Affiliation: | a Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC 27695-8206, U.S.A. b Computer Science Department, North Carolina State University, Raleigh, NC 27695-8206, U.S.A. |
Abstract: | Adaptive hashing with signatures combines the adaptive hashing file structure together with superimposed signatures and several new algorithms to produce a new order-preserving data structure. This new technique has excellent direct retrieval performance, localized index organizations, and improved file index balance. In keeping with the principle advantage of the original adaptive hashing technique, algorithms to improve both primary and secondary memory storage utilization are also discussed. Furthermore, the new data structure has a high degree of flexibility, allowing it to be tailored for the optimum performance vs storage utilization ratio for a given application. |