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Due to the dynamic nature of cloud computing, how to achieve satisfactory QoS (Quality of Service) in cloud workflow systems becomes a challenge. Meanwhile, since QoS requirements have many dimensions, a unified system design for different QoS management components is required to reduce the system complexity and software development cost. Therefore, this(More)
The proliferation of cloud computing allows scientists to deploy computation and data intensive applications without infrastructure investment, where large generated datasets can be flexibly stored with multiple cloud service providers. Due to the pay-as-you-go model, the total application cost largely depends on the usage of computation, storage and(More)
Nowadays, most business processes are running in a parallel, distributed and time-constrained manner. How to guarantee their on-time completion is a challenging issue. In the past few years, temporal checkpoint selection which selects a subset of workflow activities for verification of temporal consistency has been proved to be very successful in monitoring(More)
Though workflow technology is relatively mature and has been one of the most popular components of process aware systems over the last two decades, few workflow architectures can efficiently support a large number of concurrent workflow instances, i.e. instance-intensive workflows. The basic requirements include high throughput, elastic scalability, and(More)
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