Empowerment of cluster and grid load balancing algorithms to support distributed exascale computing systems with high compatibility Online publication date: Mon, 30-May-2022
by Faezeh Mollasalehi; Shirin Shahrabi; Elham Adibi; Ehsan Mousavi Khaneghah
International Journal of Computational Science and Engineering (IJCSE), Vol. 25, No. 3, 2022
Abstract: The nature of the scientific applications that need to be distributed exascale systems is in a way that both traditional and distributed exascale systems programs are required. As a result, the load balancer not only supports traditional mechanisms of the load balancer, but also these mechanisms should be empowered to support the states caused by the occurrence of events with a dynamic and interactive nature. In this paper, a mathematical model examines the traditional load balancer that is used in cluster and grid computing systems that should support which characteristics to manage the dynamic and interactive nature in processes and execution in distributed exascale computing systems. In cluster and grid systems that can support the specified characteristics in this article, in 60% of the cases, the load balancer can manage events with a dynamic and interactive nature and use the mathematical model as the load balancing mechanism.
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