Mathematical Model to Predict IO Performance Based on Drive Workload Parameters

  • Taranisen Mohanta
  • Leena Muddi
  • Narendra Chirumamilla
  • Aravinda Babu Revuri
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 44)


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.


Drive performance model Linear polynomial method IO performance prediction Drive workload parameters 


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Copyright information

© Springer India 2016

Authors and Affiliations

  • Taranisen Mohanta
    • 1
  • Leena Muddi
    • 1
  • Narendra Chirumamilla
    • 1
  • Aravinda Babu Revuri
    • 1
  1. 1.HP India Software Operations Pvt. LtdBangaloreIndia

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