OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles
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Connected vehicles may produce gigabytes of data per hour, which makes centralized data processing impractical at the fleet level. In addition, there are the problems of distributing tasks to edge devices and processing them efficiently. Our solution to this problem is OODIDA (On-board/off-board Distributed Data Analytics), which is a platform that tackles both task distribution to connected vehicles as well as concurrent execution of large-scale tasks on arbitrary subsets of clients. Its message-passing infrastructure has been implemented in Erlang/OTP, while the end points are language-agnostic. OODIDA is highly scalable and able to process a significant volume of data on resource-constrained clients.
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