. When a Data packet arrives at a caching node, it uses a hash function to determine in which of its neighbours (including itself) to cache the packet.…”

Section: Caching Strategies and Replacement Policiesmentioning

confidence: 99%

On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT

Hail

Amadeo

Molinaro

et al. 2015

Lecture Notes in Computer Science

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Abstract. Information-Centric Networking (ICN) is a communication paradigm for the future Internet that matches the pattern of informationoriented applications and provides in-network caching. Thanks to such properties, ICN has been recently considered as a solution for the IoT. However, IoT shows challenging features: many devices are resourceconstrained and applications usually originate transient information. As a consequence, ICN-IoT solutions requires new design choices. Among them, it is crucial understanding if constrained devices can successfully implement ICN caching and forwarding functionalities, and what are the delivery performance. To provide hints in such a context, in this paper we evaluate the performance of different caching/replacement policies and forwarding strategies in an ICN-IoT wireless network. A novel forwarding scheme is also defined to reduce the load on constrained devices. Simulation results show that the devised caching and forwarding operations are beneficial for delivery performance: they reduce the traffic volume and save the devices' energy resources.

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“…In [19], the authors presented time-shifted TV in CCN and proposed cooperative in-network caching using hash based scheme for video contents. In [20], the authors combined the traditional hash-based and directory-based cooperative caching schemes to treat the large video streams with on-demand access.…”

Section: Related Workmentioning

confidence: 99%

“…In original CCN [8], routers flood the Interest to all physical interfaces to find the Data inside the network. In [19] and [3], each router has ranked the interfaces and choose the best path to retrieve the requested Data. If the requested Data is not delivered by the best path, router selects the second best interface to forward the Interest again.…”

Section: Related Workmentioning

confidence: 99%

Management of scalable video streaming in information centric networking

Ullah

Thar

Hong

2016

Multimed Tools Appl

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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.

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Time-Shifted TV in Content Centric Networks: The Case for Cooperative In-Network Caching

Cited by 111 publications

References 16 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

On the Performance of Caching and Forwarding in Information-Centric Networking for the IoT

Management of scalable video streaming in information centric networking

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