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Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
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One of the common DNA damages is the chemical alteration of single bases by alkylation, oxidation, or deamination. The altered bases cause mispairing and strand breakage during replication. This type of damage causes minimal change to the DNA double helix structure and can be repaired by the base excision repair (BER) pathways. BER corrects damaged DNA sequences by removing the damaged base and restoring the original base sequence using the complementary strand as a template.
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Updated: Jul 23, 2025

Quasi-light Storage for Optical Data Packets
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SDNC-Repair: A Cooperative Data Repair Strategy Based on Erasure Code for Software-Defined Storage.

Ningjiang Chen1,2,3, Weitao Liu1, Wenjuan Pu1

  • 1School of Computer and Electronic Information, Guangxi University, Nanning 530004, China.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
Summary

Erasure-code storage systems face high repair costs due to slow performance. This study introduces SDNC-Repair, a cooperative strategy for Software Defined Storage (SDS) that significantly reduces data repair time and boosts throughput, especially under limited bandwidth conditions.

Keywords:
distributed storage systemerasure codereliabilitysoftware defined network

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Area of Science:

  • Computer Science
  • Data Storage Systems
  • Network Engineering

Background:

  • Erasure-coded storage systems often exhibit prolonged repair durations and suboptimal I/O performance, leading to escalated operational expenses.
  • Existing research primarily targets cost reduction in repairing these systems.

Purpose of the Study:

  • To address the limitations in node selection, data transfer, and data repair within erasure-coded storage systems.
  • To propose SDNC-Repair, a novel cooperative data repair strategy for Software Defined Storage (SDS).

Main Methods:

  • Developed SDNC-Repair, a framework leveraging network topology and node structure for cooperative data repair in SDS.
  • Introduced a data source selection algorithm considering inter-node network bandwidth.
  • Implemented a data flow scheduling algorithm within the SDNC-Repair framework.
  • Proposed a collaborative data repair method incorporating data aggregation.

Main Results:

  • Experimental validation demonstrates superior repair performance across various data granularities.
  • SDNC-Repair effectively enhances system throughput.
  • Significant reduction in data repair time was observed, particularly in scenarios with multiple node failures and constrained bandwidth.
  • While cross-rack bandwidth presents a constraint, the overall system efficiency is improved.

Conclusions:

  • SDNC-Repair offers a promising approach to mitigate the challenges of data repair in erasure-coded SDS.
  • The strategy effectively balances performance gains against bandwidth limitations, proving beneficial in demanding scenarios.