Revisiting core traffic growth in the presence of expanding CDNs

Moreno-Muro, Francisco-Javier; Skorin-Kapov, Nina; Pavón‐Mariño, Pablo

doi:10.1016/j.comnet.2019.03.005

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…This particular latency reduction obtained by eDCs is an important enabler of some 5G use cases. Moreover, eDCs offload the traffic from the core network, potentially reducing the total traffic carried, and allowing for a longer lifetime of currently deployed core networks . The use of eDCs is also beneficial in terms of resilience.…”

Section: Attack‐resilient Content Placement Frameworkmentioning

confidence: 99%

“…For instance, 4K and/or 360° video streaming, augmented and virtual reality (AR/VR), or remote machinery control applications require high throughput, low latency, and high reliability to provide satisfying user experience. Content delivery network (CDNs) are used to improve latency and robustness , and alleviate the traffic in core networks , by replicating content across large‐scale data centers (DCs) at geographically disjoint locations. However, the original CDN architecture cannot offer as low latency levels as some of the emerging applications require.…”

Section: Introductionmentioning

confidence: 99%

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Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks

et al. 2020

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High throughput, resilience, and low latency requirements drive the development of 5G‐enabled content delivery networks (CDNs) which combine core data centers (cDCs) with edge data centers (eDCs) that cache the most popular content closer to the end users for traffic load and latency reduction. Deployed over the existing optical network infrastructure, CDNs are vulnerable to link cut attacks aimed at disrupting the overlay services. Planning a CDN to balance the stringent service requirements and increase resilience to attacks in a cost‐efficient way entails solving the content placement problem (CPP) across the cDCs and eDCs. This article proposes a framework for finding Pareto‐optimal solutions with minimal user‐to‐content distance and maximal robustness to targeted link cuts, under a defined budget. We formulate two optimization problems as integer linear programming (ILP) models. The first, denoted as K‐best CPP with minimal distance (K‐CPP‐minD), identifies the eDC/cDC placement solutions with minimal user‐to‐content distance. The second performs critical link set detection to evaluate the resilience of the K‐CPP‐minD solutions to targeted fiber cuts. Extensive simulations verify that the eDC/cDC selection obtained by our models improves network resilience to link cut attacks without adversely affecting the user‐to‐content distances or the core network traffic mitigation benefits.

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Section: Attack‐resilient Content Placement Frameworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks

et al. 2020

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“…One of the urgent issues to be solved is a safe, comfortable, and quick way of commuting for the residents of urban agglomerations. However, along with overloaded and rapidly expanding urban space, along with modernization of the existing road infrastructure, the growth of traffic level is also significant [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Development of Comfort and Safety Performance of Passenger Seats in Large City Buses

et al. 2021

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A bus seat needs to be designed ergonomically for better seating comfort. The present study is intended to develop a cost-effective ergonomic bus seat design based on seat comfort and safety demands. As part of the proposed seat design procedure, seating comfort analysis, identifying preferred design features, and developing a seat design are included. An analysis of the bus seat back and seat pan profiles was conducted. Based on the results of the comfort analysis, the authors identified the preferred design features of bus seats during the design identification process. An improved bus seat prototype was developed based on selected design features in the design development stage. Seating comfort analyses were used to compare the achieved seat with the reference seat. The seat design developed in the present study may be applicable for various types of bus public transport.

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“…However, the publish-subscribe model can lead to a bandwidth bottleneck in the backbone network in the traditional Internet protocol-(IP-) based network architecture. For a large-scale content service, the subscribers' considerable data transmission volume will converge to the backbone network [2]. For alleviating this problem, information-centric networking (ICN) [3,4] is proposed.…”

Section: Introductionmentioning

confidence: 99%

Popularity‐Aware In‐Network Caching for Edge Named Data Network

Yin

Jiang

Mino

et al. 2021

Wireless Communications and Mobile Computing

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The traditional centralized network architecture can lead to a bandwidth bottleneck in the core network. In contrast, in the information-centric network, decentralized in-network caching can alleviate the traffic flow pressure from the network center to the edge. In this paper, a popularity-aware in-network caching policy, namely, Pop, is proposed to achieve an optimal caching of network contents in the resource-constrained edge networks. Specifically, Pop senses content popularity and distributes content caching without adding additional hardware and traffic overhead. We conduct extensive performance evaluation experiments by using ndnSIM. The experiments showed that the Pop policy achieves 54.39% cloud service hit reduction ratio and 22.76% user request average hop reduction ratio and outperforms other policies including Leave Copy Everywhere, Leave Copy Down, Probabilistic Caching, and Random choice caching. In addition, we proposed an ideal caching policy (Ideal) as a baseline whose popularity is known in advance; the gap of Pop and Ideal in cloud service hit reduction ratio is 4.36%, and the gap in user request average hop reduction ratio is only 1.47%. More simulation results further show the accuracy of Pop in perceiving popularity of contents, and Pop has good robustness in different request scenarios.

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Revisiting core traffic growth in the presence of expanding CDNs

Cited by 6 publications

References 14 publications

Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks

Content placement in 5G‐enabled edge/core data center networks resilient to link cut attacks

Development of Comfort and Safety Performance of Passenger Seats in Large City Buses

Popularity‐Aware In‐Network Caching for Edge Named Data Network

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