Query Processing in Distributed Data Sites

Kr. Senthil Murugan

ISBN 10: 6139471834 / ISBN 13: 9786139471836

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The distributed queries in the centralized setting and addressed data operation over web databases, where different dimensions are stored in different data sites.Their algorithm first retrieves values in every dimension from remote data sites using sorted access in round-robin on all dimensions. This continues until all dimension values of an object, called the terminating object, have been retrieved. The wired large-scale distributed environment, is also different from this work in a MANET setting. Proposed a feedback-based distributed skyline (FDS) algorithm within a network setting similar as ours. However, FDS only deals with skyline queries without any constraints that are considered in our work. Also, FDS is focused on minimizing the network bandwidth use, and therefore, it uses a multiple-round feedback mechanism to prune the unqualified skyline candidates.

Seller Inventory # 9786139471836

Bibliographic Details

• Title: Query Processing in Distributed Data Sites
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6139471834
• ISBN 13: 9786139471836
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 107 grams

About this title

Synopsis

The distributed queries in the centralized setting and addressed data operation over web databases, where different dimensions are stored in different data sites.Their algorithm first retrieves values in every dimension from remote data sites using sorted access in round-robin on all dimensions. This continues until all dimension values of an object, called the terminating object, have been retrieved. The wired large-scale distributed environment, is also different from this work in a MANET setting. Proposed a feedback-based distributed skyline (FDS) algorithm within a network setting similar as ours. However, FDS only deals with skyline queries without any constraints that are considered in our work. Also, FDS is focused on minimizing the network bandwidth use, and therefore, it uses a multiple-round feedback mechanism to prune the unqualified skyline candidates.