Adaptive Memory Preparation for Process Efficiency
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Solution Overview
Problem
Conventional memory sharing schemes in computer operating systems, such as Linux, lead to inefficient memory usage and waste in computing time and power due to the preparation of unused memory spaces by parent processes for child processes.
Innovation Solution
An adaptive memory preparation technique that analyzes memory usage data to determine whether to prepare a shared memory space for child processes, minimizing the creation of unused memory spaces by only preparing shared memory when a threshold number of child processes are running for a certain duration, allowing each child process to create its own non-shared memory space otherwise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the parent process prepares a shared memory space for child processes, then memory sharing efficiency is improved, but memory wastage increases when child processes are few or short-lived
Solution Approach 1:
The system dynamically determines whether to prepare shared memory space based on the number of child processes and their runtime. When the number of child processes exceeds a threshold or they run for a sufficient duration, shared memory is prepared. Otherwise, individual memory spaces are allocated. This dynamic adaptation resolves the contradiction between memory sharing efficiency and memory wastage.
Solution Approach 2:
The system changes the memory allocation parameter (shared vs. individual) based on operational conditions. By monitoring child process count and runtime parameters, the system switches between shared memory mode (when conditions favor sharing) and individual memory mode (when conditions suggest wastage), thereby optimizing the balance between sharing efficiency and resource utilization.
2Quantity of substance
If the parent process prepares a shared memory space for multiple child processes, then memory usage is reduced, but computing time and power are wasted when child processes are not started
Solution Approach 1:
The system performs preliminary analysis of child process requirements before preparing shared memory space. By evaluating whether child processes are about to be started and predicting their runtime, the system avoids premature memory preparation that would waste computing time and power, while still enabling memory sharing when appropriate.
Solution Approach 2:
The system uses feedback from monitoring child process startup patterns and runtime data to adjust memory preparation decisions. This feedback mechanism ensures that shared memory is only prepared when there is actual demand, preventing waste of computing time and power while maintaining efficient memory usage when child processes are active.
3Productivity
If the parent process prepares a shared memory space, then memory sharing is enabled, but power consumption increases due to unnecessary memory preparation
Solution Approach 1:
The system dynamically adjusts power consumption by conditionally preparing shared memory space only when child processes meet specific criteria (sufficient number and runtime). This dynamic approach maintains memory sharing capability when needed while minimizing power consumption by avoiding unnecessary memory preparation operations.
Data Source
AI summary
A technique, as well as select implementations thereof, pertaining to adaptive memory preparation is described. The technique may involve analyzing memory usage data of a plurality of child processes of a parent process. The technique may also involve determining whether a shared memory space is to be prepared by the parent process for use by at least a first child process based at least in part on the analyzing.