A new QoS Management Approach in real-time GIS with heterogeneous real-time geospatial data using a feedback control scheduling
Geographic Information System (GIS) is a computer system designed to capture, store, manipulate, analyze, manage, and present all types of spatial data. Spatial data, whether captured through remote sensors or large scale simulations becomes more and big and heterogenous. As a result, structured data and unstructured content are simultaneously accessed via an integrated user interface. The issue of real-time and heterogeneity is extremely important for taking effective decision. Thus, heterogeneous real-time spatial data management is a very active research domain nowadays. Existing research are interested in querying of real-time spatial data and their updates without taking into account the heterogeneity of real-time geospatial data. In this paper, we propose the use of the real-time Spatial Big Data and we define a new architecture called FCSA-RTSBD (Feedback Control Scheduling Architecture for Real-Time Spatial Big Data). The main objectives of this architecture are the following: take in account the heterogeneity of data, guarantee the data freshness, enhance the deadline miss ratio even in the presence of conflicts and finally satisfy the requirements of users by the improving of the quality of service (QoS).