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In an IoT environment, process analysis becomes more difficult as a process usually spans over a set of autonomous and distributed sensors. This paper consummates our previous service hyperlink model, to encapsulate dependencies among events generated from services. To effectively discover service hyperlinks, we transform the service hyperlink discovery problem into a frequent sequence mining problem...
With the increasing abundance of traffic data from sensors and devices, the integration and analysis of such streaming data are gaining importance in many application scenarios. This paper proposes a service-based approach for integrating and analyzing the traffic sensor data to support green commute in China by automatically discovering carpooling companions within a community. Our focuses are on...
Aiming to solve the nearby vehicle query problem in huge traffic data in the intelligent transportation field, we propose a nearby vehicle search algorithm based on HBase spatial index. Our algorithm builds an HBase spatial index model. It first takes column-oriented data as storage medium of huge traffic data. To build spatial index, it maps two dimensional traffic data of spatial location information...
Service-oriented situational data integration provides end-users an opportunity to integrate Internet-based data sources by composing data services, thereby satisfying users' immediate and personalized demands. Correlated query of multiple sources is a common way of data integration. Because it is difficult for users to select and compose services manually, an approach is proposed in this paper to...
Data processing in Cloud or IoT (Internet of Things) sometimes implies continuous real-time queries as data streams. In order to acquire extreme value of data stream over time-based sliding window, traditional approaches computed the exact solution through vast space especially under worse circumstances. In this paper, we design space-bounded synopsis data structure and random algorithm for extreme...
Data process in Cloud or IoT (Internet of Things) sometimes implies continuous real-time queries as data streams. In order to acquire extreme value of data stream over time-based sliding window, traditional approaches computed the exact solution through vast space especially under ultra circumstances like high-rate or high-concurrency. In this paper, we design space-bounded synopsis data structure...
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