Optimum caching strategies for a telco CDN

Vleeschauwer, Danny De; Robinson, Dave C.

doi:10.1002/bltj.20506

Cited by 22 publications

(13 citation statements)

References 36 publications

(37 reference statements)

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“…Intermediate cache nodes and leaf cache nodes distribute two kind of contents: VoD and live-TV. VoD contents are prepared in intermediate cache nodes and stored in leaf caches based on its popularity (see e.g., [13]). Nonetheless, in line with [23], live-TV is distributed from intermediate cache nodes and locally prepared in those leaf cache nodes delivering every specific TV channel to the users.…”

Section: A Cdn Architecturementioning

confidence: 99%

“…The solution leverages SDN technology improve network utilization and increasing the Quality of Experience for the end-user. Related to this, authors in [13] proposed a hierarchical telecom CDN and a caching algorithm to decide which objects to cache and a cache collaboration strategy to determine how cacheable items are propagated throughout the telecom CDN. In [14] authors studied the performance of distributing caches and the impact of its size and the cache update logic for VoD services, e.g.…”

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confidence: 99%

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Big Data-backed video distribution in the telecom cloud

Ruiz

Germán

Contreras

et al. 2016

Computer Communications

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Telecom operators are starting the deployment of Content Delivery Networks (CDN) to better control and manage video contents injected into the network. Cache nodes placed close to end users can manage contents and adapt them to users' devices, while reducing video traffic in the core. By adopting the standardized MPEG-DASH technique, video contents can be delivered over HTTP. Thus, HTTP servers can be used to serve contents, while packagers running as software can prepare live contents. This paves the way for virtualizing the CDN function. In this paper, a CDN manager is proposed to adapt the virtualized CDN function to current and future demand. A Big Data architecture, fulfilling the ETSI NFV guide lines, allows controlling virtualized components while collecting and pre-processing data. Optimization problems minimize CDN costs while ensuring the highest quality. Re-optimization is triggered based on threshold violations; data stream mining sketches transform collected into modeled data and statistical linear regression and machine learning techniques are proposed to produce estimation of future scenarios. Exhaustive simulation over a realistic scenario reveals remarkable costs reduction by dynamically reconfiguring the CDN.Peer ReviewedPostprint (author's final draft

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Section: A Cdn Architecturementioning

confidence: 99%

mentioning

confidence: 99%

Big Data-backed video distribution in the telecom cloud

Ruiz

Germán

Contreras

et al. 2016

Computer Communications

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“…1. [1], [15]. The Hypertext Transfer Protocol (HTTP) is used for describing the requested content by its uniform resource identifier (URI) [14].…”

Section: System Modelmentioning

confidence: 99%

“…However, sitting outside networks provided by Internet service providers (ISPs), a CDN server cannot reduce traffic on the transit or peering links that connect the ISP network with the Internet backbone and other ISP networks [1]. However, sitting outside networks provided by Internet service providers (ISPs), a CDN server cannot reduce traffic on the transit or peering links that connect the ISP network with the Internet backbone and other ISP networks [1].…”

Section: Introductionmentioning

confidence: 99%

Popularity–Based Adaptive Content Delivery Scheme with In-Network Caching

Kim¹,

Lee²,

Choi³

2014

ETRI J

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To solve the increasing popularity of video streaming services over the Internet, recent research activities have addressed the locality of content delivery from a network edge by introducing a storage module into a router. To employ in‐network caching and persistent request routing, this paper introduces a hybrid content delivery network (CDN) system combining novel content routers in an underlay together with a traditional CDN server in an overlay. This system first selects the most suitable delivery scheme (that is, multicast or broadcast) for the content in question and then allocates an appropriate number of channels based on a consideration of the content's popularity. The proposed scheme aims to minimize traffic volume and achieve optimal delivery cost, since the most popular content is delivered through broadcast channels and the least popular through multicast channels. The performance of the adaptive scheme is clearly evaluated and compared against both the multicast and broadcast schemes in terms of the optimal in‐network caching size and number of unicast channels in a content router to observe the significant impact of our proposed scheme.

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“…Similar studies are also presented in . With the exploding high definition video streaming traffic, telco content delivery network, a network enabler that saves a huge amount of traffic on the links toward the Internet, is new content distribution services managed by Internet service providers . In order to meet the increasing demand of video‐on‐demand services, many researches on the peer‐to‐peer (P2P) mesh‐based video transmission mechanism have been carried out .…”

Section: Introductionmentioning

confidence: 99%

A QoE centric distributed caching approach for vehicular video streaming in cellular networks

Sun

Liu

Hou

et al. 2015

Wireless Communications

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Distributed caching‐empowered wireless networks can greatly improve the efficiency of data storage and transmission and thereby the users' quality of experience (QoE). However, how this technology can alleviate the network access pressure while ensuring the consistency of content delivery is still an open question, especially in the case where the users are in fast motion. Therefore, in this paper, we investigate the caching issue emerging from a forthcoming scenario where vehicular video streaming is performed under cellular networks. Specifically, a QoE centric distributed caching approach is proposed to fulfill as many users' requests as possible, considering the limited caching space of base stations and basic user experience guarantee. Firstly, a QoE evaluation model is established using verified empirical data. Also, the mathematic relationship between the streaming bit rate and actual storage space is developed. Then, the distributed caching management for vehicular video streaming is formulated as a constrained optimization problem and solved with the generalized–reduced gradient method. Simulation results indicate that our approach can improve the users' satisfaction ratio by up to 40%. Copyright © 2015 John Wiley & Sons, Ltd.

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Optimum caching strategies for a telco CDN

Cited by 22 publications

References 36 publications

Big Data-backed video distribution in the telecom cloud

Big Data-backed video distribution in the telecom cloud

Popularity–Based Adaptive Content Delivery Scheme with In-Network Caching

A QoE centric distributed caching approach for vehicular video streaming in cellular networks

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