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posted by LaminatorX on Thursday October 30 2014, @03:16PM   Printer-friendly
from the n(log(n)) dept.

The control of modern infrastructure such as intelligent power grids needs lots of computing capacity. Scientists of the Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg have developed an algorithm that might revolutionise these processes. With their new software the SnT researchers are able to forego the use of considerable amounts of computing capacity, enabling what they call micro mining. Their achievements, which the team headed by Prof. Yves Le Traon published in the International Conference on Software Engineering and Knowledge Engineering, earned the scientists a Best Paper Award during this event.

Modern infrastructure – from the telephone network and alarm systems to power supply systems – is controlled by computer programmes. This intelligent software continuously monitors the state of the equipment, adjusts system parameters if they deviate, or generates error messages. To monitor the equipment, the software compares its current state with its past state by continuously measuring the status quo, accumulating this data, and analysing it. That uses a considerable portion of available computing capacity. Thanks to their new algorithm, the SnT researchers' software no longer has to continuously analyse the state of the system to be monitored the way established techniques do. In carrying out the analysis of the system, it instead seamlessly moves between state values that were measured at different points in time.

http://phys.org/news/2014-10-lots-capacity-algorithm.html

[Source]: http://wwwen.uni.lu/university/news/latest_news/saving_lots_of_computing_capacity_with_a_new_algorithm

 
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  • (Score: 0) by Anonymous Coward on Thursday October 30 2014, @05:28PM

    by Anonymous Coward on Thursday October 30 2014, @05:28PM (#111597)

    But please don't implement the denial mode many human brains display when the facts don't fit their preferred model. I don't want a grid control tell the operators "everything is OK, there's no problem" while the grid is already moving towards total disaster, ignoring/explaining away all the alarming measurement data that doesn't fit the model.