High-performance computing and computational intelligence applications with a multi-chaos perspective

The pandemic caused by the COVID-19 virus has brought a strong wind of change to contemporary society. Our habits and the way we work have been transformed, and we have had to adapt to a different lifestyle. This abrupt transition has highlighted issues that require an evolution of IT services and infrastructures that adopt the state-of-the-art technologies that the research world offers. This is just the latest example in a long series of events that have forced companies to sharpen their computational techniques to cope with sudden, emerging needs. Over the past year, we have all seen how videoconferencing has become a widespread habit, smart working has become part of the daily routine, and the amount of data transiting the internet has increased by about 20% [1], and its use is not expected to decrease in the future. This imposes a radical change in many areas, including that of computational resources, which will be increasingly important to tackle complex problems generated by multichaotic situations. Many companies and organizations still use nonscalable architectures configured with a single general purpose server on which they perform calculations. This type of solution is not well suited to today’s needs, where it is important to be able to meet unexpected peaks in load while ensuring high reliability, i.e., constant availability of the services offered, and redundancy in the event of failure. The open source world provides a great deal of extremely interesting software that, for example, makes it possible to create clusters of computer nodes that adapt the computational capacity provided through various techniques, first and foremost horizontal scaling.