Efficient Model-Driven Prototyping for Edge Analytics
نویسندگان
چکیده
Software development cycles in the context of IoT! (IoT!) applications require orchestration different technological layers, and involve complex technical challenges. The engineering team needs to become experts these technologies time delays are inherent due cross-integration process because they face steep learning curves several technologies, which leads cost issues, often a resulting product that is prone bugs. We propose more straightforward approach construction high-quality IoT by adopting model-driven (DIME Pyrus), may be used jointly or isolation. presented use case connects various technologies: application interacts through EdgeX middleware platform with sensors data analytics pipelines. This web-based control collects, processes displays key information about state edge capture computing enables quick strategic decision-making. In study Stable Storage Facility (SSF), we DIME design for connectivity aspects, MongoDB storage Pyrus implement no-code Python. have integrated nine independent two distinct Low-code environments production seven pipelines, definition 25 SIBs DSLs. benchmarked showcase role code generation reusability components across applications. demonstrate embraces high level facilitates domain engineers create low-code fashion.
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ژورنال
عنوان ژورنال: Electronics
سال: 2023
ISSN: ['2079-9292']
DOI: https://doi.org/10.3390/electronics12183881