Fixing Firefox's memory leak

本文介绍了Firefox浏览器内存分配的设置方法。先打开新标签,在地址栏输入“about:config”并回车;右键选“New”再选“Integer”,输入“browser.cache.memory.capacity”;根据电脑内存情况在对话框设置分配值,如16MB输入16384;最后关闭对话框,重启Firefox,若无效可尝试重启系统。

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I noticed a few Firefox threads here have people complaining about how much memory Firefox takes up. This is a known memory leak, and the Mozilla guys haven't gotten around to fixing it for whatever reason. But there's no reason your Firefox should take up 70,000K in memory, so here's how to fix that memory leak and keep Firefox from bloating up.

1. Open a new tab. Type "about:config" without quotes into the address bar and hit enter/click Go.

2. Right-click anywhere, select New, then Integer. In the dialog prompt that appears, type:

browser.cache.memory.capacity

3. Click OK. Another dialog prompt will appear. This is where you decide how much memory to allocate to Firefox. This depends on how much RAM your computer has, but generally you don't want to allocate too little (under 8MB), but if you allocate too much, you might as well not do this. A good recommended setting is 16MB. If you want 16MB, enter this value into the dialog prompt:

16384

(Why 16384 instead of 16000? Because computers use base-12 counting. Thus 16 megabytes = 16384 bytes. Likewise, if you want to double that and allocate 32MB, you'd enter 32768.)

4. Click OK to close the dialog box, then close all instances of Firefox and restart. If your Firefox still uses the same amount of memory, give it a few minutes and it should slowly clear up. If that fails, try a system reboot.

Hope I did a service to some FReepers today.
### Linux Memory RAS Features and Issues #### Kernel Cache Optimization In traditional systems, before being processed by applications, data files are typically moved from disk storage into kernel caches located within RAM. However, advancements in technology such as persistent non-volatile memory (NVM) challenge conventional methods; when NVM serves both as primary storage and system memory, maintaining a separate kernel buffer becomes redundant since it introduces unnecessary computational overhead[^1]. #### Error Detection and Correction Mechanisms Linux incorporates various mechanisms aimed at enhancing reliability through error detection and correction capabilities specifically designed for DRAM modules. These include support for ECC (Error-Correcting Code), which allows identification and automatic fixing of single-bit errors while signaling multiple bit failures. ```bash dmesg | grep -i ecc ``` This command checks current logs for any reported ECC-related events or warnings on the running machine. #### Hardware Management Interface (HMI) The HMI interface provides detailed reporting about hardware conditions directly to userspace via `/dev/mem` device nodes without requiring direct access permissions. This feature facilitates monitoring tools development targeting specific aspects like temperature thresholds crossing alerts or power supply voltage drops affecting stability over time. #### Persistent Memory Support With emerging technologies like NVMe drives becoming more prevalent across servers, supporting these devices efficiently has been prioritized within recent versions of the operating system. Integrating them seamlessly ensures optimal performance gains alongside improved fault tolerance levels compared to legacy architectures relying solely upon volatile forms of working space allocation strategies. #### Challenges Faced Despite improvements made towards achieving higher standards regarding dependability metrics associated with mainframe-class platforms, certain challenges remain unresolved: - **Complexity**: Implementing comprehensive protection schemes often adds complexity not only during initial setup phases but throughout ongoing maintenance cycles too. - **Performance Overhead**: While safeguard measures contribute positively toward overall robustness characteristics exhibited under adverse circumstances, they sometimes impose additional processing demands impacting real-time responsiveness negatively depending upon workload patterns observed. --related questions-- 1. How does enabling ECC impact server performance? 2. What alternatives exist besides using kernel buffers for improving I/O speeds? 3. Can you explain how mode registers influence SDRAM operation further? 4. In what scenarios might switching algorithms based on threshold counts prove beneficial?
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