Lee Jung Il, Choi YoonA, Park Ju Eun, Jang Minyoung

KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 4, pp. 135-142, Apr. 2023
https://doi.org/10.3745/KTCCS.2023.12.4.135,   PDF Download:
Keywords: Software Defined Storage, Cloud Platform, Optimization
Abstract

Recently, many companies are using public cloud services or building their own data center because digital transformation is expanding. The software-defined storage is a key solution for storing data on the cloud platform and its use is expanding worldwide. Software-defined storage has the advantage of being able to virtualize and use all storage resources as a single storage device and supporting flexible scale-out. On the other hand, since the size of an object is variable, an imbalance occurs in the use of the disk and may cause a failure. In this study, a method of redistributing objects by optimizing disk weights based on storage state information was proposed to solve the imbalance problem of disk use, and the experimental results were presented. As a result of the experiment, it was confirmed that the maximum utilization rate of the disk decreased by 10% from 89% to 79%. Failures can be prevented, and more data can be stored by optimizing the use of disk.

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