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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...
Nowadays most metro advertising systems schedule advertising slots on digital advertising screens to achieve the maximum exposure to passengers by exploring passenger demand models. However, our empirical results show that these passenger demand models experience uncertainty at fine temporal granularity (e.g., per min). As a result, for fine-grained advertisements (shorter than one minute), a scheduling...
Traditional collaborative filtering approaches are often confronted with two major problems: data sparsity and cold-start. Fortunately, along with the rise of social media, social network is producing a large and rich set of social data (such as labels, trust, etc.), which provides a new way to solve the problems of collaborative filtering, namely, we can make use of social data to enhance the recommendation...
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...
Because web services and agent technology can help each other, to integrate them together is becoming a trend. Most of current research works focus on developing an integration framework to provide gateways that can connect the agent and web service worlds. In the paper, the service intermediary agent is proposed as a value-added professional service provider, which can manage a group of inherently...
Recommender system, which is powerful to deal with the issue of information overload, has been widely investigated by many researchers recently. However, one of the biggest challenges needs to face is the cold start problem. To address this problem, the data source from social network is incorporated into our recommender system in this paper. In a social network, users who tightly connected imply...
In order to master the remote control technology of the Loitering Attack Missile (LAM), and the application of the data link into the cruise missile, it is very important to develop a remote control simulation for the LAM. The structure of the simulation system was designed on the latform of the High Level Architecture (HLA). The key questions such as the basic control models, the simulation of Data...
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