Abstract
The practical using of distributed computing systems associated with many problems, including troubles with the organization of an effective interaction between the agents located at the nodes of the system, with the specific configuration of each node of the system to perform a certain task, with the effective distribution of the available information and computational resources of the system, with the control of multithreading which implements the logic of solving research problems and so on. The article describes the method of computing load balancing in distributed automatic systems, focused on the multi-agency and multi-threaded data processing. The scheme of the control of processing requests from the terminal devices, providing the effective dynamic scaling of computing power under peak load is offered. The results of the model experiments research of the developed load scheduling algorithm are set out. These results show the effectiveness of the algorithm even with a significant expansion in the number of connected nodes and zoom in the architecture distributed computing system.
Highlights
At present, distributed computing systems (DCS) are increasingly intensely [1]
The Method of a Dynamic Connection of Resources In this paper, another method of load balancing in distributed computing systems was developed - the method of a dynamic connection of resources (DCR) as a result of the program experiments
58.5% more requests from the terminals connect to the MCC than those during working of the main control center without additional control centers (ACC)
Summary
At present, distributed computing systems (DCS) are increasingly intensely [1]. Parallel processing using a large number of computing nodes is a distinctive feature of the distributed computing systems. The advantage of this approach is the possibility of a rapid increase in productivity by the horizontal scaling of computing nodes and resources. There are three types of distributed systems [2]:. A cluster ―a certain number of computing nodes, combined with the LAN. Resources are used by only one working group [3]. In the DCS, clustering is performed only at the software level
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More From: IOP Conference Series: Materials Science and Engineering
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