International Business Machines Corporation

Yan Pang

Jianwen Chen

Margarete Donovang-Kuhlisch

Ya Xiao Liu

Robert J Faferko

A method and system for aggregating services is provided. The method includes receiving and processing a service request. The service request is submitted to a service catalog and dispatched to a data integration and API module. The service request is transmitted to a management module and processed with respect to a plurality of service providers. Inter process communications associated with the service request are managed. Additionally, an account associated with the service request and the plurality of service providers is managed.

Application service aggregation and management

System component failure diagnosis is provided. In response to determining that a number of component failure cases corresponding to a complex system stored in a historical diagnosis database is less than a pre-defined threshold number of component failure cases, a system component failure root cause is predicted using a rule-based reasoning method. In response to determining that the number of component failure cases corresponding to the complex system is greater than or equal to the pre-defined threshold number of component failure cases, the system component failure root cause is predicted using the rule-based reasoning method and a machine learning method. The diagnosis accuracy of the system component failure root cause predicted by the rule-based reasoning method and the machine learning method is calculated using a cross-validation method. The performance of the rule-based reasoning method and the machine learning method is evaluated using a statistical process control method.

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Singapore, Singapore

Yan Pang