IDENTIFYING SKYLINES IN CLOUD DATABASES WITH INCOMPLETE DATA
Yonis Gulzar, Ali Amer Alwan Aljuboori, Norsaremah Salleh, Imad Fakhri Taha Alshaikhli · Journal of Information and Communication Technology · 2019
Skyline queries is a rich area of research in the database community.Due to its great benefits, it has been integrated into many database applications including but not limited to personalized recommendation, multi-objective, decision support and decision-making systems.Many variations of skyline technique have been proposed in the literature addressing the issue of handling skyline queries in incomplete database.Nevertheless, these solutions are designed to fit with centralized incomplete database (single access).However, in many realworld database systems, this might not be the case, particularly for a database with a large amount of incomplete data distributed over various remote locations such as cloud databases.It is inadequate to directly apply skyline solutions designed for the centralized incomplete database to work on cloud due to the prohibitive cost.Thus, this paper introduces a new approach called Incomplete-data Cloud Skylines (ICS) aiming at processing skyline queries in cloud databases with incomplete data.This approach emphasizes on reducing the amount of data transfer and