Big Data Optimization: Recent Developments and Challenges by Ali Emrouznejad

Big Data Optimization: Recent Developments and Challenges by Ali Emrouznejad

Author:Ali Emrouznejad
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham


3.1.3 Growth of Available Data

Next to the abstraction level of information and temporal issues, there is another Big Data aspect to monitoring, which is the growth of available data [8, 9]. Due to the advances in microelectronics, sensors can produce more data in a faster way. Data can be transported using more bandwidth and be stored in much larger quantities. While processing power also has increased, the growth of data remains an issue. Especially in the case of the establishment of phenomenological models—as described above—it is, in the beginning, often unknown what data should be measured and processed by the LSMS and what data is not relevant for producing the desired information. This results in the acquirement of a large amount of data, which all has to be processed.

Based on this general high level overview of several aspects of the relationship between Big Data and monitoring, it is possible to look at the relationship from three different constraint-based points of view.



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