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In the recent years, high performance computing (HPC) resources has grown up rapidly and diversely. The next generation of HPC platforms is assembled from resources of various types such as multi-core CPUs and GPUs. Thus, the development of a parallel program to fully utilize heterogeneously distributed resources in HPC environment is a challenge. A parallel program should be portable and able to...
This paper is concerned with a method of computing the relative power contribution ratio (PCR) between process variables of a Selective Catalytic Reduction (SCR) system in a steam turbine (ST)-gas turbine (GT) combined cycle power plant. The PCR is used to select process variables in the statistical model of the system to be considered. Firstly, we show a method for computing the PCR using a RBF-ARX-based...
In this work, we derive the Thermal-WilliamsComstock model for the heat-assisted magnetic recording channels. The coercivity and remanent magnetization have linear relationship with the temperature. The transition width and transition centres can be obtained for various cases. Together with the microtrack model, the generation of transition response, dibit response as well as the readback of pseudorandom...
High performance computing systems can have high failure rates as they feature a large number of servers and components with intensive workload. The availability of the system can be easily compromised if the failure of these subsystems is not handled correctly. This research proposes a framework of proactive fault tolerance for enterprise cloud computing systems. The main idea is to create an effective...
This paper studies a cloud computing market where a cloud provider rents a set of computing resources from Windows Azure operated by Microsoft. The cloud provider can integrate value-added services to the resources. Then, the services can be sold to customers, and the cloud provider can earn a profit. Moreover, the cloud provider could save much cost and increase higher profit with the 6-month subscription...
In this paper, we present a cloud-based epidemic simulation framework which is designed for simulating the spread of epidemic diseases globally. We enhance the SEIR, a popular global equation model for infection diseases study. The original SEIR model takes long to generate results. Hence, we modify SEIR by adding the level of severity into each of the epidemic state. Therefore, the time period is...
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