Multivariate quality control chart for monitoring SLA of workflow applications

W Tan, Y Sun, L Li, A Tang - Proceedings of the 2014 IEEE 18th …, 2014 - ieeexplore.ieee.org
W Tan, Y Sun, L Li, A Tang
Proceedings of the 2014 IEEE 18th International Conference on …, 2014ieeexplore.ieee.org
Cloud computing and service computing can be integrated into a distributed computing
platform which provides a set of services to their users. Different services could cooperate
with each other to accomplish more intricate tasks. However, third-party cloud services may
cause failures or quality violation of workflow applications. Especially in some critical
business scenarios, service performance violations need to be proactively prevented. It is
important to identify the violation of service quality for service management. In this work, we …
Cloud computing and service computing can be integrated into a distributed computing platform which provides a set of services to their users. Different services could cooperate with each other to accomplish more intricate tasks. However, third-party cloud services may cause failures or quality violation of workflow applications. Especially in some critical business scenarios, service performance violations need to be proactively prevented. It is important to identify the violation of service quality for service management. In this work, we propose a new SLA (Service Level Agreement) monitoring model to manage quality of workflow. Multivariate control chart is employed to detect the violations. Violation identifying approach based multivariate control chart can be used to avoid failures of workflow applications in an effective way.
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