Year: 2025
Type: article
Abstract: Hashing is indispensable for efficient search operations, captivating the interest of numerous researchers. Among the diverse array of techniques, Cuckoo Hashing has emerged as particularly effective across a wide range of applications. It is implemented in two primary forms: Parallel Cuckoo Hashing and Sequential Cuckoo Hashing. Nonetheless, Cuckoo Hashing encounters significant challenges, including high insertion latency, inefficient memory usage, and high data migration costs. The concept of Combinatorial Hashing has inspired this research. Our proposed scheme enhances Combinatorial Hashing and introduces an innovative collision resolution technique called Left-Right Random Probing. This advanced variant of random probing strategically utilizes prime numbers and Fibonacci sequences to improve performance. This paper introduces two performance indicators, the degree of dexterity and table reference count per key. This paper identifies switching cost as a new challenge in Cuckoo Hashing and quantifies this switching cost using the parameter, table reference count per key.
Source: Computer Science
Institution: Madan Mohan Malaviya University of Technology
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411909665