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Reducing Size and Deployment Time of Android Application Update using DELTA++

by Shweta Kale, Abhaya Bulbule
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 14
Year of Publication: 2015
Authors: Shweta Kale, Abhaya Bulbule
10.5120/20223-2503

Shweta Kale, Abhaya Bulbule . Reducing Size and Deployment Time of Android Application Update using DELTA++. International Journal of Computer Applications. 115, 14 ( April 2015), 30-33. DOI=10.5120/20223-2503

@article{ 10.5120/20223-2503,
author = { Shweta Kale, Abhaya Bulbule },
title = { Reducing Size and Deployment Time of Android Application Update using DELTA++ },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 14 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 30-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number14/20223-2503/ },
doi = { 10.5120/20223-2503 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:55:26.637971+05:30
%A Shweta Kale
%A Abhaya Bulbule
%T Reducing Size and Deployment Time of Android Application Update using DELTA++
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 14
%P 30-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we describe how to reduce size of android application as well as reduce the deployment time in installation of android application update using DELTA++. We are executing this by using the basic DELTA encoding algorithm . for this we need to pack and unpack the APKs that is the executable file of google smart application . To modify and update the patches DELTA++ modifying technique is used. Patches provided by google smart application are firstly constructed and then deployed. In this size reducing technique we are taking the application update in consideration hence we update the patches called files using deltas the advance feature of this is to decode the compressed patches into the delta again. Because of this we are able to reduce the deployment time And user need not to be decode the latest version every time. And can install faster.

References
  1. Nikolai Samteladze, "Delta Encoding Based Methods to Reduce the Sizeof Smartphone Application Updates",January 2013. URL: University of South Florida, nikolay. samteladze@gmail. comFollow this and additional works at: http://scholarcommons. usf. edu/etd.
  2. TorstenSuelNasirMemon,"Algorithms for Delta Compression and Remote Files Synchronization"CIS DepartmentPolytechnic UniversityBrooklyn, NY 11201.
  3. J. Wortham, "Customers Angered as iPhones Overload AT&T," 26 Sept. 2009; www. nytimes. com/2009/09/03/ technology/companies/03att. html.
  4. S. Musil, "Google Play Enables Smart App Updates, Conserving Batteries," CNET News, 16 Aug. 2012; http://news. cnet. com/8301-1023_3-57495096-93/google playenables- smart-app-updates-conserving- batteries/.
  5. C. Percival, "Naive Differences of Executable Code," draft, 2003; www. daemonology. net/bsdiff.
  6. N. Samteladze and K. Christensen, "DELTA: Delta Encoding for Less Trafic for Apps," Proc. IEEE Conf. Local Computer Networks, 2012, pp. 212–215.
  7. "State of the Media: Mobile Media Report Q3 2011," Nielsen, 15 Dec. 2011; www. nielsen. com/us/en/reports/2011/stateof-the-media--mobile-media-report-q3-2011. html.
  8. "Cisco Visual Networking Index: Global Mobile Data Trafic Forecast Update, 2012–2017," Cisco, 6 Feb. 2013;
  9. www. cisco. com/en/US/solutions/collateral/ns341/ns525/ns537/ns705/ns827/white_paper_c11-520862. html.
Index Terms

Computer Science
Information Sciences

Keywords

Differential algorithm and SHA-I algorithm.

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