更新時(shí)間:2024-03-23 21:35作者:小編
?[ei?u]
Definition:
1. AOQ is an abbreviation for "Asking Out of Quota", which refers to a process in which a computer program or system requests more resources than it has been allocated.
Usage:
AOQ is commonly used in the field of computer programming and software development, where it is important to keep track of resource allocation and usage.
1. The program crashed due to AOQ, as it was requesting more memory than it was allocated.
這個(gè)程序由于AOQ而崩潰,因?yàn)樗?qǐng)求的內(nèi)存超過了它被分配的數(shù)量。
2. The server was overloaded because of multiple AOQ requests from different programs.
服務(wù)器由于來自不同程序的多個(gè)AOQ請(qǐng)求而超負(fù)荷。
3. The team had to optimize their code to avoid AOQ errors and improve performance.
團(tuán)隊(duì)不得不優(yōu)化他們的代碼以避免AOQ錯(cuò)誤,并提高性能。
4. The system administrator set limits on resource usage to prevent AOQ issues.
5. The new update includes a feature that automatically handles AOQ requests for better resource management.
新的更新包括一個(gè)功能,可以自動(dòng)處理AOQ請(qǐng)求以實(shí)現(xiàn)更好的資源管理。
1. Resource Overallocation - This term is often used interchangeably with AOQ, as it also refers to the act of requesting more resources than are available or allocated.
2. Out-of-Memory Error - This is a specific type of error that occurs when a program runs out of memory due to excessive resource usage, often caused by AOQ.
3. Memory Leak - This term refers to a situation where a program continues to use more and more memory without releasing it, which can lead to AOQ issues.
4. Resource Management - This is the process of allocating, monitoring, and optimizing resources in a system or program, with the goal of avoiding AOQ errors and improving performance.
5. Quota Limit - This refers to the maximum amount of resources that are allocated for a specific task or program, which can be exceeded due to AOQ requests.
AOQ is an important concept in computer programming and software development, as it relates to resource management and allocation. It is crucial for developers and system administrators to understand AOQ and its potential impact on performance. By setting limits on resource usage and optimizing code, AOQ errors can be avoided and overall system efficiency can be improved.