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Mathematical Problems in Engineering
Volume 2015, Article ID 506272, 9 pages
http://dx.doi.org/10.1155/2015/506272
Research Article

Modeling and Querying Business Data with Artifact Lifecycle

1College of Information, Shanghai Ocean University, Shanghai 201306, China
2Information & Telecommunication Branch, Heilongjiang Electric Power Company Ltd., State Grid Corporation of China, Heilongjiang 150090, China

Received 28 August 2014; Accepted 11 September 2014

Academic Editor: L. W. Zhang

Copyright © 2015 Danfeng Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Business data has been one of the current and future research frontiers, with such big data characteristics as high-volume, high-velocity, high-privacy, and so forth. Most corporations view their business data as a valuable asset and make efforts on the development and optimal utilization on these data. Unfortunately, data management technology at present has been lagging behind the requirements of business big data era. Based on previous business process knowledge, a lifecycle of business data is modeled to achieve consistent description between the data and processes. On this basis, a business data partition method based on user interest is proposed which aims to get minimum number of interferential tuples. Then, to balance data privacy and data transmission cost, our strategy is to explore techniques to execute SQL queries over encrypted business data, split the computations of queries across the server and the client, and optimize the queries with syntax tree. Finally, an instance is provided to verify the usefulness and availability of the proposed method.