Research on Synchronization Model Based on Parallel Compression

Article Preview

Abstract:

In recent years, with the rapid development of mobile communication technology, intelligent mobile terminal tendency is increasingly popular. People are stepping into the era of mobile networks. Information systems created for enterprise or individual gradually rely on mobile networks and mobile devices. Because the mobile network is often interrupted, data synchronization working on the mobile network is very difficult. We put forward a model of the data synchronization in mobile network. JSON and data compression with parallel processing are introduced into the model. Thus, the model has high efficiency. It was applied to a company's Warehouse Management System and solved the problem of data synchronization preferably.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2691-2695

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] ZengWenying, ZhaoYuelong, SongWei. The Study of the Key Technology of Mobile Database[J]. Computer engineering and applications, 2009, 45(14): 25~29.

Google Scholar

[2] Zhang Chunling, LvZhenyu, LiuZunfeng. Data Synchronization Solution Based on Virtual Log Compression[J]. Computer Engineering. 2010(18).

Google Scholar

[3] Yao Lu, YangHaitao, WangZhenghua. Data-sync-capacity Adaptation Handling Based on SyncML Protocol[J]. Computer Engineering and Design. 2009 (05).

Google Scholar

[4] WuJiyi, PingLlingdi. Mainstream technology of Web 2. 0—AJAX Performance Analysis[J]. Computer Engineering and Design, 2008, 29(8).

Google Scholar

[5] Introducing JSON [EB/OL]. 2011. http: /www. JSON. org.

Google Scholar

[6] Garrett JJ. Ajax: A New Approach to Web Applications [EB/OL]. 2005. http: /www. adaptivepath. com/ideas/ajax-new-approach-web-applications.

Google Scholar

[7] Shameem A, Jason R. Multi-core programming[M]. LiBaofeng, translated. beijing: Electronic Industry Press, 2007: 139-175.

Google Scholar

[8] Lynn M Stauffer, Daniel S Hirschberg. Dictionary compression on the PRAM[J]. Parallel Processing Letters, 1997, 7(3): 297-308.

DOI: 10.1142/s0129626497000310

Google Scholar