Mathematical model to predict IO performance based on drive workload parameters

Abstract

Disk drive technologies have evolved rapidly over the last decade to address the needs of big data. Due to rapid growth in social media, data availability and data protection has become an essence. The availability or protection of the data ideally depends on the reliability of the disk drive. The disk drive speed and performance with minimum cost still plays a vital role as compared to other faster storage devices such as NVRAM, SSD and so forth in the current data storage industry. The disk drive performance model plays a critical role to size the application, to cater the performance based on the business needs. The proposed performance model of disk drives predict how well any application will perform on the selected disk drive based on performance indices such as response time, MBPS, IOPS etc., when the disk performs intended workload.