NDLI: Ranking in uncertain distributed database environments

Content Provider	IEEE Xplore Digital Library
Author	AbdulAzeem, Y. ElDesouky, A. Ali, H.
Copyright Year	2012
Description	Author affiliation: Computers Engineering and Systems, Department, Faculty of Enginnering, Mansoura University, Egypt (AbdulAzeem, Y.; ElDesouky, A.; Ali, H.)
Abstract	Distributed data processing has been a major field in nowadays applications. In such application, data is collected from distributed nodes and processed to gain overall results. Large amount of data transfer and network delay made data processing in a centralized manner a hard operation representing an important problem. A very common way to solve this problem is ranking queries. Ranking or top-k queries concentrate only on the highest ranked tuples according to user's interest. Another issue in most nowadays applications is data uncertainty. Many techniques were introduced for modeling, managing, and processing uncertain databases. Although these techniques were efficient, they didn't deal with distributed data uncertainty. This paper deals with both data uncertainty and distribution based on ranking queries. A novel framework is proposed for ranking distributed uncertain data. The framework has a suite of novel algorithms for ranking data and monitoring updates. These algorithms help in reducing the communication rounds used and amount of data transmitted while achieving efficient and effective ranking. Experimental results show that the proposed framework has a great impact in reducing communication cost compared to other techniques.
Starting Page	275
Ending Page	280
File Size	664208
Page Count	6
File Format	PDF
ISBN	9781467329606
e-ISBN	9781467329613
DOI	10.1109/ICCES.2012.6408528
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-27
Publisher Place	Egypt
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Uncertainty Distributed databases Bismuth Probabilistic logic Silicon Monitoring
Content Type	Text
Resource Type	Article

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