A Residual Classes based mathematical model emerges as a sophisticated and powerful framework for assessing the reliability of computer systems, transcending conventional paradigms by offering a dynamic and comprehensive perspective on system robustness. Rooted in modular arithmetic and congruence theory, this model elegantly represents the intricate interplay of components within a computer system by partitioning its state space into distinct residue classes, each encapsulating a unique configuration of component states. This partitioning facilitates the characterization of system reliability through residual class transformations, enabling the modelling of fault propagation, error recovery, and fault tolerance mechanisms with remarkable clarity. The essence of this model lies in its ability to capture the nuanced interactions between various components and their responses to internal and external influences. By assigning residue classes to different states, such as functional, degraded, or failed, and defining congruence relations that map these classes onto each other, the model effectively simulates the flow of system behaviour over time. This allows for the analysis of fault scenarios, the evaluation of system performance under stress, and the prediction of reliability metrics under diverse conditions.
HTML PDFShare this article
Journal of Applied & Computational Mathematics received 1282 citations as per Google Scholar report
