"system downtime" is a correct and usable phrase in written English.
It typically refers to the period of time when an electronic system is not available, often due to maintenance or a malfunction. For example, "The server experienced an unexpected system downtime due to an unexpected power outage."
Scalant removal can incur significant chemical costs, result in system downtime, and reduce membrane lifetime.
The paper tackles this problem for a system whose major components can be maintained only during a planned system downtime.
The offered isolation makes it possible to have multiple instances with different configurations running over the same physical infrastructure, and it relatively reduces the system downtime.
Migrating large relational databases from physical infrastructure into the cloud presents many significant challenges, e.g., managing system downtime, choosing suitable cloud instances, and choosing a cloud provider.
In an attempt to reduce system downtime and avoid catastrophic failure, the fault diagnosis (FD) of onshore grid-connected converters has gained increasing attention.
The optimization results identify the trade-off between system downtime and maintenance costs as a function of preventive maintenance thresholds and inspection frequency.
The results showed that the system's downtime is considered high, so, we proposed a new architecture to improve the system's performability.
The complexity of deriving a correct manual configuration of an arbitrary set of components, however, is a key source of system failures, downtime, and missed deadlines.
The proposed system ensured lower downtime.
The modeling and analysis of the DTDC in this paper provide a selection basis of designing for disasters in consideration of the trade-off between system availability and downtime cost with infrastructure construction cost.
High availability (HA) is one of the components contributing to continuous service provision for applications, by masking or eliminating both planned and unplanned systems and application downtime.
