- 授权协议: Apache
- 开发语言: Java
- 操作系统: 跨平台
- 软件首页: https://github.com/facebook/nifty
- 软件文档: https://github.com/facebook/nifty
软件介绍
Nifty是facebook公司开源的,基于netty的thrift服务端和客户端实现。
然后使用此包就可以快速发布出基于netty的高效的服务端和客户端代码。
示例:
public void startServer() {
// Create the handler
MyService.Iface serviceInterface = new MyServiceHandler();
// Create the processor
TProcessor processor = new MyService.Processor<>(serviceInterface);
// Build the server definition
ThriftServerDef serverDef = new ThriftServerDefBuilder().withProcessor(processor)
.build();
// Create the server transport
final NettyServerTransport server = new NettyServerTransport(serverDef,
new NettyConfigBuilder(),
new DefaultChannelGroup(),
new HashedWheelTimer());
// Create netty boss and executor thread pools
ExecutorService bossExecutor = Executors.newCachedThreadPool();
ExecutorService workerExecutor = Executors.newCachedThreadPool();
// Start the server
server.start(bossExecutor, workerExecutor);
// Arrange to stop the server at shutdown
Runtime.getRuntime().addShutdownHook(new Thread() {
@Override
public void run() {
try {
server.stop();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}
}
});
}
Or the same thing using guice:
public void startGuiceServer() {
final NiftyBootstrap bootstrap = Guice.createInjector(
Stage.PRODUCTION,
new NiftyModule() {
@Override
protected void configureNifty() {
// Create the handler
MyService.Iface serviceInterface = new MyServiceHandler();
// Create the processor
TProcessor processor = new MyService.Processor<>(serviceInterface);
// Build the server definition
ThriftServerDef serverDef = new ThriftServerDefBuilder().withProcessor(processor)
.build();
// Bind the definition
bind().toInstance(serverDef);
}
}).getInstance(NiftyBootstrap.class);
// Start the server
bootstrap.start();
// Arrange to stop the server at shutdown
Runtime.getRuntime().addShutdownHook(new Thread() {
@Override
public void run() {
bootstrap.stop();
}
});
}
遗传算法与工程优化
程润伟 / 清华大学出版社 / 2004-1 / 39.00元
《遗传算法与工程优化》总结了遗传算法在工业工程相关领域应用的前沿进展。全书共分9章:遗传算法基础、组合优化问题、多目标优化问题、模糊优化问题、可靠性设计问题、调度问题、高级运输问题、网络设计与路径问题和制造元设计问题。内容既涵盖了遗传算法在传统优化问题中的新进展,又涉及了目前在供应链和物流研究中相当热门的话题。一起来看看 《遗传算法与工程优化》 这本书的介绍吧!
