Selecting type and quantity of application masters that need to be started in advance

A resource manager of a Hadoop YARN system, the resource manager comprising:

• a memory, configured to store executable instructions;
• a processor configured, when executing the executable instructions in the memory, to:
• select, according to a type and a quantity of application masters (AMs) of the Hadoop YARN system that are to be started in advance, first resources from resources registered by a node manager (NM), wherein the AMs that are to be started in advance are to be started prior to receiving a job from a client by the resource manager;
• encapsulate the first resources into multiple containers matching the AMs that are to be started in advance;
• start the AMs that are to be started in advance in the matching containers;
• check, in the AMs that have been started in advance and according to information about the job received from the client, whether there is a matching AM to be used to execute the job, when the job is received;
• when there is a matching AM to be used to execute the job, submit the job to the matching AM for executions;
• record information about the AMs that are to be started in advance, wherein the information comprises host names, IP addresses, port numbers, application types and statuses of the AMs that are to be started in advance;
• and
• check whether the AMs that are to be started in advance are in a normal state, and if there is an AM in an abnormal state among the AMs that are to be started in advance, re-allocate a resource to start the AM that is in the abnormal state which is an AM that has failed.