- Mastering Akka
- Christian Baxter
- 282字
- 2021-07-08 11:06:05
Understanding the actor model's origin
If you had never bumped into the actor model concept before using it within Akka, it would be easy to think that the Akka team created this programming paradigm themselves, but that's not at all true. In fact, the origins of the actor model idea itself can be traced back to a 1973 publication by Carl Hewitt, Peter Bishop, and Richard Steiger titled A Universal Modular Actor Formalism for Artificial Intelligence.
After that publication, things were a bit quiet on the actor model front until Erlang came onto the scene in 1986. The Erlang language was developed by a team within Ericsson, a Swedish telecom company, as the software backbone of their telecommunication network. The language was designed to be highly scalable, with distributed programming and concurrency as the enablers of that scalability. Erlang adopted the actor model as the foundation for both concurrent programming and distributed programming (via message passing) within the language.
The team at Ericsson furthered the ideas of the actor model, adding the concept of supervision to handle failures and perform restarting of components. This provided them with the fault tolerance that they needed to run their telecommunication networks.
In 2006, an initial actor model implementation by Phillip Haller was included as part of Scala 2.1.7. Later, in 2009, Jones Bonèr created the Akka framework as an Erlang-inspired Scala implementation of the actor model. As this implementation was deemed more mature and more feature rich than the one included in the main Scala distribution, it eventually supplanted that native implementation, starting in Scala 2.10. Now, when you think of actors and Scala, Akka is the defacto framework that comes to mind.
- Implementing Modern DevOps
- 潮流:UI設(shè)計必修課
- 自制編譯器
- 少年輕松趣編程:用Scratch創(chuàng)作自己的小游戲
- PostgreSQL技術(shù)內(nèi)幕:事務(wù)處理深度探索
- Java程序設(shè)計
- 計算機應(yīng)用基礎(chǔ)實踐教程
- 大學(xué)計算機基礎(chǔ)實驗指導(dǎo)
- 多媒體技術(shù)及應(yīng)用
- R語言數(shù)據(jù)挖掘:實用項目解析
- 數(shù)據(jù)分析與挖掘算法:Python實戰(zhàn)
- Elasticsearch Blueprints
- Learning Alfresco Web Scripts
- Getting Started with Windows Server Security
- MySQL核心技術(shù)與最佳實踐