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
Link To Document :
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