Query Processing in Distributed Data Sites - Kr. Senthil Murugan,S. Suresh Kumar
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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 w ... Visas aprašymas
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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.
Daugiau informacijos
| Autorius | Kr. Senthil Murugan, S. Suresh Kumar |
|---|---|
| Leidėjas | LAP LAMBERT Academic Publishing |
| Išleidimo metai | 2019 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9786139471836 |