Coupling caching and forwarding

Rossini, Giuseppe; Rossi, Dario

doi:10.1145/2660129.2660153

Cited by 81 publications

(14 citation statements)

References 36 publications

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“…4. G. Rossini and D. Rossi [32] show combination of content request routing (they call forwarding F in their paper), caching decision (meta-caching algorithm D), and replacement (replacement algorithm R) plays an important role for caching network performance.…”

Section: Caching Network In Content Oriented Networkmentioning

confidence: 99%

“…Rossini and D. Rossi [32] focus on combination of content request routing and caching decision. Their performance evaluation results show that adequate combination of content request routing and caching decision will potentially bring more performance improvement.…”

Section: Performance Of Caching Networkmentioning

confidence: 99%

“…When content is cached close to the user, content retrieval delay is expected to be improved. These two simple approaches are frequently chosen as basic performance of caching decision [32], [71], in performance comparison in many papers.…”

Section: Implicit Coordinationmentioning

confidence: 99%

“…As G.Rossini and D.Rossi described in their interesting paper of performance evaluation of coupling caching and forwarding [32], cache replacement plays limited role for performance improvement. However, there have been published lots of papers concerning cache replacement.…”

Section: Cache Replacementmentioning

confidence: 99%

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A Survey of Caching Networks in Content Oriented Networks

Yamamoto

2016

IEICE Trans. Commun.

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SUMMARY Content oriented network is expected to be one of the most promising approaches for resolving design concept difference between content oriented network services and location oriented architecture of current network infrastructure. There have been proposed several content oriented network architectures, but research efforts for content oriented networks have just started and technical issues to be resolved are still remained. Because of content oriented feature, content data transmitted in a network can be reused by content requests from other users. Pervasive cache is one of the most important benefits brought by the content oriented network architecture, which forms interconnected caching networks. Caching network is the hottest research area and lots of research activities have been published. This paper surveys recent research activities for caching networks in content oriented networks, with focusing on important factors which affect caching network performance, i.e. content request routing, caching decision, and replacement policy of cache. And this paper also discusses future direction of caching network researches. key words: cache networks, content oriented networks, in-network cache

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Section: Caching Network In Content Oriented Networkmentioning

confidence: 99%

Section: Performance Of Caching Networkmentioning

confidence: 99%

Section: Implicit Coordinationmentioning

confidence: 99%

Section: Cache Replacementmentioning

confidence: 99%

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A Survey of Caching Networks in Content Oriented Networks

Yamamoto

2016

IEICE Trans. Commun.

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“…Since research on ICN is at an early stage, many key issues still remain, including scalability [3], cache management [4] and security [5]. The GreenICN (Architecture and Applications of Green Information Centric NetManuscript received May 25, 2016.…”

Section: Introductionmentioning

confidence: 99%

GreenICN Project: Architecture and Applications of Green Information Centric Networking

Tagami

Arumaithurai

2016

IEICE Trans. Commun.

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SUMMARY As a research project supported jointly by the National Institute of Information and Communications Technology (NICT) in Japan and the European Commission under its 7th Framework Program, the GreenICN Project has been in operation from 2013 to 2016. The GreenICN project focused on two typical application scenarios, one a disaster scenario and the other a video delivery scenario. The disaster scenario assumed a situation of limited resources, and the video delivery scenario assumed a situation of large-scale content delivery. In both situations, the project challenged to provide "green", i.e. energy-efficient, content delivery mechanism. For this goal, we designed an energy consumption model to lay out energy reduction policies. For the achievement of the policies, we improved ICN architecture, for example a name-based publish/subscribe mechanism, an effective cache management policy,energy-efficient security scheme and a new energy API. This paper provides a summary of our achievements and descriptions of some outcome.

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