Caching‐enabled networks and its applications into the emerging networking paradigms and technologies

Lv, Jianhui; Wang, Xingwei; Li, Qing; Pan, Tian

doi:10.1002/itl2.316

Cited by 2 publications

(2 citation statements)

References 29 publications

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“…9 In this way, we also design a kind of distributed public opinion collection and caching strategy, which is used to positively realize the dissemination of the public opinion. 10 Specifically, public opinion collection is used to ensure the timeliness of epidemic information, while public opinion cache is to cache the corresponding public opinion content closer to users and obtain it faster. The experimental results show that the proposed distributed public opinion collection and caching mechanism can effectively improve the speed and hit rate of public opinion acquisition.…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, this paper constructs a network public opinion collection and caching system based on the ICN architecture 9 . In this way, we also design a kind of distributed public opinion collection and caching strategy, which is used to positively realize the dissemination of the public opinion 10 . Specifically, public opinion collection is used to ensure the timeliness of epidemic information, while public opinion cache is to cache the corresponding public opinion content closer to users and obtain it faster.…”

Section: Introductionmentioning

confidence: 99%

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Information‐Centric Networking based content collection and caching mechanism for network public opinion

Chen

2022

Internet Technology Letters

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With the global influence of the COVID epidemic, network public opinion control is particularly important especially for the purpose of stabilizing the panic at home and abroad. Effective public opinion collection and caching mechanism has a positive significance for the rapid spread of network public opinion. Therefore, by analyzing the accurate and rapid requirements of public opinion communication, this paper introduces the concept of Information-Centric Networking (ICN) to build a public opinion communication system. At the same time, the corresponding public opinion collection and caching mechanism is designed to optimize the dissemination process of the public opinion. The natural distributed structure of ICN makes the process of public opinion collection and caching distributed. Specifically, a suitable cache server is added between different public opinion collection servers via the distributed search engines.The experimental results show that the proposed distributed public opinion collection and caching mechanism can effectively deal with the spread of public opinion under the environment of the global COVID epidemic, including improving the accuracy of the public opinion transmission in time.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Information‐Centric Networking based content collection and caching mechanism for network public opinion

Chen

2022

Internet Technology Letters

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Quality-of-Service-Linked Privileged Content-Caching Mechanism for Named Data Networks

Shrisha

Boregowda

2022

Future Internet

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The domain of information-centric networking (ICN) is expanding as more devices are becoming a part of connected technologies. New methods for serving content from a producer to a consumer are being explored, and Named Data Networking (NDN) is one of them. The NDN protocol routes the content from a producer to a consumer in a network using content names, instead of IP addresses. This facility, combined with content caching, efficiently serves content for very large networks consisting of a hybrid and ad hoc topology with both wired and wireless media. This paper addresses the issue of the quality-of-service (QoS) dimension for content delivery in NDN-based networks. The Internet Engineering Task Force (IETF) classifies QoS traffic as (prompt, reliable), prompt, reliable, and regular, and assigns corresponding priorities for managing the content. QoS-linked privileged content caching (QLPCC) proposes strategies for Pending Interest Table (PIT) and content store (CS) management in dedicated QoS nodes for handling priority content. QoS nodes are intermediately resourceful NDN nodes between content producers and consumers which specifically manage QoS traffic. The results of this study are compared with EQPR, PRR probability cache, and Least Frequently Used (LFU) and Least Fresh First (LFF) schemes, and QLPCC outperformed the latter-mentioned schemes in terms of QoS-node CS size vs. hit rate (6% to 47%), response time vs, QoS-node CS size (65% to 90%), and hop count vs. QoS-node CS size (60% to 84%) from the perspectives of priority traffic and overall traffic. QLPCC performed predictably when the NDN node count was increased from 500 to 1000, showing that the strategy is scalable.

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Caching‐enabled networks and its applications into the emerging networking paradigms and technologies

Cited by 2 publications

References 29 publications

Information‐Centric Networking based content collection and caching mechanism for network public opinion

Information‐Centric Networking based content collection and caching mechanism for network public opinion

Quality-of-Service-Linked Privileged Content-Caching Mechanism for Named Data Networks

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