InfoQ对 Joshua Bloch 访问

本文介绍了谷歌如何在其核心产品和服务中广泛使用Java。从中间层到客户端应用如Gmail和Google日历,再到广告前端服务器等关键组件,Java扮演着重要角色。文章还深入探讨了谷歌如何通过自定义实现及Java层与底层C++基础设施交互,使开发者能够利用强大的Google文件系统、MapReduce和BigTable等技术。
What is Google doing with Java?
Google uses Java in many places. We use it a lot in the middle tier obviously on the client, we use Ajax, we use Javascript and typically a lot of the applications that we use everyday like GMail, Google calendar, talk directly to Java and then the data is often stored on a back-end that's written in C++; we also use Java for our ads frontend server which is a very important part of our infrastructure, as you know ads are an important part of the engine that makes Google go. We use them a lot for internal applications. To make all this work we have a fairly large piece of Java infrastructure and that's my job at Google, I maintain that infrastructure.
Can you tell us more about this awesome Java infrastructure at Google?
There's a lot of classical google infrastructure. If you were at the Trundheim open house at Oslo last night, but the director discussed three of the main pieces of infrastructure google has: google file system, map reduce and big table and all these things were written in C++. But my team has made them accessible from Java in some cases, by re-implementing parts of them and in some cases by writing Java layers that talk to them through native methods and all that has proven quite successful. So now one can write all this core Google infrastructure in Java and additionally we have a lot of JDK-like stuff of our own invention and some of it we intend to submit for possible inclusion in the JDK. We have already done a little bit of it. Earlier I was referring to a this ArrayDeck class and that came out of some code that I wrote at google. There's a guy Kevin Burley who has written a lot of good stuff that I hope to see in Java 7. For example he wrote a facility called TimeLimiter which is a really cool thing. You take an interface and an implementation of that interface and it returns another implementation that delegates to the written original implementation and it time limits the calls and if they time out an unchecked time-out exception is thrown in the calling thread, so it allows you without the hassle of managing your own executor and your own futures and it works out really nice.

Ref:
http://www.infoq.com/interviews/joshua-bloch
【无人机】基于改进粒子群算法的无人机路径规划研究[和遗传算法、粒子群算法进行比较](Matlab代码实现)内容概要:本文围绕基于改进粒子群算法的无人机路径规划展开研究,重点探讨了在复杂环境中利用改进粒子群算法(PSO)实现无人机三维路径规划的方法,并将其与遗传算法(GA)、标准粒子群算法等传统优化算法进行对比分析。研究内容涵盖路径规划的多目标优化、避障策略、航路点约束以及算法收敛性和寻优能力的评估,所有实验均通过Matlab代码实现,提供了完整的仿真验证流程。文章还提到了多种智能优化算法在无人机路径规划中的应用比较,突出了改进PSO在收敛速度和全局寻优方面的优势。; 适合人群:具备一定Matlab编程基础和优化算法知识的研究生、科研人员及从事无人机路径规划、智能优化算法研究的相关技术人员。; 使用场景及目标:①用于无人机在复杂地形或动态环境下的三维路径规划仿真研究;②比较不同智能优化算法(如PSO、GA、蚁群算法、RRT等)在路径规划中的性能差异;③为多目标优化问题提供算法选型和改进思路。; 阅读建议:建议读者结合文中提供的Matlab代码进行实践操作,重点关注算法的参数设置、适应度函数设计及路径约束处理方式,同时可参考文中提到的多种算法对比思路,拓展到其他智能优化算法的研究与改进中。
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