• DocumentCode
    109997
  • Title

    Incremental updates based on graph theory for consumer electronic devices

  • Author

    Guiqiang Ni ; Zhilong Chen ; Jinsong Jiang ; Jianxin Luo ; Yao Ma

  • Author_Institution
    PLA Univ. of Sci. & Technol., Nanjing, China
  • Volume
    61
  • Issue
    1
  • fYear
    2015
  • fDate
    Feb-15
  • Firstpage
    128
  • Lastpage
    136
  • Abstract
    This paper presents a method for incremental updating on consumer electronic devices, called differential compression based on Dijkstra algorithm (DDIFF). It describes the similarities between the old and new versions as a directed weighted graph. In the graph, the shortest path between the start and end vertices corresponds to the minimal delta. As a result, the delta-encoding problem is reduced to the single-source shortest path problem. Experiments show that the proposed method is feasible, and average data transmission saving is as high as 69.3%. In comparison with the existing methods, DDIFF constructs the minimal patch, and the patch costs less time to apply1.
  • Keywords
    consumer electronics; data compression; graph theory; software maintenance; DDIFF; consumer electronic device; delta-encoding problem; differential compression based on Dijkstra algorithm; graph theory; incremental update; single-source shortest path problem; Arrays; Consumer electronics; Graph theory; Information systems; Nickel; Smart phones; Software; Dijkstra algorithm; differential compression; graph theory; incremental updates;
  • fLanguage
    English
  • Journal_Title
    Consumer Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0098-3063
  • Type

    jour

  • DOI
    10.1109/TCE.2015.7064120
  • Filename
    7064120