NDLI: Study of logical transaction based data synchronization scheme for pervasive computing

Content Provider	IEEE Xplore Digital Library
Author	Qiao Shi Dong Wen Xiaoyan Yang
Copyright Year	2012
Description	Author affiliation: Computer School, China West Normal University, Nanchong of Sichuan, 637002, China (Qiao Shi; Dong Wen) \|\| The College of Computer And Information Technology, China Three Gorges University, Yichang of HuBei, 443002 China (Xiaoyan Yang)
Abstract	At the center of the data management for pervasive computing is the personalization (i.e. sub-setting) and synchronization of the data for large amount of devices. In this paper we use parameterized database queries to do data sub-setting for our server centric system. We then introduce the concept of logical transaction for synchronization of the data subsets. Server side logical transactions are computed using the state changes of the data subsets. They are used to refresh client side data on devices. Client side logical transactions are tentative, modifiable before they are checked-in on server. In case of conflicts, client application can modify the logical transaction or let server force refresh the client data to resolve the conflicts. This ensures quick data convergence. The logical transaction based synchronization scheme contrasts with traditional physical transaction based replication schemes, which do not apply to subsets of data and cannot scale due to divergence. Test results of an implementation of this scheme show promise of real-world applications.
Starting Page	481
Ending Page	484
File Size	456541
Page Count	4
File Format	PDF
ISBN	9781467344975
ISSN	21544824
e-ISBN	9781889334479
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-24
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	TSI Press
Subject Keyword	Synchronization Servers Pervasive computing Databases Computational modeling Educational institutions Computers Replication Database Data synchronization
Content Type	Text
Resource Type	Article

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