Content-Centric Networking (CCNx) Messages in TLV Format

Mosko, Marc; Solís, Ignacio; Wood, Christopher A.

doi:10.17487/rfc8609

Cited by 25 publications

(7 citation statements)

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“…We are currently developing an open source software router called "Cefore" that will enable ICN communications [26], [27]. Cefore is compliant with CCNx defined in RFC8569 [28] and RFC8609 [29] and works over the Internet as a software router that supports TCP/UDP applications by using the IP tunnel as recommended in RFC8763. Our assumed deployment model is not limited to the ICN-as-a-Overlay scheme; it can also be used in the ICN-as-a-Slice scheme [30].…”

Section: Discussionmentioning

confidence: 99%

QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking

Hayamizu¹,

Goto

Bandai

et al. 2021

IEEE Access

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Adaptive Bitrate (ABR) algorithms used in MPEG Dynamic Adaptive Streaming over HTTP (MPEG-DASH) can be applied to video streaming over Information-Centric Networks (ICNs). However, in-network cache, which is an inherent and important feature of ICN, might negatively affect the Quality of Experience (QoE) of streaming users due to misestimating download throughput when fetching from the in-network cache. A promising solution to this problem is to use a Server and Network Assisted DASH (SAND)-like approach: ICN routers in the network notify a user application of the available bandwidth. However, with a naive network-assisted approach, the user application cannot fully utilize the cached segments when high-quality video segments are accidentally stored in the router on the user side of the congestion. In this paper, we propose an intelligent QoE-aware ABR selection method that works in cooperation with in-network Caching functions, called QoE-ABC. It is suitable for video streaming over an ICN. In QoE-ABC, QoE-aware adaptation logic running on the user application selects a bitrate that matches the bandwidth of the bottleneck in the original server or of any intermediate router on the download path depending on the situation. Only when the user-perceived QoE is expected to be improved, the user application tries to aggressively download high-quality segments from the in-network cache. Simulation results show that QoE-ABC can obtain high-quality video segments from in-network caches compared with the conventional ABR representatives and achieve high-level QoE performance for users with various preferences.

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Section: Discussionmentioning

confidence: 99%

QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking

Hayamizu¹,

Goto

Bandai

et al. 2021

IEEE Access

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“…In 2020, to facilitate the transition from ICN research to live deployments, ICNRG provided a number of deployment considerations in [179]. Besides, there have been two experimental RFCs: [198] specifies CCNx message encoding in a type-length-value (TLV) packet format, and [199] specifies the CCNx semantics, i.e., the set of mandatory/optional fields within the interests and content objects messages, as well as their behavior and interpretation.…”

Section: Standardizationmentioning

confidence: 99%

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

Gûr

Kalla

Alwis

et al. 2022

IEEE Open J. Commun. Soc.

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Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves cloud-based processing and storage capabilities closer to the mobile users by implementing server resources in the access nodes. MEC helps fulfill the stringent requirements of 5G and beyond networks to offer anytime-anywhere connectivity for many devices with ultra-low delay and huge bandwidths. Information-Centric Networking (ICN) is another prominent network technology that builds on a content-centric network architecture to overcome host-centric routing/operation shortcomings and to realize efficient pervasive and ubiquitous networking. It is envisaged to be employed in Future Internet including Beyond 5G (B5G) networks. The consolidation of ICN with MEC technology offers new opportunities to realize that vision and serve advanced use cases. However, various integration challenges are yet to be addressed to enable the wide-scale co-deployment of ICN with MEC in future networks. In this paper, we discuss and elaborate on ICN MEC integration to provide a comprehensive survey with a forwardlooking perspective for Beyond 5G networks. In that regard, we deduce lessons learned from related works (for both 5G and Beyond 5G networks). We present ongoing standardization activities to highlight practical implications of such efforts. Moreover, we render key B5G use cases and highlight the role for ICN MEC integration for addressing their requirements. Finally, we layout research challenges and identify potential research

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“…We focus now on CCN, as it is one of the most visible research efforts. The Named-Data Networking project [34,35], which evolved out of CCN, was one of the Future Internet Architecture (FIA) programs funded by NSF and CCN has been pushed towards standardization as a suite of informational RFCs in the IRTF [36,37,38].…”

Section: Ninmentioning

confidence: 99%

An overview of technical developments and advancements for the future of networking

Eckert¹,

Lin²,

Li³

et al. 2022

ITU J-FET

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It has been forty years since TCP/IP was standardized as RFC 793. The spectacular success of the Internet has validated the design choices of its protocols and architecture. However, the evolution of the services and applications running over the Internet, new societal requirements and the general unavoidable obsolescence of any protocol will at some point require rethinking the current protocols and potentially replacing them with new ones. New technology has emerged in limited domains networks, such as data centers, that may hint at a way forward for the overall Internet architecture. We present an overview of the recent and current work on post-IP networking and discuss the drivers and motivations that will push us to reimagine IP.

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Content-Centric Networking (CCNx) Messages in TLV Format

Cited by 25 publications

References 0 publications

QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking

QoE-Aware Bitrate Selection in Cooperation With In-Network Caching for Information-Centric Networking

Integration of ICN and MEC in 5G and Beyond Networks: Mutual Benefits, Use Cases, Challenges, Standardization, and Future Research

An overview of technical developments and advancements for the future of networking

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