A Model for Computing Skyline Data Items in Cloud Incomplete Databases

摘要: Abstract Skyline queries intend to retrieve the most superior data items in database that best fit with user’s given preference. However, processing skyline are expensive and uneasy when applying on large distributed databases such as cloud databases. Moreover, it would be further sophisticated process if these have missing values certain dimensions. The effect of incompleteness is extremely severe because result un-hold transitivity property technique leads problem cyclic dominance. This paper proposes an efficient model for computing incomplete focuses aiming at reducing domination tests between items, time, amount transfer among involved datacenters. Various set experiments conducted over two different types datasets demonstrates proposed solution outperforms previous approaches terms tests, transferred.