Advertisement
Published in:
2010 | OriginalPaper | Chapter
Recovery Tasks: An Automated Approach to Failure Recovery
Authors : Brian Demsky, Jin Zhou, William Montaz
Published in: Runtime Verification
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
We present a new approach for developing robust software applications that breaks dependences on the failed parts of an application’s execution to allow the rest of the application to continue executing. When a failure occurs, the recovery algorithm uses information from a static analysis to characterize the intended behavior of the application had it not failed. It then uses this characterization to recover as much of the application’s execution as possible.
We have implemented this approach in the Bristlecone compiler. We have evaluated our implementation on a multiplayer game, a web portal, and a MapReduce framework. We found that in the presence of injected failures, the recovery task version provided substantially better service than the control versions. Moreover, the recovery task version of the game benchmark successfully recovered from a real fault that we accidentally introduced during development, while the same fault caused the two control versions to crash.