Microserice actors

https://azure.microsoft.com/en-us/blog/containers-docker-windows-and-trends/

https://channel9.msdn.com/Series/Exploring-Microservices-in-Docker-and-Microsoft-Azure/02

http://research.microsoft.com/en-us/projects/orleans/

https://azure.microsoft.com/en-us/documentation/articles/service-fabric-reliable-actors-introduction/

http://aka.ms/OrleansVirtualActors

http://research.microsoft.com/apps/pubs?id=210931

http://research.microsoft.com/apps/pubs/default.aspx?id=153347

http://research.microsoft.com/pubs/141999/pldi%2011%20submission%20public.pdf

http://research.microsoft.com/pubs/210931/Orleans-MSR-TR-2014-41.pdf

时间: 2024-11-07 08:02:31

Microserice actors的相关文章

1:虚幻引擎网络架构:Actors

终于有时间了,打算在这个周末认认真真的研究虚幻引擎网络架构,同时我在Safaribooksonline上面发现了一本能让我的生活变得轻松的书Multiplayer Game Programming by Rough Cuts,这个周末好好享用哟.  好了,承接上一次的内容:为什么虚幻引擎的网络架构这么的高效? 1.从他的架构模式继续广义的客户端-服务器模型(Generalized Client-Server model): 在这个模型中服务器还是控制着游戏状态的变化,客户端运行着和服务器一样的代

[Activator-HelloAkka] Define our Actors

The Actor is the unit of execution in Akka. Actors are object-oriented in the sense that they encapsulate state and behavior, but they have much stronger isolation than regular objects in Java or Scala. The Actor model prevents sharing state between

"Principles of Reactive Programming" 之<Actors are Distributed> (1)

week7中的前两节课的标题是”Actors are Distributed",讲了很多Akka Cluster的内容,同时也很难理解. Roland Kuhn并没有讲太多Akka Cluster自身如何工作的细节,而是更关注于如何利用Akka Cluster来把Actor分布到不同的节点上,或许这么安排是因为Akka Cluster能讲的东西太多,而Coursera的课时不够.但是,从听众的角度来说,这节课只是初步明白了下Akka Cluster能干啥,但是想要自己用起来,特别是想了解其工作的

【Flink】flink 内部 Akka and Actors

使用Akka,所有远程过程调用现在都实现为异步消息. 这主要影响JobManager,TaskManager和JobClient的组件. 将来,甚至可能会将更多的组件转换为参与者,从而允许它们发送和处理异步消息. Akka and the Actor Model Akka是开发并发,容错和可扩展应用程序的框架. 它是参与者模型的实现,因此类似于Erlang的并发模型. 在参与者模型的上下文中,所有代理实体都被视为独立的参与者. 角色通过彼此发送异步消息与其他角色进行通信. 参与者模型的优势在于这

"Principles of Reactive Programming" 之<Actors are Distributed> (3)

Cluster 讲课的这哥们接下来讲了下Akka Cluster的使用,但是是通过把一个以前讲过的actor 系统改成使用cluster来介绍的Akka cluster. 这部分代码很多,还是直接看视频吧.或者,看这篇文章, Akka Clustering, Step by Step 更直白一些,不用事先了解课程中那个比较复杂的例子. 还是从正常的顺序了解下Akka Cluster吧. Akka Clustering用来解决什么问题? Akka Cluster provides a fault-

【CV论文阅读】Detecting events and key actors in multi-person videos

论文主要介绍一种多人协作的视频事件识别的方法,使用attention模型+RNN网络,最近粗浅地学习了RNN网络,它比较适合用于处理序列的存在上下文作用的数据. NCAA Basketball数据集 这个数据集是作者新构建的,一个事件4秒长度,在论文中共需识别11个事件.而且从训练集子集通过标注人物的bounding box学习了一个multibox detector,来识别所有帧中的人物bounding box. RNN模型 论文使用了RNN模型中的LSTM来处理帧序列.网络的结构如下图,其中

App forensics

A friend of mine claimed that someone stole her personal data via hacking certain App. She installed that App several months ago and registered an account. The user information including name,phone number,birth date,address and e-mail address etc. Re

714 - Copying Books——[贪心、二分查找]

Before the invention of book-printing, it was very hard to make a copy of a book. All the contents had to be re-written by hand by so called scribers. The scriber had been given a book and after several months he finished its copy. One of the most fa

2016.3.30(Java数据库编程)

public class JDBCDemo { public static void main(String[] args) { //JDBC 六步法 try { /**第一步:加载驱动*/ String driverUrl = "com.mysql.jdbc.Driver"; Class.forName(driverUrl); System.out.println("加载成功!!!"); /**第二步:建立连接*/ String url = "jdbc: