The motto of this year’s DIGITAL FUTUREcongress on February 14, 2019,…
The success of the digital transformation in all areas of our life is mostly based on a suitably distributed architecture of data center functionalities as well as their (energy-)efficient use along with certified and secure networking of all involved components. The Internet of Things (IoT) lives in and through this architecture, allowing platforms to exchange data between all associated elements, from classic data centers to edge data centers to all devices, vehicles etc. which are connected to the IoT. Data centers are the production facilities of the digital industry and at Hannover Messe 2019 (April 1 to 5) in Germany, maincubes demonstrates in hall 6 (Digital Factory), booth B57, how platforms can be used to turn data centers into secure and connected smart factories.
As a digitalization expert and data center operator headquartered in Frankfurt am Main, maincubes developed a full concept for that endeavor along with launching the maincubes secureexchange® platform. It facilitates the seamless exchange of data between all participants of a value chain along with comprehensive end-to-end security. An open, cloud-based operating system, which has been specifically developed to meet the requirements of IoT projects and is operated via the platform, ensures that data transfers remain encrypted. Like on a marketplace, users of the eco-system can exchange information and services, leverage synergies and expedite new business models for the monetization of data quicker, more efficiently and with less risk.
With IoT and AI, data centers become predictive and more efficient
The necessary permanent monitoring of infrastructure, usage and all security-relevant facilities of a data center or a network of data centers along with the customers’ IT systems it contains generates enormous amounts of data in the fraction of a second. These data volumes could potentially help all participants to significantly increase security as well as to optimize and improve usage efficiency. If this data is smartly analyzed according to its data-historical progress in order to quickly react to current events, all participants – from the data center operator to contracted maintenance companies to the customers themselves – are able to draw important conclusions from the data. For example, reacting in a timely manner to immediate or soon-to-be security-relevant events, performing predictive maintenance of components or ensuring proactive IT capacity management (e.g. when and where can or should a customer install new IT systems) only constitute a small selection of the important benefits, which the platform solution and its AI-based analysis tools enable. Even a smart control loop, in which the results of the data analysis are immediately used to directly control and regulate the associated processes, for example for the purpose of increasing energy efficiency, is conceivable.