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Lower Bounds on Bandwidth Requirements of Regenerating Code Parameter Scaling in Distributed Storage Systems

机译:分布式存储系统中再生代码参数缩放的带宽要求的下限

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In a fault-tolerant Distributed Storage System (DSS) that depends on regenerating codes, there may be a variety of motivations for the system or the user to switch from one set of code parameters (n , k , d , alpha, beta) to another. For example, the user may change their demand on reliability or the system may want to change the configuration due to implementation challenges, cost considerations and issues related to availability/ accessibility of geographically-distributed nodes. This can be managed by a well-designed DSS capable of dynamically scaling the parameters. In this letter, we present lower bounds on the bandwidth requirements for moving from a regenerating code configuration to another. In case of functional repair, our lower bounds are achievable, which helps the system designers identify the minimum-cost scaling strategy.
机译:在取决于再生代码的容错分布式存储系统(DSS)中,系统或用户可能有各种动机从一组代码参数(n,k,d,alpha,beta)切换到 其他。 例如,用户可以改变他们对可靠性的需求,或者系统可能希望由于实现挑战,成本考虑和与地理分布节点的可用性/可访问性相关的问题而改变配置。 这可以由能够动态缩放参数的精心设计的DS管理。 在这封信中,我们在带宽要求上呈现下限,以便从再生代码配置转移到另一个。 在功能修复的情况下,我们的下限是可实现的,这有助于系统设计人员确定最低成本缩放策略。

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