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The large-scale dynamic cloud computing environment has raised great challenges for fault diagnosis in Web applications: First, fluctuating workloads cause traditional application models to change over time; second, modeling the behaviors of complex applications usually requires domain knowledge which is difficult to obtain; third, managing large-scale applications manually is impractical for operators...
The large-scale dynamic cloud computing environment has raised great challenges for fault diagnosis in Web applications. First, fluctuating workloads cause traditional application models to change over time. Moreover, modeling the behaviors of complex applications always requires domain knowledge which is difficult to obtain. Finally, managing large-scale applications manually is impractical for operators...
Virtualized resource renting is a key issue in IaaS (Infrastructure-as-a-Service) cloud systems. Suitable resource allocation improves resource utilization and increases profit for application providers. The application provider will obtain better revenues according to the Service Level Agreement (SLA), if they rent more virtual resources. However, they will invest much more capital for renting these...
Cloud computing has emerged as a new paradigm for the delivery of computing resources. It brings great opportunities to software testing, especially to load testing. In this paper, we focus on migrating conventional load testing tools to the cloud, for which the two significant issues are about multi-tenancy and load simulating resource management. We propose a four layer model for cloud-based load...
PaaS is one of the most popular paradigms of cloud computing and the performance guarantee of PaaS-oriented applications has been critically concerned. Performance models, such as a Layer Queue Network (LQN) model, are efficient at performance guaranteeing in a highly dynamic computing environment for their capabilities of capacity planning. However, it is not a trivial work to build and employ such...
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