Current-Aware Flash Scheduling for Current Capping in Solid State Disks

Li-Pin Chang*, Chia Hsiang Cheng, Shu Ting Chang, Po Han Chou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Solid state disks (SSDs) employ internal parallelism to boost their I/O performance, but a high degree of flash parallelism inevitably consumes a high level of current. To budget power or support multiple power sources, system software may force an SSD into a new power mode that has a specific current supply limit. This study introduces a firmware approach to optimize SSD internal parallelism subject to a current supply limit. The proposed method involves two steps: First, we constructed current models of flash operations on the basis of real-world measurement results. Second, we designed a firmware scheduler to determine the actual starting time of each flash operation. The proposed scheduler accounted for flash aging, process variation, and internal resource contention, and it avoided any current cap violation by checking a few time points instead of every unit of time. Our experimental results indicated that the proposed approach outperformed existing methods with respect to I/O response time and throughput under realistic workloads.


  • Aging
  • Current measurement
  • Current supplies
  • Flash Memory Management
  • Parallel processing
  • Power Management
  • Solid State Disks.
  • Throughput
  • Time factors


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