Self-Healing of Complex Hardware and Software Systems

The article discusses various approaches to the organization of self-healing of complex systems. Modern technologies for the development of self-stabilizing systems, including reflection, graceful degradation and rejuvenation of system components, are analyzed. The role of artificial intelligence in self-treatment and self-healing of systems is considered. Modern hardware and software systems are becoming increasingly complex, which, in turn, increases the likelihood of events that may prevent the system from functioning normally. This can lead to huge losses for organizations that are becoming increasingly dependent on information systems. Various methods are traditionally used to minimize the risks associated with errors, attacks and failures. For example, an organization may decide to move to another resource in an alternative physical location (cloud), use data replication, backup servers, and so on. But as the system becomes more complex (more components, more external integrations), the implementation of some ways to ensure reliability and fault tolerance can be very expensive in terms of the resources needed for this. In this paper, we consider an integrated approach that allows an information system to fulfill its mission, called self-healing of systems.