Orleans: A Framework for Scalable Client+Cloud Computing
- Posted: Dec 02, 2010 at 3:07 PM
- 61,028 Views
- 10 Comments
Loading User Information from Channel 9
Something went wrong getting user information from Channel 9
Loading User Information from MSDN
Something went wrong getting user information from MSDN
Loading Visual Studio Achievements
Something went wrong getting the Visual Studio Achievements
Right click “Save as…”
Orleans is a Microsoft Research (MSR) project and managed (.NET) software framework for building client + cloud applications. As outlined in the recently released paper on the topic: Orleans defines an actor-like model of isolated grains that communicate through asynchronous messages and manage asynchronous computations with promises. The isolated state and constrained execution model of grains allows the Orleans runtime to persist, migrate, replicate, and reconcile grain state without programmer intervention. Orleans also provides lightweight, optimistic, distributed transactions that provide predictable consistency and failure handling for distributed operations across multiple grains.
Here, we meet the Orleans team—Sergey Bykov, Alan Geller, Gabriel Kliot, James Larus, Ravi Pandya, and Jorgen Thelin—as they introduce Orleans and provide insights into the rationale and design decisions behind the project and also spend a fair amount of time focusing on the basic unit of isolated computation in Orleans, the grain. Very interesting and promising research!
I highly recommend that you read the paper—it's very approachable and makes many aspects of Orleans crystal clear. In fact, that's the goal of the Orleans project: to make reliable and scalable distributed concurrent computing easier for developers to compose using tools and concepts they already understand (.NET). As we all know, it's hard to effectively program scalable distributed concurrent systems reliably. Orleans's goal is to change this fact by exploring and implementing new approaches (like grain-based programming) using novel combinations of time-tested programming models and technologies (actors, promises, transactions, etc).
Tune in. Enjoy.