👉 Failure computing refers to the study and design of systems that can detect, diagnose, and recover from faults in a reliable and efficient manner. Traditional computing systems often fail silently or require manual intervention to identify issues, leading to downtime and potential data loss. Failure computing aims to build systems that can autonomously recognize errors, such as hardware malfunctions or software bugs, and take corrective actions like restarting processes, isolating faulty components, or even switching to redundant systems. This proactive approach enhances system resilience, reduces maintenance costs, and ensures continuous operation even in the presence of faults. By integrating fault tolerance mechanisms at various levels—hardware, software, and network—failure computing seeks to minimize the impact of failures and maintain system reliability and availability.
