Improving lookup and query execution performance in distributed Big Data systems using Cuckoo Filter

Improving lookup and query execution performance in distributed Big Data systems using Cuckoo Filter

Abstract Performance is a critical concern when reading and writing data from billions of records stored in a Big Data warehouse. We introduce two scopes for query performance improvement. One is to improve the performance of lookup queries after data deletion in Big Data systems that use Eventual C...

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Bibliographic Details
Main Authors: Sharafat Ibn Mollah Mosharraf, Muhammad Abdullah Adnan
Format: Article
Language:English
Published: SpringerOpen 2022-01-01
Series:Journal of Big Data
Subjects:
Big Data
Distributed systems
Query optimization
Probabilistic data structure
Bloom filter
Cuckoo Filter
Online Access:https://doi.org/10.1186/s40537-022-00563-w

Internet

https://doi.org/10.1186/s40537-022-00563-w

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