OODIDA: On-Board/Off-Board Distributed Real-Time Data Analytics for Connected Vehicles
نویسندگان
چکیده
Abstract A fleet of connected vehicles easily produces many gigabytes data per hour, making centralized (off-board) processing impractical. In addition, there is the issue distributing tasks to on-board units in and them efficiently. Our solution this problem On-board/Off-board Distributed Data Analytics (OODIDA), which a platform that tackles both task distribution as well concurrent execution on arbitrary subsets edge clients. Its message-passing infrastructure has been implemented Erlang/OTP, while end points use language-independent JSON interface. Computations can be carried out programming languages. The OODIDA highly scalable, facilitating large numbers tasks.
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ژورنال
عنوان ژورنال: Data Science and Engineering
سال: 2021
ISSN: ['2364-1541', '2364-1185']
DOI: https://doi.org/10.1007/s41019-021-00152-6