SELF-TUNING VIRTUAL STORAGE MANAGEMENT FOR DEDICATED REAL-TIME COMPUTER SYSTEM

Patent №

US 5,367,637

Granted

1994-11-22

Filed 1992

Owner

INTERNATIONAL BUSINESS MACHINES CORPORATION A CORPORATION OF NEW YORK

AI components

2

kr · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

07860745

A self-tuning and efficient computer method is disclosed for the management of virtual storage applicable to dedicated real-time computer systems. This method interposes a layer between the application and the real-time computer system to form a two-layered structure to meet an application's request for virtual storage (i.e. buffer request). The method adds a real-time system's slower allocation (second layer) to guarantee the creation of all other buffers during one real-time period. The self-tuning first layer is checked first to satisfy a buffer request, while the untuned second layer is entered to create a buffer when the first layer fails; either the request size is not yet tuned, or the pre-allocated buffers have run out. These entrances to the second layer provide a monitoring mechanism from which a new pre-allocation definition, based on the system usage history, is derived to tune the first layer at the next initialization time. This method also monitors "storage leaks" in which buffer pre-allocations are repeatedly insufficient because some repetitive requests are unmatched by corresponding free requests.

Knowledge representationAI hardwareG06F 9/5016G06F 12/023Y10S 707/99953Y10S 707/99956

AI classification

Knowledge representation0.80
AI hardware0.74
Planning0.02
Natural language0.00
Machine learning0.00
Speech0.00
Vision0.00
Evolutionary computation0.00

Ownership

INTERNATIONAL BUSINESS MACHINES CORPORATION A CORPORATION OF NEW YORK

assignment · 60770835

Assignors

WEI, SHUANG N.

On an employer assignment, the assignors are typically the inventors.

From the same owner

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