An autonomic monitoring framework of web service-enabled application software for the hybrid distributed HPC infrastructure

For the distributed high performance computing infrastructure, there is a service oriented trend with hybrid physical clusters and virtual clusters. Application software can be service-enabled on the basis of underlying hardware resources. To enable on-demand service for end users, monitoring of software services is important in the service oriented hybrid computing environment. In this paper, an autonomic monitoring framework for the web service-enabled application software is proposed. Software resources are web service-enabled on the basis of elastic hardware resources—physical machines or virtual machines. Both of the software services and underlying hardware resources are dynamically monitored. An autonomic monitoring algorithm with self-optimized updating period and self-adaptive event-driven update is also given for the dynamic information retrieving of software services and underlying hardware resources. Some experiments were conducted in a multi-cluster based hybrid distributed HPC infrastructure. The proposed approach can bring more accurate monitoring information with a better updating cost.