The article considers the issue of modeling the information process of distributing computing resources in geo-distributed heterogeneous dynamic computing environments. The relevance of the work is due to the fact that by now "cloud" data processing systems are becoming insufficient due to the need to process large volumes of data in real time regime. In this regard, the "fog" and "edge" computing are in use. This implies localization of data processing in order to reduce the time required for this, on the one hand, and on the other hand, limitations on the computing power of devices leads to the need for a distributed solution of computing problems in a heterogeneous, dynamic and geographically distributed environment. This entails the need to develop new methods and algorithms for computing resources allocation, since previously developed methods did not take into account the properties of geographic distribution and dynamics of computing environments. The model of the information process of computing resources allocation proposed in this work includes the parameters of the resource cost of data transfers over the network individually for the nodes participating in the data transfer route, as well as the process of distribution of computing resources, which is what distinguishes it from analogs. The conducted experimental studies confirm the feasibility of the proposed model usage for the computing resources allocation in geo-distributed heterogeneous dynamic computing environments. The practical significance lies in reducing the resource intensity of the process of distribution of computing resources and the process of solving a computing problem
