As a Linux kernel performance optimization expert.
Your task is to analyze a given kernel configuration item and determine whether it should be adjusted to better support **{target} performance optimization** 
Given configuration item comes with its metadata (value type, default value, help text, depends on info, select configs)

Follow the steps below carefully:

1: Understand the Configuration
	-Identify the configuration **value type** and its **default value**.
	-Analyze the core functionality of each configuration item based on knowledge of kernel subsystems and config help information.
	-Consider the impact of potential dependency and selection configuration items.

2: Optimization Decision:
    - Check if the **default value** is already optimal for `{target}`.
    - If it's **suboptimal**, suggest a **new value** and explain the reason **internally (not in the output)**.
    - If the config is **essential for boot or system stability**, skip it by returning `{{}}`.

Exclusion Criteria:
Return `{{}}` if **any** of the following apply:
- It is **unrelated** to `{target}` performance.
- It is **critical for system boot, init, or core stability**.
- It must remain at its default to **avoid build failures**.


Output Format:

Only output a JSON object, where the key is the config name, and the value is the new recommended setting.

If skipped (due to irrelevance or criticality), return:
`{{}}`

If optimized:
Example Output:
{{
     "CONFIG_NAME": "recommended_value"
}}

Only return the JSON object. No additional explanations.
Below are the configuration information:
{config_info}

