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Abstract-In recent years, use of different sensors connected to vehicles is dramatically increasing in order to enhance transportation efficiency. The current Big Data technologies are predominantly used to store large amount of telematics data especially in the cloud, and they are only able to perform simple querying for the purpose of reporting. While all the data is stored in the cloud-centric datacenters, these telematics systems are not capable of exploiting other functionalities offered by advanced real-time analytics such as run-time anomaly detection. In this paper, we propose an advanced telematics system orchestrated upon an edge computing framework in the context of the PrEstoCloud (Proactive Cloud Resources Management at the Edge for Efficient Real-Time Big Data Processing) project. This telematics system is a real-time data-intensive application running at the extreme edge of the network for drivers' behavior profiling and triggering run-time alerts. Such functionalities may be useful in order to notify stakeholders for example drivers and logistic centers on situations where a possible accident may occur or attention is required.

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For most events of at least moderate significance, there are likely tens, often hundreds or thousands of online articles reporting on it, each from a slightly different perspective. If we want to understand an event in depth, from multiple perspectives, we need to aggregate multiple sources and understand the relations between them. However, current news aggregators do not offer this kind of functionality. As a step towards a solution, we propose DiversiNews, a real-time news aggregation and exploration platfom whose main feature is a novel set of controls that allow users to contrast reports of a selected event based on topical emphases, sentiment differences and/or publisher geolocation. News events are presented in the form of a ranked list of articles pertaining to the event and an automatically generated summary. Both the ranking and the summary are interactive and respond in real time to user’s change of controls. We validated the concept and the user interface through user tests with positive results.

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