Computing architecture for IoT accepts continuous data updates

March 13, 2018 // By Peter Clarke
Fujitsu Laboratories Ltd. (Tokyo, Japan) has developed a stream processing architecture that can add or change content while processing large volumes of IoT data, without stopping.

The system is called Dracena – for Dynamically Reconfigurable Asynchronous Consistent EveNt-processing Architecture).

The advent of IoT and autonomous driving is expected to generate large volumes of continuously changing data and opportunities for real-time services to analyse this data. The problem is that conventional streaming computing systems have to be halted while a data set is changed and this usually makes intermediate results obtain with earlier data sets invalid.

Dracena is designed to automatically switch to a newly provided data processing program when a parallelized data processing job has been completed, by separating stream processing into data reception processing and actual data processing so that data reception processing and current data processing are not stopped.

Fujitsu Laboratories is looking to commercialize this technology during fiscal 2018 on the Mobility IoT Platform, offered by Fujitsu Ltd., and extend it to other industry areas.

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