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首页> 外文期刊>IEEE transactions on wireless communications >Optimal Storage Allocation for Wireless Cloud Caching Systems With a Limited Sum Storage Capacity
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Optimal Storage Allocation for Wireless Cloud Caching Systems With a Limited Sum Storage Capacity

机译：总存储容量有限的无线云缓存系统的最佳存储分配

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摘要

In wireless cloud storage systems, the recovery failure probability depends on not only wireless channel conditions but also storage size of each distributed storage node. For an efficient utilization of limited storage capacity and the performance characterization of allocation strategies, we asymptotically analyze the recovery failure probability of a wireless cloud storage system with a sum storage capacity constraint for both high signal-to-noise ratio (SNR) regime and low SNR regime. Then, we find the optimal storage allocation strategy across distributed storage nodes in terms of the asymptotic recovery failure probability. Our analysis reveals that the maximal symmetric allocation is optimal for high SNR regime and the minimal allocation (with ⌊T⌋ complete storage nodes and an incomplete storage node) is optimal for low SNR regime, where T is the sum storage capacity. Based on the numerical investigation, we also show that in intermediate SNR regime, a balance allocation between the minimal allocation and the maximal symmetric allocation would not be required if we select one between them according to SNR.
机译：在无线云存储系统中，恢复失败的概率不仅取决于无线通道状况，还取决于每个分布式存储节点的存储大小。为了有效利用有限的存储容量和分配策略的性能特征，我们渐近分析了具有高信噪比（SNR）和低信噪比的总存储容量约束的无线云存储系统的恢复失败概率SNR机制。然后，根据渐近恢复故障概率，找到跨分布式存储节点的最佳存储分配策略。我们的分析表明，最大对称分配对于高SNR机制而言是最优的，而最小分配（具有完整存储节点和不完整的存储节点）对于低SNR机制而言是最优的，其中T是总存储容量。基于数值研究，我们还表明，在中等SNR体制下，如果根据SNR在最小分配和最大对称分配之间进行选择，则不需要平衡分配。

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