Would like to know is node.js with V8 engine suitable to be deployed on limited memory device (e.g. 256mb) and running in parallel with other process.
想知道具有V8引擎的node.js是否适合部署在有限的存储设备（例如256mb）上并与其他进程并行运行。
I read that it will hook up the resource of the machine. Is there way to limit the memory and processing usage of V8 engine itself?
我读到它将连接机器的资源。有没有办法限制V8引擎本身的内存和处理使用？
3 个解决方案
#1
14
256 MB is sufficient amount of RAM to run Node.js (e.g. on Linux VPS instance), assuming no other memory-hog software is run. Node has --max-stack-size argument for limiting the memory usage.
假设没有运行其他内存生成软件，256 MB足以运行Node.js（例如在Linux VPS实例上）。节点具有--max-stack-size参数，用于限制内存使用量。
Node's single-thread evented server model generally makes efficient use of resources, but V8 due its JIT architecture is likely to use somewhat more memory than interpreted/bytecompiled implementations, such as PHP or CPython (while offering superior performance). Also, to take advantage of multiple CPU cores, multiple Node.js processes must be run (versus memory-sharing threads), effectively multiplying the memory usage, but this limitation applies to its most popular competitors as well.
Node的单线程事件服务器模型通常可以有效地利用资源，但V8由于其JIT体系结构可能比使用解释/字节编译实现（例如PHP或CPython）使用更多的内存（同时提供卓越的性能）。此外，为了利用多个CPU核心，必须运行多个Node.js进程（与内存共享线程相比），有效地增加了内存使用量，但这种限制也适用于其最受欢迎的竞争对手。
In the respect of "running in parallel with other process" or "hooking up the resource of the machine", there is nothing special about running Node.js process (except the not uncommon multicore issue); it behaves similarly to any userland program. You can low-prioritize the Node.js process in OS level (e.g. with nice), but depending on your device/application, I/O can be potentially more an issue.
在“与其他进程并行运行”或“连接机器资源”方面，运行Node.js进程没有什么特别之处（除了不常见的多核问题）;它的行为类似于任何用户程序。您可以在操作系统级别低优先级Node.js进程（例如，使用nice），但根据您的设备/应用程序，I / O可能更成问题。
Purely from technical/effectiviness perspective, Erlang is probably more ideal choice for a high-level language when true multiprocessing support and high concurrency is required.
纯粹从技术/有效性的角度来看，当需要真正的多处理支持和高并发性时，Erlang可能是高级语言的理想选择。
#2
9
64MB of RAM is sufficient for V8 and Node.js
对于V8和Node.js，64MB的RAM就足够了
See "Compiling Node.js for Arduino YÚN" and also "installing Node.js on Arduino YÚN".
请参阅“为ArduinoYÚN编译Node.js”以及“在ArduinoYÚN上安装Node.js”。
Arduino YÚN runs linux with 64MB of RAM.
ArduinoYÚN使用64MB RAM运行linux。
#3
3
The BeagleBone has 256MB RAM (and in a normal configuration, no virtual memory), and it runs node.js quite nicely.
BeagleBone拥有256MB RAM（在正常配置中，没有虚拟内存），它运行node.js非常好。
#1
14
256 MB is sufficient amount of RAM to run Node.js (e.g. on Linux VPS instance), assuming no other memory-hog software is run. Node has --max-stack-size argument for limiting the memory usage.
假设没有运行其他内存生成软件，256 MB足以运行Node.js（例如在Linux VPS实例上）。节点具有--max-stack-size参数，用于限制内存使用量。
Node's single-thread evented server model generally makes efficient use of resources, but V8 due its JIT architecture is likely to use somewhat more memory than interpreted/bytecompiled implementations, such as PHP or CPython (while offering superior performance). Also, to take advantage of multiple CPU cores, multiple Node.js processes must be run (versus memory-sharing threads), effectively multiplying the memory usage, but this limitation applies to its most popular competitors as well.
Node的单线程事件服务器模型通常可以有效地利用资源，但V8由于其JIT体系结构可能比使用解释/字节编译实现（例如PHP或CPython）使用更多的内存（同时提供卓越的性能）。此外，为了利用多个CPU核心，必须运行多个Node.js进程（与内存共享线程相比），有效地增加了内存使用量，但这种限制也适用于其最受欢迎的竞争对手。
In the respect of "running in parallel with other process" or "hooking up the resource of the machine", there is nothing special about running Node.js process (except the not uncommon multicore issue); it behaves similarly to any userland program. You can low-prioritize the Node.js process in OS level (e.g. with nice), but depending on your device/application, I/O can be potentially more an issue.
在“与其他进程并行运行”或“连接机器资源”方面，运行Node.js进程没有什么特别之处（除了不常见的多核问题）;它的行为类似于任何用户程序。您可以在操作系统级别低优先级Node.js进程（例如，使用nice），但根据您的设备/应用程序，I / O可能更成问题。
Purely from technical/effectiviness perspective, Erlang is probably more ideal choice for a high-level language when true multiprocessing support and high concurrency is required.
纯粹从技术/有效性的角度来看，当需要真正的多处理支持和高并发性时，Erlang可能是高级语言的理想选择。
#2
9
64MB of RAM is sufficient for V8 and Node.js
对于V8和Node.js，64MB的RAM就足够了
See "Compiling Node.js for Arduino YÚN" and also "installing Node.js on Arduino YÚN".
请参阅“为ArduinoYÚN编译Node.js”以及“在ArduinoYÚN上安装Node.js”。
Arduino YÚN runs linux with 64MB of RAM.
ArduinoYÚN使用64MB RAM运行linux。
#3
3
The BeagleBone has 256MB RAM (and in a normal configuration, no virtual memory), and it runs node.js quite nicely.
BeagleBone拥有256MB RAM（在正常配置中，没有虚拟内存），它运行node.js非常好。