Challenges of Using Different Mathematical Models for Load Balancing Optimization in Multi-Core Computing Systems

Abstract

This paper examines the role of applying different artificial intelligence techniques for the implementation of load balancing in the dynamic environment of distributed multi-core computing systems. Were investigated several methods to optimize the assignment process between computing nodes and executing tasks after the occurrence of a dynamic and interactive event, when traditional discrete load balancing techniques are ineffective.

Defining Parameters for the Oscillation Model of Load Flow of Global Activities in a Fully Distributed Exascale System

“…Traditional distributed computing systems are based on a pre-defined problemtechnical accounting (PTA) (Ismayilova, N. T., 2020). In such systems, for achieving the goal defined in the equation ( 2), the load balancer configures and starts the system according to pre-defined process requirements.…”