Index and Search for Hierarchical Key-Value Data Store (HierKV)

Page view(s)
32
Checked on Jan 16, 2025
Index and Search for Hierarchical Key-Value Data Store (HierKV)
Title:
Index and Search for Hierarchical Key-Value Data Store (HierKV)
Journal Title:
Journal of Computational Information Systems (JCIS)
Keywords:
Publication Date:
15 February 2015
Citation:
Abstract:
Existing key-value stores support web applications with high scalability and availability. However, the limited data access via primary keys has restricted data retrieval from key-value stores. In this paper, we have proposed a searchable key-value store with hierarchical data model, HierKV, to support fast data retrieval and search with secondary attributes. HierKV accelerates data retrieval by attributes via a hierarchical data model and index structure. A hierarchical TF-IDF ranking mechanism is proposed for HierKV to properly reflect keyword matches in different hierarchies. Experiments have shown that the proposed HierKV system can achieve good search performance.
License type:
PublisherCopyrights
Funding Info:
Description:
ISBN:

Files uploaded:

File Size Format Action
2792-published-paper.pdf 747.09 KB PDF Open