Analysis of object-based storage implementation on storage data center

Susanto, Bekti Maryuni and Hariyanto, Agus (2018) Analysis of object-based storage implementation on storage data center. In: 1st International Conference on Food and Agriculture, 22 Oktober 2018, Bali, Indonesia.

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Abstract

The data center is the backbone of various services offered by internet giant companies like Google, Amazon, and others. Increasingly complex, varied, and the rapid growth of services offered, the data center will continue to grow and develop which makes data center management and planning more challenging. One of the most important parts of data centers that require good planning is network storage. This network storage determines how data is stored in the data center so that it can be accessed at any time by service users effectively. Network storage is a term used to refer to a network-based storage. Based on the results of a survey conducted in Australia, human error was the biggest cause of sudden data center malfunction with a percentage of 28%. The next biggest causes are electrical problems, hardware and software which each have a percentage of 25%, 21% and 11%. While natural disasters such as earthquakes only have a percentage of 8%. This study applies object based storage to data center storage. The storage object used is openstack object storage. Measurement of network performance using COSbench software. Measurement of network performance is carried out under normal conditions which include read, write and delete activities. The file size operated when measuring network performance is divided into four clusters, tiny, small, medium and large.

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