As the Internet-of-Vehicles (IoV) technology becomes an increasingly important trend for transportation, de-signing large-scale IoV systems has become a critical task that aims to process big data uploaded by fleet vehicles and to provide data services. The IoV data, especially high vehicle statuses (e.g., location, engine parameters), are characterized as large volume with a low density of value and low data quality. Such characteristics pose challenges for developing real-time applications based on such data. In this paper, we address the challenges in de-signing a scalable IoV system by describing CarStream, an industrial system of big data processing for chauffeured car services.Photon is deployed within Google Advertising System to join data streams such as web search queries and user clicks on advertisements. It produces joined logs that are used to derive key business metrics, including billing for advertisers. Our production deployment processes millions of events per minute at peak with an average end-to-end latency of less than 10 seconds. We also present challenges and solutions in maintaining large persistent state across geographically distant locations, and highlight the design principles that emerged from our experience.

Modern technology has enabled monitoring of large populations of live cells over extended time periods in experimental settings. Live imaging of cell populations growing in a culture vessel has been widely adopted in biomedical experiments. Such experiments create large amount of time images, and the information embedded in these images holds tremendous promise for scientific discovery. The growing amount of such data calls for automated or semi-automated computer vision tools to detect and analyze the dynamic cellular processes, and to extract the information necessary for biomedical study. Live cells are often of low contrast with little natural pigmentation, therefore they usually need to be stained or fixed in order to be visible under bright field microscopy or florescence microscopy. However, fixing or staining may destroy the cells or introduce artifacts.