[eiəu]

noun.

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.

Pronunciation: [eiəu]

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.

Example sentences:

1. The program crashed due to AOQ, as it was requesting more memory than it was allocated.

这个程序由于AOQ而崩溃，因为它请求的内存超过了它被分配的数量。

2. The server was overloaded because of multiple AOQ requests from different programs.

服务器由于来自不同程序的多个AOQ请求而超负荷。

3. The team had to optimize their code to avoid AOQ errors and improve performance.

团队不得不优化他们的代码以避免AOQ错误，并提高性能。

4. The system administrator set limits on resource usage to prevent AOQ issues.

管理员设置了资源使用限制以防止AOQ问题。

5. The new update includes a feature that automatically handles AOQ requests for better resource management.

新的更新包括一个功能，可以自动处理AOQ请求以实现更好的资源管理。

Synonyms and Usage:

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.

Editor's Summary:

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.