A comparative study of Content-Centric and Content-Distribution Networks: Performance and bounds

Mangili, Michele; Martignon, Fabio; Capone, Antonio

doi:10.1109/glocom.2013.6831270

Cited by 31 publications

(21 citation statements)

References 13 publications

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“…Other authors have provided a comparison between IP-based solutions and ICN, in particular between CDN and CCN (Mangili et al, 2013;Ma and Chen, 2014), where the results reflect that the benefits of CCN depend on the particular scenario under analysis. Furthermore, CCN presents other benefits compared to IP, like integrated consumer mobility, content authentication, content replication, and so on.…”

Section: Background On Content-centric Networkingmentioning

confidence: 97%

Scalable data replication in content-centric networking based on alias names

García-Reinoso

Fernández

Vidal

et al. 2015

Journal of Network and Computer Applications

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a b s t r a c tContent-Centric Networking (CCN) is a clean-slate proposal to redesign the current Internet by focusing on the content itself, instead of the classical computer-to-computer communication. In this paper we address scalability issues of the Forwarding Information Base (FIB) in CCN. Our solution proposes both the use of hierarchical names assigned by access providers and a novel alias name architecture. With the former, we allow the aggregation of entries at the routing tables of CCN content routers, while the latter reduces the processing load at those routers when replicas exist in different parts of the network. With some minor changes to the original proposal, we provide a scalable solution for data replication in CCN, which inherently supports content mobility at the same time. We validate our scheme by (1) comparing the scalability of CCN against our proposal and by (2) implementing and testing a proof-of-concept software based on CCNx, to prove the viability of this approach.

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Section: Background On Content-centric Networkingmentioning

confidence: 97%

Scalable data replication in content-centric networking based on alias names

García-Reinoso

Fernández

Vidal

et al. 2015

Journal of Network and Computer Applications

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“…It makes CPs reduce their servers' load, ISPs offload their networks and end users experience lower latency by accessing a closer copy of the requested contents. While caching problems have been explored by a massive amount of scientific literature, at the same time the economic implications of caching are usually neglected by current work [3]- [9] and have so far received only marginal consideration [8], [10], [11]. Furthermore, even work addressing economic aspects limitedly focuses on the interaction between independently administered caching systems, thus leaving out the cache design issues that arise inside each system.…”

Section: Introductionmentioning

confidence: 99%

Cost-aware caching: Optimizing cache provisioning and object placement in ICN

Araldo¹,

Mangili²,

Martignon³

et al. 2014

2014 IEEE Global Communications Conference

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Caching is frequently used by Internet Service Providers as a viable technique to reduce the latency perceived by end users, while jointly offloading network traffic. While the cache hit-ratio is generally considered in the literature as the dominant performance metric for such type of systems, in this paper we argue that a critical missing piece has so far been neglected. Adopting a radically different perspective, in this paper we explicitly account for the cost of content retrieval, i.e. the cost associated to the external bandwidth needed by an ISP to retrieve the contents requested by its customers. Interestingly, we discover that classical cache provisioning techniques that maximize cache efficiency (i.e., the hit-ratio), lead to suboptimal solutions with higher overall cost. To show this mismatch, we propose two optimization models that either minimize the overall costs or maximize the hit-ratio, jointly providing cache sizing, object placement and path selection. We formulate a polynomialtime greedy algorithm to solve the two problems and analytically prove its optimality. We provide numerical results and show that significant cost savings are attainable via a cost-aware design.

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“…The previous studies have considered content popularity for service deployment [14,15]. In those approaches, content caching is based on popularity of content.…”

Section: Related Workmentioning

confidence: 99%

Community Model for Smart TV over the Top Services

2016

J Inf Process Syst

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We studied the current state-of-the-art of Smart TV, the challenges and the drawbacks. Mainly we discussed the lack of end-to-end solution. We then illustrated the differences between Smart TV and IPTV from network service provider point of view. Unlike IPTV, viewer of Smart TV's over-the-top (OTT) services could be global, such as foreign nationals in a country or viewers having special viewing preferences. Those viewers are sparsely distributed. The existing TV service deployment models over Internet are not suitable for such viewers as they are based on content popularity, hence we propose a community based service deployment methodology with proactive content caching on rendezvous points (RPs). In our proposal, RPs are intermediate nodes responsible for caching routing and decision making. The viewer's community formation is based on geographical locations and similarity of their interests. The idea of using context information to do proactive caching is itself not new, but we combined this with "in network caching" mechanism of content centric network (CCN) architecture. We gauge the performance improvement achieved by a community model. The result shows that when the total numbers of requests are same; our model can have significantly better performance, especially for sparsely distributed communities.

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A comparative study of Content-Centric and Content-Distribution Networks: Performance and bounds

Cited by 31 publications

References 13 publications

Scalable data replication in content-centric networking based on alias names

Scalable data replication in content-centric networking based on alias names

Cost-aware caching: Optimizing cache provisioning and object placement in ICN

Community Model for Smart TV over the Top Services

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