Pipeline Based Distributed and Anonymised Skyline Query Processing
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2014, Vol 3, Issue 11
Abstract
In recent ages handling of large amount of data as well as passing queries to such data is going to become challenging. More advanced query operators are essential to actionable knowledge discovery. Here actionable knowledge means the information which is used to take any decision for implementation. Skyline query processing in highly effervescent and strewn milieu requires no conformist methods or algorithms due to lack of inclusive acquaintance. This paper presents a novel approach called “Pipeline Based Distributed and Anonymised Skyline Query Processing”. Due to this strategy query processing is pipelined to speed up the process as well as version wise query results to differentiate results from time to time due to dynamic insertions or deletions in Skyline dataset. An algorithm is proposed to simulate the proposed approach.
Authors and Affiliations
Y. Sai Sindhu, G. Suryakala Eswari, N. Leelavathy
Keywords
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