Операционно-временная модель функционирования систем комплексной обработки геопространственных данных в условиях дефицита их ресурсов

Abstract

Introduction: Improving the information capabilities of modern remote sensing satellites and increasing the number of geographically distributed objects whose events can be interesting for the monitoring are fundamentally limited by the possibilities of the geospatial data processing systems. Therefore, the system resources should be rapidly reallocated in order to solve all the problems more exhaustively. Purpose: To develop an operational and temporal model for the functioning of complex geospatial data processing systems, which would take into account the coefficient of relative importance of the incoming events and allow you to develop effective methods of operational management of such systems. Results: We have determined a quality score for the functioning of a geospatial data integrated processing system. It characterizes the completeness of solving the problems within a specified period of time, taking into account the event significance. An operational and temporal model has been developed for the functioning of such a system, which takes into account the coefficient of relative importance of incoming events and the delays in responses to them. Mutually complementary approaches have been proposed to the resource management of such systems. The first one is predicting the emergence of new events on the base of the information about the previous events. The second one is the redistribution of resources in order to meet the challenges in responding to the events according to their relative importance. Practical relevance: The proposed operational and temporal model can significantly improve the effectiveness of integrated geospatial data processing systems and thus reduce the cost of their operation, as it is the basis for developing efficient methods of operative management of complex processing resources when these resources are insufficient.