Notice of RetractionApplication of Multi-Policy Data Stream Off-Line Analysis

Notice of Retraction

After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

Data stream is becoming an important data-intensive application. Off-line analysis process optionally querys massive logged data that data stream produce, single querying may process hundreds of GB data, timeliness and scalability present great challenge to traditional database. In this paper, characteristics of data stream off-line analysis is analyzed based on network monitoring management, and a maiden adoption of shared-nothing parallel database middleware is presented,and summarizing of local result is realized using DBMS and multi-policy,finally, the scalabilities of different kinds query by specific execution process is analyzed. From the test and analysis results, it is shown that query based on resource-oriented scheduling which uses diverse source can execute parallelly that improves resource utilization and avoids system overload. Meanwhile, the query strategy is given on the basis of query what improves execution efficiency and system expansibility.