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Joint Selection of Providers and the New Corner for Optimal Repair in Distributed Storage Network with Network Coding

机译:具有网络编码的分布式存储网络中的提供商和新角度的联合选择

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In distributed storage networks (DSN), server failures occur frequently. Although network coding can provide high reliability of storage in DSN, to maintain reliability, a new server, named the new corner, should be firstly implemented to replace the failed server. Then, new corner should download enough data from multiple storage servers, called provider selected from surviving servers to regenerate the lost data. Therefore, the providers, new corner and data routing have a great impact on regeneration time during repair process. In this paper, we jointly consider the providers and new corner selection (JPNS) problem with two objectives of minimizing regeneration time and minimizing transmission cost under the minimum regeneration time guarantee. Specifically, for the first objective, we firstly model the JPNS problem as a mathematical programming and formulate it as an integer linear programming (ILP). We also propose a Heuristic Providers and New Corner Selection (HPNS) algorithm. For the second objective, based on the α providers and a new comer selected by the HPNS algorithm, we give a linear programming (LP) to optimally obtain the routing paths and flows from these providers to the new comer with minimum transmission cost. Finally, we conduct extensive simulation experiments and the results show the effectiveness of the proposed algorithms.
机译:在分布式存储网络(DSN)中,服务器故障频繁发生。虽然网络编码可以在DSN中提供高可靠性,但是要首先将实现名为新角度的新服务器的可靠性,以便更换失败的服务器。然后,新角落应该从多个存储服务器下载足够的数据,称为从幸存服务器中选择的提供程序来重新生成丢失的数据。因此,提供商,新角落和数据路由对修复过程中的再生时间产生很大影响。在本文中,我们共同考虑提供者和新角落选择(JPNS)问题,其两个目标最小化了再生时间,并在最小再生时间保证下最小化传输成本。具体而言,对于第一个目标,我们首先将JPNS问题模拟为数学编程,并将其作为整数线性编程(ILP)。我们还提出了一种启发式提供者和新的角落选择(HPN)算法。对于第二个目标,基于α提供者和由HPNS算法选择的新分类,我们给出了线性编程(LP),以最佳地获得路由路径并以最小传输成本从这些提供商流到新的聚合物。最后,我们进行广泛的仿真实验,结果表明了所提出的算法的有效性。

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