Method and apparatus for determining the capacity of an application cluster

Abstract

Provided in the disclosed embodiments are a method and an apparatus for obtaining a capacity of an application cluster. The method comprises: setting up a simulated application cluster to be tested, the simulated application cluster comprising at least two testing machines; performing an overall workload pressure testing on the test machines of the application cluster to obtain an average single-machine capability of the test machines; and calculating the application cluster capacity based on a total workload pressure of the application cluster and the average single-machine capability of the test machines. By setting up a simulated application cluster to be tested and performing an overall workload pressure test on multiple testing machines of the whole simulated application cluster, the disclosed embodiments can obtain a more accurate average single-machine capability of the machines that is closer to reality, thereby obtaining a more accurate capacity of the application cluster.

1 - 20 . (canceled) 
     
     
         21 . A method comprising:
 performing, by a processing device, overall workload pressure testing on each test machine in a simulated application cluster that includes at least one test machine using a preset initial workload pressure value for the simulated application cluster;   adjusting, by the processing device, the workload pressure value; and   calculating, by the processing device, an average single-machine capability of each test machine when the workload pressure value reaches a maximum value triggering a rate limit threshold of the application cluster.   
     
     
         22 . The method of  claim 21 , the adjusting the workload pressure value comprising reducing, by the processing device, the workload pressure value according to a preset step length when the initial workload pressure value triggers the rate limit threshold. 
     
     
         23 . The method of  claim 21 , further comprising:
 reducing, by the processing device, an application cluster capacity when a load capability of the application cluster reaches a capacity reduction threshold of auto scaling; and   using, by the processing device, an average query-per-second of each test machine as the average single-machine capability of the application cluster when the application cluster capacity is reduced and the load capability of the application cluster reaches a capacity expansion threshold of auto scaling.   
     
     
         24 . The method of  claim 23 , the reducing the application cluster capacity comprising gradually reducing, by the processing device, the application cluster capacity according to a preset capacity reduction ratio. 
     
     
         25 . The method of  claim 21 , further comprising calculating, by the processing device, a capacity percentage of a single application cluster within a set of application clusters after capacities of all the application clusters are obtained. 
     
     
         26 . The method of  claim 21 , further comprising adjusting, by the processing device, an application cluster capacity according to a planned data-handling capability of the application cluster. 
     
     
         27 . The method of  claim 26 , the adjusting the application cluster capacity according to a planned data-handling capability of the application cluster comprising adjusting, by the processing device, the application cluster capacity according to a ratio of the planned data-handling capability of the application cluster to a total workload pressure value of the application cluster. 
     
     
         28 . The method of  claim 21 , further comprising initializing the simulated application cluster by:
 identifying, by the processing device, an application cluster to simulate, the application cluster selected from a set of application clusters;   initializing, by the processing device, the simulated application cluster with at least two test machines if the set of application clusters comprises a single application cluster; and   initializing, by the processing device, the simulated application cluster with a single test machine if the set of application clusters comprises at least two application clusters.   
     
     
         29 . The method of  claim 21 , the performing overall workload pressure testing on each test machine comprising simulating, by the processing device, online traffic to each test machine. 
     
     
         30 . A non-transitory computer-readable storage medium for tangibly storing computer program instructions capable of being executed by a computer processor, the computer program instructions defining steps of:
 performing overall workload pressure testing on each test machine in a simulated application cluster that includes at least one test machine using a preset initial workload pressure value;   adjusting the workload pressure value; and   calculating an average single-machine capability of each test machine when the workload pressure value reaches a maximum value triggering a rate limit threshold of the application cluster.   
     
     
         31 . The non-transitory computer-readable storage medium of  claim 30 , the adjusting the workload pressure value comprising reducing, by the processing device, the workload pressure value according to a preset step length when the initial workload pressure value triggers the rate limit threshold. 
     
     
         32 . The non-transitory computer-readable storage medium of  claim 30 , steps further comprising:
 reducing, by the processing device, an application cluster capacity when a load capability of the application cluster reaches a capacity reduction threshold of auto scaling; and   using, by the processing device, an average query-per-second of each test machine as the average single-machine capability of the application cluster when the application cluster capacity is reduced and the load capability of the application cluster reaches a capacity expansion threshold of auto scaling.   
     
     
         33 . The non-transitory computer-readable storage medium of  claim 32 , the reducing the application cluster capacity comprising gradually reducing, by the processing device, the application cluster capacity according to a preset capacity reduction ratio. 
     
     
         34 . The non-transitory computer-readable storage medium of  claim 30 , the steps further comprising calculating, by the processing device, a capacity percentage of a single application cluster within a set of application clusters after capacities of all the application clusters are obtained. 
     
     
         35 . The non-transitory computer-readable storage medium of  claim 30 , the steps further comprising adjusting, by the processing device, an application cluster capacity according to a planned data-handling capability of the application cluster. 
     
     
         36 . The non-transitory computer-readable storage medium of  claim 35 , the adjusting the application cluster capacity according to a planned data-handling capability of the application cluster comprising adjusting, by the processing device, the application cluster capacity according to a ratio of the planned data-handling capability of the application cluster to a total workload pressure value of the application cluster. 
     
     
         37 . The non-transitory computer-readable storage medium of  claim 30 , the steps further comprising initializing a simulated application cluster by:
 identifying, by the processing device, an application cluster to simulate, the application cluster selected from a set of application clusters;   initializing, by the processing device, the simulated application cluster with at least two test machines if the set of application clusters comprises a single application cluster; and   initializing, by the processing device, the simulated application cluster with a single test machine if the set of application clusters comprises at least two application clusters.   
     
     
         38 . The non-transitory computer-readable storage medium of  claim 30 , the performing overall workload pressure testing on each test machine comprising simulating, by the processing device, online traffic to each test machine. 
     
     
         39 . A device comprising:
 a processor; and   a storage medium for tangibly storing thereon program logic for execution by the processor, the stored program logic comprising:   logic, executed by the processor, for performing overall workload pressure testing on each test machine in a simulated application cluster that includes at least one test machine using a preset initial workload pressure value;   logic, executed by the processor, for adjusting the workload pressure value; and   logic, executed by the processor, for calculating an average single-machine capability of each test machine when the workload pressure value reaches a maximum value triggering a rate limit threshold of the application cluster.   
     
     
         40 . The device of  claim 39 , the stored program logic further comprising:
 logic, executed by the processor, for reducing an application cluster capacity when a load capability of the application cluster reaches a capacity reduction threshold of auto scaling; and   logic, executed by the processor, for using an average query-per-second of each test machine as the average single-machine capability of the application cluster when the application cluster capacity is reduced and the load capability of the application cluster reaches a capacity expansion threshold of auto scaling.