【转载】【REST】I finally get REST. Wow.

本文探讨了REST技术如何通过使通信协议的状态显式化并使用URI进行访问,从而改善系统的性能和伸缩性。重点讨论了REST与RPC的区别,以及其在动态负载均衡、数据定向路由、版本控制等方面的优势。

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Yeah, I'm alive. And I remember the password to my blog. I've been away for a bit, working on something very cool involving the TV. If all goes well, you'll hear about it in a big way. Anyway, I'm still having a ball out here in reality. Building something real has a way of focusing your decisions about technology. My app is a distributed system, some of which runs in a cable plant head-end or telco office (whatever's on the other end of the wire in your living room), and some of which runs elsewhere. We also connect to some things on the Web. These connections have to be extremely flexible and the bar to adoption has to be low. The thing I finally realized (some of you will say “Duh!”) is that Web services are not a good way to do this.

It's depressing to think that SOAP started just about 10 years ago and that now that everything is said and done, we built RPC again. I know SOAP is really an XML messaging protocol , you can do oneway async stuff, etc, etc, but let's face it. The tools make the technology and the tools (and the examples and the advice you get) point at RPC. And we know what the problems with RPC are. If you want to build something that is genuinely loosely-coupled, RPC is a pretty hard path to take.

That realization would have gotten me down if not for the fact that something else jazzed me up an hour or so later. I was in the process of considering the alternatives when I finally understood REST. And wow, it was eye-opening. REST is often positioned as CRUD operations against entities identified by URIs. Then it is dismissed as to simplistic to be useful. You can't build with just CRUD, the reasoning goes, just think about why we write sprocs. I've been down that path any number of times and always ended up in the same place. But I had it all wrong.

I skimmed Fielding's thesis a while back, but it wasn't until I read Sam Ruby's recent posts that it really sank in. Here's what I came to understand. Every communication protocol has a state machine. For some protocols they are very simple, for others they are more complex. When you implement a protocol via RPC, you build methods that modify the state of the communication. That state is maintained as a black box at the endpoint. Because the protocol state is hidden, it is easy to get things wrong. For instance, you might call Process before calling Init. People have been looking for ways to avoid these problems by annotating interface type information for a long time, but I'm not aware of any mainstream solutions. The fact that the state of the protocol is encapsulated behind method invocations that modify that state in non-obvious ways also makes versioning interesting.

The essence of REST is to make the states of the protocol explicit and addressible by URIs. The current state of the protocol state machine is represented by the URI you just operated on and the state representation you retrieved. You change state by operating on the URI of the state you're moving to, making that your new state . A state's representation includes the links (arcs in the graph) to the other states that you can move to from the current state . This is exactly how browser based apps work, and there is no reason that your app's protocol can't work that way too. (The ATOM Publishing protocol is the canonical example, though its easy to think that its about entities, not a state machine.)

The “state machine as node graph traversed via URI” view of the world has really interesting implications for being able to suspend and resume a protocol. Because links to other states are embedded in a state's representation there are interesting ways to solve dynamic load-balancing, data-directed-routing, versioning and other problems using normal Web infrastructure. And because it's HTTP based, you get all the features that protocol supplies, including streaming and support for non-XML MIME types (a huge concern when you're doing TV stuff). The one thing that's really missing here is a simple framework for implementing a URI graph on top of an HTTP handler (similar to what Marc's been working on for Java). I'm building my own now.

The thing I love about this model is that, as Sam says, it is of the Web, not over the Web. That doesn't mean I'll use it for everything. I use TDS to get to SQL Server. I use WCF for RPC-style communication between distributed components within major systems. I'll use this model when I cross major system boundaries, especially when I don't own both sides. I'll let you know how it turns out.

 

不管是soa还是rest,其实都是为了使系统既有良好的性能和伸缩性

内容概要:本文针对国内加密货币市场预测研究较少的现状,采用BP神经网络构建了CCi30指数预测模型。研究选取2018年3月1日至2019年3月26日共391天的数据作为样本,通过“试凑法”确定最优隐结点数目,建立三层BP神经网络模型对CCi30指数收盘价进行预测。论文详细介绍了数据预处理、模型构建、训练及评估过程,包括数据归一化、特征工程、模型架构设计(如输入层、隐藏层、输出层)、模型编译与训练、模型评估(如RMSE、MAE计算)以及结果可视化。研究表明,该模型在短期内能较准确地预测指数变化趋势。此外,文章还讨论了隐层节点数的优化方法及其对预测性能的影响,并提出了若干改进建议,如引入更多技术指标、优化模型架构、尝试其他时序模型等。 适合人群:对加密货币市场预测感兴趣的研究人员、投资者及具备一定编程基础的数据分析师。 使用场景及目标:①为加密货币市场投资者提供一种新的预测工具和方法;②帮助研究人员理解BP神经网络在时间序列预测中的应用;③为后续研究提供改进方向,如数据增强、模型优化、特征工程等。 其他说明:尽管该模型在短期内表现出良好的预测性能,但仍存在一定局限性,如样本量较小、未考虑外部因素影响等。因此,在实际应用中需谨慎对待模型预测结果,并结合其他分析工具共同决策。
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