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ReHypar improves Solid State Drive (SSD) space utilization in hybrid storage systems. This recursive hybrid chunk partitioning method reduces fragmentation and enhances performance, making SSDs more cost-effective.

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Area of Science:

  • Computer Science
  • Data Storage Technologies

Background:

  • Solid State Drives (SSDs) offer high performance but are expensive compared to Hard Disk Drives (HDDs).
  • Hybrid storage systems combining SSDs and HDDs are a cost-effective solution, but maximizing SSD space utilization is crucial for performance.

Purpose of the Study:

  • To develop a novel method, ReHypar (recursive hybrid chunk partitioning), for enhancing SSD space utilization in hybrid storage.
  • To mitigate fragmentation overhead and improve the cost-effectiveness of SSDs in hybrid storage architectures.

Main Methods:

  • Developed ReHypar, a recursive hybrid chunk partitioning algorithm.
  • Implemented ReHypar to reuse remaining free space within I/O units.
  • Enabled configuration of multiple logical data sections within the SSD address space, each with different I/O units.
  • Integrated ReHypar with ext2 and ext4 file systems.

Main Results:

  • ReHypar effectively mitigates fragmentation overhead in SSD address space.
  • The method demonstrates improved space utilization of SSDs within hybrid storage configurations.
  • Evaluations using IOzone and Postmark benchmarks validated the performance benefits.

Conclusions:

  • ReHypar offers a significant improvement in SSD space utilization for hybrid storage systems.
  • The developed partitioning strategy enhances the cost-effectiveness and performance of hybrid storage solutions.
  • ReHypar presents a viable approach for optimizing SSD usage in conjunction with HDDs.