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Lightweight Redundancy for Photos in Disk Array

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

Disk arrays store data across multiple disks and incorporate redundancy to protect against disk failures. With the widespread use of smartphones, users often accumulate large collections of photos. Although the JPG format (introduced in 1992) remains the most widely used image format, recent advancements in image coding have led to new formats like WEBP with better compression efficiency. In this paper, we leverage these advancements and propose a lightweight redundancy method to store photos in a disk array. This method transcodes photos into a new format with better compression efficiency and determines redundancy based on the transcoded photos, resulting in smaller redundancy. The proposed method allows users to have fine-grained control over the tradeoff between necessary redundancy and the quality of photos recovered from disk failures.
Original languageEnglish
Title of host publication2025 IEEE 14th Global Conference on Consumer Electronics (GCCE)
PublisherIEEE
Pages198-201
Number of pages4
ISBN (Electronic)9798331524166
ISBN (Print)9798331524173
DOIs
Publication statusPublished - Sept 2025
EventIEEE 14th Global Conference on Consumer Electronics, GCCE 2025 - Osaka, Japan
Duration: 23 Sept 202526 Sept 2025
https://ieeexplore.ieee.org/xpl/conhome/11274533/proceeding (Conference proceedings)

Publication series

NameIEEE Global Conference on Consumer Electronics (GCCE)
ISSN (Print)2378-8143
ISSN (Electronic)2693-0854

Conference

ConferenceIEEE 14th Global Conference on Consumer Electronics, GCCE 2025
Country/TerritoryJapan
CityOsaka
Period23/09/2526/09/25
Internet address

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production

User-Defined Keywords

  • Storage
  • disk array
  • photos
  • redundancy
  • image coding
  • erasure coding

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