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With the social development and vehicle increasing, traffic congestion becomes a pressing problem. Carpooling is one solution for traffic congestion. This paper begins with a motivation case and proposes a service-based method to automatically identify vehicles which travel together (i.e., Traveling companion) and provide carpooling candidates for users in heavy urban traffic. This paper focuses on...
Though there are some existing data service mashup tools, it is still challenging for those developers with no or little programming skills to develop data service mashups to solve the situational and ad-hoc business problems. This paper focuses on the problem of interactively recommending useful assistance at every step during the development of data service mashups under the condition that the mashup...
Situational data integration is often ad hoc, involves active participation of business users, and requires just-in-time treatment. Agility and end-user programming are of importance. The paper presents a spreadsheet-like programming environment called Mashroom, which offers required agility and expressive power to support situational data integration by non-professional users. In Mashroom, various...
Cloud computing provides virtualized, dynamically-scalable computing power. At the same time, reduction of cost is also considered as an important advantage of cloud computing. Data integration can notably benefit from cloud computing because integrating data is usually an expensive task. However, existing optimization techniques pay less attention on the fact that different execution plans of the...
While end-users enjoy the data service mashup with high convenience and flexibility, how to achieve the best performance with minimum maintenance cost is a challenging problem. In this paper, the data maintenance problem is analyzed, and the maintenance cost model for the data service mashup is built. The model measures the response cost and update cost of a group of data service mashups in terms...
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