The invention discloses a decentralized distributed timed task
processing method, belongs to the technical field of
data processing. The following problems are solved that: 1) hardware cost and maintenance cost are high; 2) the lightweight tasks and the heavy tasks are not isolated, so that the tasks are blocked; 3) task scheduling strongly depends on a third-party component; and 4) the problem that a preemptive routing strategy has problems and a large probability is concentrated to one task
machine to execute tasks. The technical scheme of the invention comprises the following steps of: 1, configuring task dynamic information and basic parameters; 2, after the task
machine is started, automatically registering the task; and 3, after registration is completed, the task
machine putting the task into a corresponding task
pool for execution, and storing an execution result into a
database, so that timed task business scenes of most systems can be met.