Network Intelligence as a Necessity of the New Time

Realization of a modernization agenda requires improvement of competencies and intellectualization of territorial development of the management system in conditions of increasing uncertainty of the management situation and systemic risks. The purpose of our study was to analyze a spatial distribution of an intellectual potential of regions and propose a conclusion about leveling of risks from gaps in the economic space. We consider the following competencies as a basis of a potential that determines intellectualization of the management system. This is the ability to train personnel of HSQ and create and promote innovations. The factor analysis was used as a tool. The following conclusion was made: it is necessary to pay attention to development of national scientific schools because the education system is a basis for a formation of the competence economy. Moreover, it is necessary to stimulate development of the entire system of knowledge reproduction, and the entire space without gaps. The pandemic forced active development of digital platforms, transferring many spheres of public life. Opportunities for creating “the network intelligence” have increased. The need to improve competencies has increased, including development of a digital environment. It is possible to eliminate systemic risks that have arisen due to the gap in the economic space by strengthening collaborations based on digital platforms and forming “the network intelligence”. The basic element of knowledge reproduction is training of qualified personnel at the university education system. Therefore, it is necessary to continue strengthening the integration and form collective models of the innovation process.

NOTED: a framework to optimise network traffic via the analysis of data from File Transfer Services

Network traffic optimisation is difficult as the load is by nature dynamic and seemingly unpredictable. However, the increased usage of file transfer services may help the detection of future loads and the prediction of their expected duration. The NOTED project seeks to do exactly this and to dynamically adapt network topology to deliver improved bandwidth for users of such services. This article introduces, and explains the features of, the two main components of NOTED, the Transfer Broker and the Network Intelligence component. The Transfer Broker analyses all queued and on-going FTS transfers, producing a traffic report which can be used by network controllers. Based on this report and its knowledge of the network topology and routing, the Network Intelligence (NI) component makes decisions as to when a network reconfiguration could be beneficial. Any Software Defined Network controller can then apply these decision to the network, so optimising transfer execution time and reducing operating costs.