What to cache: differentiated caching resource allocation and management in information-centric networking

Huo, Ru; Xie, Renchao; Zhang, Hengyang; Huang, Tao; Liu, Yunjie

doi:10.1109/cc.2016.7897549

Cited by 12 publications

(5 citation statements)

References 8 publications

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“…Homogeneous cache resource allocation, which means that all the nodes are equipped with the same size of cache space, has been used by default in many studies. Huo et al mainly focused on differentiated caching for different classes of content, for the sake of avoiding the waste of caching resources and enhancing the cache availability [15]. The authors of Reference [16] allocated cache space in terms of game theory and they used a sequential auction mechanism to maximize social welfare.…”

Section: Cache Resource Allocationmentioning

confidence: 99%

An On-Path Caching Scheme Based on the Expected Number of Copies in Information-Centric Networks

Wang

Han

2020

Electronics

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The Information-Centric Network (ICN) is one of the most influential future network architectures and in-network caching in ICN brings some helpful features, such as low latency and mobility support. How to allocate cache capacity and place content properly will greatly influence the performance of ICN. This paper focuses on the cache allocation problem and content placement problem under the given cache space budget. Firstly, a lightweight allocation method utilizing information of both topology and content popularity is proposed, to allocate cache space and get the expected number of copies of popular content. The expected number of copies represents the number of content copies placed in the topology. Then, an on-path caching scheme based on the expected number of copies is proposed to handle the content placement problem. In the cache allocation scenario, the lightweight allocation method performs better than other baseline methods. In the content placement scenario, Leave Copy Down (LCD) based on the expected number of copies performs the second-best and is very close to Optimal Content Placement (OCP).

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Section: Cache Resource Allocationmentioning

confidence: 99%

An On-Path Caching Scheme Based on the Expected Number of Copies in Information-Centric Networks

Wang

Han

2020

Electronics

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“…In addition, there are content-based caching strategies that attempt to classify content to improve cache resource utilization. For example, authors found that some content has low reusability and some content has high timeliness by analyzing the content of the request [24]. Based on this, the content is divided into different categories, and the cache strategy adjusts the proportion of each part of the content in the cache node according to the characteristics of the content class.…”

Section: Popularity-based Cachingmentioning

confidence: 99%

Analysis of research on satellite network caching mechanism based on ICN

Liu

2020

MATEC Web Conf.

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ICN was introduced into satellite networks to meet the growing demand for content acquisition. The caching mechanism is one of the most critical parts that profoundly affects the performance of the network. Based on the application background of satellite networks, the working mechanism of ICN and its technical advantages in introducing satellite networks are elaborated. The application status of ICN cache in satellite networks is analyzed to explore the applicability of existing caching mechanism in satellite networks, and the development and challenges of ICN caching mechanism in satellite network are analyzed.

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“…Adicionalmente, comparando-se as políticas de substituição de cache, LFU obtém melhor desempenho que LRU para conteúdos homogêneos. Este conceito de perfis de aplicação tambémé observado em [Huo et al 2016]. Os autores categorizam as aplicações em cinco classes de prioridade, variando de acesso web ordinário, até streaming multimídia.…”

Section: Trabalhos Correlatosunclassified

Análise de Perfis de Usuários de Música e Seus Impactos no Desempenho de Políticas de Substituição de Cache

Pires

Araújo

Freitas

et al. 2019

Anais Do XXXVII Simpósio Brasileiro De Redes De Computadores E Sistemas Distribuídos (SBRC 2019)

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A exploração de padrões do comportamento humano é tema central e norteador no desenvolvimento de novas aplicações e soluções tecnológicas. No entanto, poucos trabalhos investigam como hábitos de usuários podem melhorar o desempenho de arquiteturas de Redes Centradas na Informação. Este trabalho apresenta uma análise de perfis comportamentais de usuários de música e como diferentes perfis influenciam o desempenho de políticas de substituição de cache. Os resultados de um estudo experimental utilizando o ndnSIM com traces reais de diversos usuários, mostram que os hábitos do usuário são fatores determinantes na escolha de uma política de substituição de cache otimizada. As investigações também revelam que a distribuição de popularidade das músicas segue uma aproximação da Lei de Benford, e é possível diferenciar o perfil dos usuários de acordo com o comportamento da curva de Benford das músicas acessadas.

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What to cache: differentiated caching resource allocation and management in information-centric networking

Cited by 12 publications

References 8 publications

An On-Path Caching Scheme Based on the Expected Number of Copies in Information-Centric Networks

An On-Path Caching Scheme Based on the Expected Number of Copies in Information-Centric Networks

Analysis of research on satellite network caching mechanism based on ICN

Análise de Perfis de Usuários de Música e Seus Impactos no Desempenho de Políticas de Substituição de Cache

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