Deduplicated data processing congestion control

摘要

Various embodiments for deduplicated data processing congestion control in a computing environment are provided. In one such embodiment, a congestion target setpoint is calculated using one of a proportional constant, an integral constant, and a derivative constant, wherein the congestion target setpoint is a virtual dimension setpoint. A single congestion metric is determined from a sampling of a plurality of combined deduplicated data processing congestion statistics in a number of active deduplicated data processes. A congestion limit is calculated from a comparison of the single congestion metric to the congestion target setpoint, the congestion limit being a manipulated variable. The congestion limit is compared to the number of active deduplicated data processes. If the number of active deduplicated data processes are less than the congestion limit, a new deduplicated data process of the number of active deduplicated data processes is spawned.

主权项

1. A method for deduplicated data processing congestion control using at least one processor device in a computing environment, the method comprising:
calculating a congestion target setpoint using one of a proportional constant, an integral constant, and a derivative constant, wherein the congestion target setpoint is a virtual dimension setpoint; determining a single congestion metric from a sampling of a plurality of combined deduplicated data processing congestion statistics in a number of active deduplicated data processes; calculating a congestion limit from a comparison of the single congestion metric to the congestion target setpoint, the congestion limit being a manipulated variable; and comparing the congestion limit to the number of active deduplicated data processes, wherein if the number of active deduplicated data processes are less than the congestion limit, a new deduplicated data process of the number of active deduplicated data processes is spawned.