A novel cache size optimization scheme based on manifold learning in Content Centric Networking

Xu, Yuelei; Li, Yang; Lin, Tao; Wang, Zihou; Niu, Wenjia; Tang, Hui; Ci, Song

doi:10.1016/j.jnca.2013.03.002

Cited by 35 publications

(13 citation statements)

References 18 publications

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“…Cache size allocation schemes have been the subject of other studies, which are closer to our contribution in this paper such as [8,[11][12][13]. The centrality metrics of routers have been considered in [8] and been found that the achievable gain with the non-uniform cache size allocation method is not significantly better in comparison with uniform cache size allocation scheme.…”

Section: Introductionmentioning

confidence: 84%

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Non-uniform EWMA-PCA based cache size allocation scheme in Named Data Networks

Mehran

Movahhedinia

2017

Sci. China Inf. Sci.

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As a data-centric cache-enabled architecture, Named Data Networking (NDN) is considered to be an appropriate alternative to the current host-centric IP-based Internet infrastructure. Leveraging innetwork caching, name-based routing, and receiver-driven sessions, NDN can greatly enhance the way Internet resources are being used. A critical issue in NDN is the procedure of cache allocation and management. Our main contribution in this research is the analysis of memory requirements to allocate suitable Content-Store size to NDN routers, with respect to combined impacts of long-term centrality-based metric and Exponential Weighted Moving Average (EWMA) of short-term parameters such as users behaviours and outgoing traffic.To determine correlations in such large data sets, data mining methods can prove valuable to researchers. In this paper, we apply a data-fusion approach, namely Principal Component Analysis (PCA), to discover relations from short-and long-term parameters of the router. The output of PCA, exploited to mine out raw data sets, is used to allocate a proper cache size to the router. Evaluation results show an increase in the hit ratio of Content-Stores in sources, and NDN routers. Moreover, for the proposed cache size allocation scheme, the number of unsatisfied and pending Interests in NDN routers is smaller than the Degree-Centrality cache size scheme.

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Section: Introductionmentioning

confidence: 84%

“…Authors in [11] have introduced a novel cache size optimization scheme and classify cache routers based on their roles in content delivery. The information about users' behavior and network traffic distribution are collected by the number of received requests, requests served and content replacements.…”

Section: Introductionmentioning

confidence: 99%

Non-uniform EWMA-PCA based cache size allocation scheme in Named Data Networks

Mehran

Movahhedinia

2017

Sci. China Inf. Sci.

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“…To overcome the problem, a new cache size optimization scheme is presented in [45], which continues to allocate more cache size to the "important" content routers, just as the above mentioned scheme does. However, it determines a content router's important property in terms of both traffic distribution and user behaviors.…”

Section: ) Heterogeneous Cache Provisionmentioning

confidence: 99%

A Survey of Caching Mechanisms in Information-Centric Networking

Zhang

Luo

Zhang

2015

IEEE Commun. Surv. Tutorials

322

155

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Information-Centric Networking (ICN) is a novel networking paradigm that attracts increasing research interests in recent years. In-network caching has been viewed as an attractive feature of ICN because it can reduce network traffic, alleviate server bottleneck, and reduce the user access latencies. Because of this, the network community has proposed many innetwork caching mechanisms that aim at optimizing various performance metrics such as cache hit ratio and cache hit distance. In this survey, we present a comprehensive overview of the recently proposed in-network caching mechanisms for ICN. For each caching mechanism, we describe it in detail, present examples to illustrate how it works, and analyze its possible benefits and drawbacks. We also compare some typical in-network caching mechanisms through extensive simulations and discuss the remaining research challenges.

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“…The concept of ICN led to several forwarding and caching optimizations to improve content delivery [9] [10] [11].…”

Section: Introductionmentioning

confidence: 99%

QuLa: Service Selection and Forwarding Table Population in Service-Centric Networking Using Real-Life Topologies

Smet

Dhoedt

Simoens

2016

2016 24th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP)

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Abstract-The amount of services located in the network has drastically increased over the last decade which is why more and more datacenters are located at the network edge, closer to the users. In the current Internet it is up to the client to select a destination using a resolution service (Domain Name System, Content Delivery Networks ...). In the last few years, research on Information-Centric Networking (ICN) suggests to put this selection responsibility at the network components; routers ¿nd the closest copy of a content object using the content name as input.We extend the principle of ICN to services; service routers forward requests to service instances located in datacenters spread across the network edge. To solve this problem, we ¿rst present a service selection algorithm based on both server and network metrics. Next, we describe a method to reduce the state required in service routers while minimizing the performance loss caused by this data reduction. Simulation results based on real-life networks show that we are able to ¿nd a near-optimal load distribution with only minimal state required in the service routers.

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A novel cache size optimization scheme based on manifold learning in Content Centric Networking

Cited by 35 publications

References 18 publications

Non-uniform EWMA-PCA based cache size allocation scheme in Named Data Networks

Non-uniform EWMA-PCA based cache size allocation scheme in Named Data Networks

A Survey of Caching Mechanisms in Information-Centric Networking

QuLa: Service Selection and Forwarding Table Population in Service-Centric Networking Using Real-Life Topologies

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