LH*TH: New fast Scalable Distributed Data Structures (SDDS)
Aridj Mohamed

TL;DR
This paper introduces a new scalable distributed data structure called LH*TH, which leverages trie hashing to enhance access times in distributed data management systems, building upon the SDDS framework.
Contribution
It proposes a novel LH* bucket organization using trie hashing to improve access times in SDDS-based distributed data structures.
Findings
Improved access request times demonstrated
Enhanced scalability of distributed data structures
Effective organization of LH* buckets with trie hashing
Abstract
Proposed in 1993 the Scalable Distributed Data Structures (SDDSs) became a profile of basis for the data management on Multi computer. In this paper we propose an organization of a LH* bucket based on the trie hashing in order to improve times of different access request.
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Taxonomy
TopicsAlgorithms and Data Compression · Advanced Data Storage Technologies · Peer-to-Peer Network Technologies
