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A globally shared resource paradigm for encoded storage systems in the public cloud.

Zhiyue Li1,2, Guangyan Zhang1,2

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This study introduces a globally shared resource paradigm for encoded storage systems in public clouds. This approach balances loads and ensures fault tolerance for diverse applications, improving HDD rebuild speeds and reducing SSD latency.

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Area of Science:

  • Cloud Computing
  • Data Storage Systems
  • Fault-Tolerant Systems

Background:

  • Public clouds utilize shared storage resources for efficiency.
  • Encoded data provides fault tolerance and cost-effective storage.
  • Optimizing shared encoded storage for diverse I/O needs is challenging.

Purpose of the Study:

  • To propose a novel paradigm for organizing encoded storage systems in public clouds.
  • To enhance application performance by addressing varied stripe configurations and fault tolerance levels.
  • To improve the efficiency of shared I/O operations in cloud storage.

Main Methods:

  • Analysis of Alibaba cloud block traces to understand application I/O patterns.
  • Development of a globally shared resource paradigm for encoded storage.
  • Case studies involving HDD and SSD RAID arrays to validate the proposed paradigm.

Main Results:

  • Application I/O patterns indicate a preference for resource sharing.
  • The proposed paradigm achieves balanced load and fault tolerance across various configurations.
  • HDD RAID rebuild speeds improved by 2.5x, and SSD RAID P99 tail latency reduced by up to two orders of magnitude.

Conclusions:

  • The globally shared resource paradigm effectively manages diverse application requirements in public cloud encoded storage.
  • This approach offers significant performance improvements for both HDD and SSD RAID arrays.
  • The findings provide a practical solution for optimizing shared storage systems in cloud environments.