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February 2, 2026ACM Transactions on Storage0 citationsOpen Access

The Design and Implementation of a Fine-Grained Shielded Data Reduction System

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JYJingyuan YangJWJun WuRWRuilin Wu

Key Points

  • This research aims to develop a secure system for efficient data reduction while maintaining data confidentiality.
  • Developed ShieldReduce, a secure outsourced storage system.
  • Applied deduplication, delta compression, and local compression techniques.
  • Utilized a trusted execution environment based on Intel SGX.
  • Implemented bi-directional delta compression for physical locality.
  • Offered a storage-prioritized offline compression mode.
  • ShieldReduce achieved significant speedups compared to baseline without bi-directional compression.
  • Maintained comparable storage savings to fine-grained data reduction for unencrypted data.
  • Ensured crash consistency during data reduction processes.

Abstract

Storage savings and data confidentiality are two primary yet conflicting goals in outsourced backup management. While deduplication-aware encryption has been extensively studied to make deduplication viable for encrypted data, it is incompatible with fine-grained delta and local compression for further storage savings. We present ShieldReduce, a secure outsourced storage system that aims for fine-grained shielded data reduction by applying deduplication, delta compression, and local compression to data in a trusted execution environment based on Intel SGX, so as to achieve high storage savings with security guarantees. To mitigate the I/Os of accessing base chunks for delta compression in SGX, ShieldReduce adopts bi-directional delta compression via a novel hybrid inline and offline compression design to maintain the physical locality of base chunks. It also offers a storage-prioritized offline compression mode for further storage savings and ensures crash consistency during data reduction. Evaluation on various backup workloads shows that ShieldReduce achieves significant speedups over a shielded baseline without bi-directional delta compression, while maintaining comparable storage savings to fine-grained data reduction for plain data.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/6980fbbec1c9540dea80d8c0https://doi.org/10.1145/3789211
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