ExaLB: a mathematical framework for load balancing to support distributed exascale computing environments

The dynamic and interactive nature of Distributed Exascale Computing System leads to a situation where the load balancer lacks the proper pattern for the solution. In addition to analyzing and reviewing the dynamic and interactive nature and its effect on load balancing, this article introduces a framework for managing load balancing that does not need to study the dynamic and interactive nature. This framework proposes a mathematical scheme for the functionality of load-balancing elements and redefines its functions and components. The redefinition makes it possible to determine the constituent parts of the framework and their functionality without the need to analyze the dynamic and interactive nature of the system. The proposed framework can manage and control dynamic and interactive events by reviewing changes in the functionality of resources, the pattern of data collection to execute processes related to the load balancer, and a Scalable tool. In addition to performing the load balancer’s functionality, our framework can continue to function under dynamic and interactive events in distributed exascale systems. On average, this framework has a 43% improvement, unable to respond to dynamic and interactive requests.