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Lower Bounds on Bandwidth Requirements of Regenerating Code Parameter Scaling in Distributed Storage Systems
Journal article   Peer reviewed

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

Behrouz Zolfaghari, Vikrant Singh, Sushmitha Reddy, Brijesh Kumar Rai, Khodakhast Bibak and Ali Dehghantanha
IEEE communications letters, Vol.25(5), pp.1477-1481
01/05/2021
DOI: https://doi.org/10.1109/LCOMM.2021.3049188
Web of Science ID: WOS:000648333800018

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Abstract

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.

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