2014
DOI: 10.1016/j.jnca.2014.03.005
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An efficient caching algorithm for peer-to-peer 3D streaming in distributed virtual environments

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Cited by 9 publications
(3 citation statements)
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References 34 publications
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“…Wang et al 20 constructed user interest clusters (paths) by analyzing avatar's behavior and node interest similarity, and then performed cache management based on the commonality of user scene data in the same cluster. Jia et al 35 proposed 3D object preservation metric composed of visual saliency degree, reusability degree, and so forth, and based on this, a cache management method in the P2P DVE is proposed. The other research also focuses on GIS/3Dtile data.…”
Section: Cache Managementmentioning
confidence: 99%
“…Wang et al 20 constructed user interest clusters (paths) by analyzing avatar's behavior and node interest similarity, and then performed cache management based on the commonality of user scene data in the same cluster. Jia et al 35 proposed 3D object preservation metric composed of visual saliency degree, reusability degree, and so forth, and based on this, a cache management method in the P2P DVE is proposed. The other research also focuses on GIS/3Dtile data.…”
Section: Cache Managementmentioning
confidence: 99%
“…Over the last fifteen years, peer-to-peer (P2P) computing has become explosively popular, particularly for massive file sharing [23,32,13] and multimedia Internet streaming [19,40,42], whereas very high scalability has also been sought more recently in additional application domains, namely online gaming and location-aware services.…”
Section: Introductionmentioning
confidence: 99%
“…Peer-to-peer (P2P) architectures were proposed as cheaper, alternative approaches to the traditional client/server (C/S) architecture [1,10] in distributed virtual environments [12,20] and 3D streaming applications [3,8,9]. These architectures inherently yield lower infrastructure costs and higher scalability than the C/S scheme, but they cannot guarantee a continuous availability of all the information, because it is distributed among several peers, which are expected to constantly leave or join the network in an unpredictable way.…”
Section: Introductionmentioning
confidence: 99%