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Optimal Query Anatomization uses the similarity and filtering approaches for storing, processing and managing huge amounts of data.To increase the metadata extraction accuracy an optimal distributed query processing based on canonicalization algorithm is proposed. It is then filtered using a cuckoo filter for obtaining the possible relevant queries. Then, the qualified sequence templates are stored in the template database. Now, the canonical strings of the user query are checked with the template database for sequence matching. Finally, query mapping is done for the matched sequence.
| Autorius: | K. Senthil, P. Chitra, |
| Leidėjas: | LAP LAMBERT Academic Publishing |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 132 |
| ISBN-10: | 6139461294 |
| ISBN-13: | 9786139461295 |
| Formatas: | 220 x 150 x 8 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Distributed Query Optimization and Indexing Schemas in Cloud Server: Using Canonicalization Approach“
