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Resource performance prediction has become more and more important in cloud environment as CPU load prediction is key for system maintenance and application schedule. This paper presents a multidimensional spatial voting prediction model to predict real-time CPU load accurately. We improved the real-time CPU load prediction accuracy by gray prediction model under the one-dimension prediction, we also...
Modern airlines use sophisticated pricing models to maximize their revenue, which results in highly volatile airfares. Without sufficient information, it is usually difficult for ordinary customers to estimate future price changes. Over the last few years, several studies have tried to solve the problem of optimal purchase timing for flight tickets, in which the prediction task is described as a binary...
Choice modeling (CM) aims to describe and predict choices according to attributes of subjects and options. If we presume each choice making as the formation of link between subjects and options, immediately CM can be bridged to link analysis and prediction (LAP) problem. However, such a mapping is often not trivial and straightforward. In LAP problems, the only available observations are links among...
In the past few decades, large-scale distributed computing systems such as grids have been widely used to serve a growing number of applications in a time-shared manner. In such environment, resources should be strictly assigned to achieve high performance. Hence, resource monitoring and usage prediction are required for the scheduling. Among these resources, CPU load has a significant effect on the...
A stable and optimal overall performance is always the target for any process engine. In this paper, we introduced a dynamic matrix control based service process engine. It is built on the Jini platform and employs Jini services to provide functions for a service process engine. The process engine will estimate each client request workload by a heuristic algorithm. According to the estimated workload...
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