By a News Reporter-Staff News Editor at Information Technology Newsweekly -- Investigators discuss new findings in Web and Grid Services. According to news reporting out of Changsha, People's Republic of China, by VerticalNews editors, research stated, "Skyline query processing over uncertain data streams has attracted considerable attention recently, due to its importance in helping users make intelligent decisions on complex data. Nevertheless, existing studies only focus on retrieving the skylines over data streams in a centralised environment typically with one processor, which limits the scalability and cannot meet the requirement for massive data analysis."
Our news journalists obtained a quote from the research from the National University of Defense Technology, "Cloud computing provides unprecedentedly opportunities for supporting massive data management, which can be well adapted to the parallel skyline queries. In this paper, we extensively study the parallel skyline query problem over uncertain data streams in cloud computing environments. Particularly, three parallel models SPM, APM, and DPM are proposed to address the problem based on the sliding window partitioning. Additionally, an adaptive sliding granularity adjustment strategy and a load balance strategy are proposed to further optimise the queries."
According to the news editors, the research concluded: "Extensive experiments are conducted to demonstrate the effectiveness and efficiency of the proposals."
For more information on this research see: Parallel skyline queries over uncertain data streams in cloud computing environments. International Journal of Web and Grid Services, 2014;10(1):24-53. International Journal of Web and Grid Services can be contacted at: Inderscience Enterprises Ltd, World Trade Center Bldg, 29 Route De Pre-Bois, Case Postale 856, Ch-1215 Geneva, Switzerland.
Our news journalists report that additional information may be obtained by contacting X.Y. Li, Natl Univ Def Technol, Sch Comp, Natl Key Lab Parallel & Distributed Proc, Changsha 410073, Hunan, People's Republic of China. Additional authors for this research include Y.J. Wang, X.L. Li and Y. Wang.
Keywords for this news article include: Asia, Changsha, Web and Grid Services, People's Republic of China
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