Nginx and Memcached, a 400% boost!

If web architectures, performance, or scalability are topics you would like to keep on top of (who doesn't!), then chances are, you've heard of Nginx ("engine x"). Originally developed by Igor Sysoev for rambler.ru (second largest Russian web-site), it is a high-performance HTTP server / reverse proxy known for itsstabilityperformance, and ease of use. The great track record, a lot of great modules, and an active development community have rightfully earned it a steady uptick of users, and most recently, a notable mention in the Netcraft report.

Memcached module - an easy 4x speed multiplier

Memcached, the darling of every web-developer, is capable of turning almost any application into a speed-demon. Benchmarking one of my own Rails applications resulted in ~850 req/s on commodity, non-optimized hardware - more than enough in the case of this application. However, what if we took Mongrel out of the equation? Nginx, by default, comes prepackaged with the Memcached module, which allows us to bypass the Mongrel servers and talk to Memcached directly. Same hardware, and a quick test later: ~3,550 req/s, or almost a 400% improvement! Not bad for a five minute tweak!

Nginx+ Memcached

Think smart, forget cache invalidations

The only snag in our scheme for easy performance gains comes with the fact that more often than not, our application servers contain additional caching policies (read invalidations / authentication), and MIME type logic. The former, as recently documented by Tobias Lütke and Geoffrey Grosenbach, if properly thought through can be solved with some clever URL rewriting policies and automatic TTL timeouts. When implemented correctly, we could simply set the memcached key to be the full request URL, allowing us to completely bypass our app. servers.

MIME-type logic

MIME type magic can be as easy as complex as we wish. If you only serve one content type ('text/html', for example), the solution is simple:

> nginx-default.conf

location /dynamic_request {
   # Set default type to text/html
   default_type  text/html;
 
   # ...
}
 
Dynamic argument types, just for fun

However, if we want to serve multiple content-types, or perhaps even parameterize the request type in a query string, we've got some extra work to do. Not unlike any other HTTP server, Nginx checks the filetype extension at the end of every request path to determine the correct content-type header, a solution which unfortunately breaks down in majority of modern, URL friendly web-applications:

1. GET /dynamic_request.js - Content-Type = text/javascript
2. GET /dynamic_request - Content-Type = ?
3. GET /dynamic_request?format=js - Content-Type = ?

Case 1 is easily solved by Nginx directly. Case 2 is tricky, but can be solved via a 'default_type' line in the config as document above. And case 3 will require some additional logic - namely, we can hardcode a rule to rewrite our dynamic query string parameters to automagically add an extension to the path of each incoming request:

> nginx-rewrite.conf

location /dynamic_request {
	   # append an extenstion for proper MIME type detection
           if ($args ~* format=json) { rewrite ^/dynamic_request/?(.*)$ /dynamic_request.js$1 break; }
           if ($args ~* format=xml)  { rewrite ^/dynamic_request/?(.*)$ /dynamic_request.xml$1 break; }
 
           memcached_pass 127.0.0.1:11211;
           error_page 404 = @dynamic_request;
}
 

 

 

That should do the trick! Cache invalidations are handled, MIME types are served correctly, and our app. servers are bypassed in 95%+ of the cases. Instead, Nginx talks directly to Memcached and only proxies the cache misses - an easy 400% performance boost!

【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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