Detecting cloud provisioning errors using an annotated process model
Proceedings of the 8th Workshop on Middleware for Next Generation Internet Computing
Challenges to error diagnosis in hadoop ecosystems
LISA'13 Proceedings of the 27th international conference on Large Installation System Administration
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Application dependability issues depend on increasingly sophisticated activities during operation time for deployment, upgrade, scaling out/in and reactions to various failures. Traditional approaches to improving application dependability focus on artifact-oriented troubleshooting and improvements. In this paper, we present an approach using process models to represent and analyze operations with considerations of exception handlings and fault-proneness. Our goal is to reduce diagnosis and repair time for application failures that occur during operation activities such as deployment and upgrade.