2013International Conference on Advanced Communication TechnologyRequires access

Design of a near-minimal dynamic perfect hash function on embedded device

Derek C.W. Pao, Xing Wang, Ziyan Lu

Open publisher page 7 citations

Abstract

There has been a general opinion that it is difficult to construct perfect hash tables with high load factor for large datasets having a million records. The problem is even more challenging if new records can be added to the hash table incrementally. In this article, we shall demonstrate the design of a dynamic perfect hash function on embedded device based on simple bit-shuffle and bit-extraction operations. The achievable load factor can be up to 100%, and the amortized memory cost of the hash function is about 7 to 15 bits per key for 32-bit keys. Incremental updates to the hash table are allowed. The perfect hash function for a dataset with 1 million keys can be constructed in a few seconds of CPU time.

About this research paper

What this paper is about

There has been a general opinion that it is difficult to construct perfect hash tables with high load factor for large datasets having a million records. The problem is even more challenging if new records can be added to the hash table incrementally. In this article, we shall demonstrate the design of a dynamic perfect hash function on embedded device based on simple bit-shuffle and bit-extraction operations. The achievable load factor can be up to 100%, and the amortized memory cost of the hash function is about 7 to 15 bits per key for 32-bit keys. Incremental updates to the hash table are allowed. The perfect hash function for a dataset with 1 million keys can be constructed in a few seconds of CPU time.

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OpenAlex reports 7 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

There has been a general opinion that it is difficult to construct perfect hash tables with high load factor for large datasets having a million records. The problem is even more challenging if new records can be added to the hash table incrementally. In this article, we shall demonstrate the design of a dynamic perfect hash function on embedded device based on simple bit-shuffle and bit-extraction operations. The achievable load factor can be up to 100%, and the amortized memory cost of the hash function is about 7 to 15 bits per key for 32-bit keys. Incremental updates to the hash table are allowed. The perfect hash function for a dataset with 1 million keys can be constructed in a few seconds of CPU time.

Key concepts: Hash function, Computer science, Hash table, Perfect hash function, Hash chain, Double hashing, SHA-2, Cryptographic hash function

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