Planning for capacity is critical to ensure that there is no performance impact on primary systems because of XRC slowdown. To ensure that the system data mover (SDM) keeps up with update activity generated on primary systems, sufficient capacity in channels, processor resources, processor storage, journal data sets, and secondary bandwidth must be available.
However, even with the best capacity planning, significant deviations from projected workload peaks can still occur. This can occur as a result of unexpected shifts in operation schedules, variations in workloads caused by external conditions, or additional workloads added to an environment, without considering the ramifications to the disaster recovery implementation. In such situations, it is essential to have intelligence built into the SDM solution so it is able to process such peaks with minimal impact to the primary systems, while preserving an XRC environment. These algorithms have been built into the design and are described in greater detail in this topic.