This paper considers a high-speed interconnect with a multidimensional topology. The paper is devoted to the optimization of fragmentation resulting from sequential allocation of computing nodes in a supercomputer provided that network traffic from different user’s tasks should not overlap. This paper is the continuation of resources fragmentation optimization work. In this work, the method for scheduling tasks based on the policy of choosing the first suitable task (First-Fit) in a certain task window has been added to the accounting for fragmentation when choosing nodes. A set of different computer systems with three-dimensional and four-dimensional topologies was considered. The minimum system size is 32 computing nodes, and the maximum is 144. A synthetic queue of tasks is set for each system. The parameters of the synthetic queues are close to real ones and are based on data received from the Desmos cluster equipped with Angara interconnect. The average utilization of the resources of the computer system and the average waiting time for the tasks in the queue is chosen as a method quality criterion. Various sizes of task windows have been evalauated. The study showed that the increase of the resources utilization for the proposed method averaged 7 \% compared to the base method, and the average time spent in queue was reduced by 36.6 \%.
Enterprises today are increasingly challenged to improve revenues, while cutting costs and maintaining customers' liability. On the industrial enterprise level this transfers into several spheres of improvement according to organisational chart of enterprise. Operational departments are to decrease work-in-progress. On the shop level the task is to increase the capacity with no extra capital aquisition. Marketing service should possibly improve customers' satisfaction. And planning depatrment is to optimize the usage of existing resources. The paper is aimed to analyse the trends in the sphere of planning, basing on the information systems' analyses which are targeted to meet the needs of all the above-mentioned actors.