Methods, systems and apparatus to improve cluster efficiency

Abstract

Methods, apparatus, systems and articles of manufacture are disclosed to improve cluster efficiency. An example apparatus includes a cluster manager to identify cluster resource details to execute a workload, a workload manager to parse the workload to identify services to be executed by cluster resources, and an optimization formula manager to identify service optimization formulas associated with respective ones of the identified services, and improve cluster resource efficiency by generating a cluster formula configuration to calculate cluster parameter values for the cluster resources.

1 . An apparatus, comprising:
 a cluster manager to identify cluster resource details to execute a workload;   a workload manager to parse the workload to identify services to be executed by cluster resources; and   an optimization formula manager to:
 identify service optimization formulas associated with respective ones of the identified services; and 
 improve cluster resource efficiency by generating a cluster formula configuration to calculate cluster parameter values for the cluster resources. 
   
     
     
         2 . The apparatus defined in  claim 1 , further including a request manager to identify a request for cluster resource efficiency in response to receiving the workload. 
     
     
         3 . The apparatus as defined in  claim 2 , wherein the workload includes a workload edit file having default service values. 
     
     
         4 . The apparatus as defined in  claim 3 , wherein the optimization formula manager is to calculate operating violations in response to a change to respective ones of the default service values. 
     
     
         5 . The apparatus as defined in  claim 1 , wherein the cluster resource details include at least one of a number of processing cores or an amount of memory. 
     
     
         6 . The apparatus as defined in  claim 1 , further including a formula database including the service optimization formulas. 
     
     
         7 . The apparatus as defined in  claim 1 , further including a cluster manager to generate a workload snapshot comparison between a first workload and a second workload. 
     
     
         8 . The apparatus as defined in  claim 7 , wherein the cluster manager is to identify workload setting differences between the first workload and the second workload. 
     
     
         9 . The apparatus as defined in  claim 8 , wherein the workload setting differences include at least one of service value settings, added services, or removed services. 
     
     
         10 . The apparatus as defined in  claim 7 , wherein the cluster manager is to associate the first workload and first performance data of the cluster resources with a first linking identifier. 
     
     
         11 . The apparatus as defined in  claim 10 , wherein the first linking identifier is to identify the first performance data of the cluster resources at a first time associated with settings of the first workload, and a second linking identifier is to identify second performance data of the cluster resources at a second time associated with settings of the second workload. 
     
     
         12 . The apparatus as defined in  claim 10 , wherein the first performance data includes at least one of heap size utilization or service memory utilization. 
     
     
         13 . A method to improve cluster efficiency, comprising:
 identifying cluster resource details to execute a workload;   parsing the workload to identify services to be executed by cluster resources;   identifying service optimization formulas associated with respective ones of the identified services; and   improving cluster resource efficiency by generating a cluster formula configuration to calculate cluster parameter values for the cluster resources.   
     
     
         14 . The method as defined in  claim 13 , further including identifying a request for cluster resource efficiency in response to receiving the workload. 
     
     
         15 . The method as defined in  claim 14 , wherein the workload includes a workload edit file having default service values. 
     
     
         16 . The method as defined in  claim 15 , further including calculating operating violations in response to a change to respective ones of the default service values. 
     
     
         17 . The method as defined in  claim 13 , wherein the cluster resource details include at least one of a number of processing cores or an amount of memory. 
     
     
         18 . The method as defined in  claim 13 , wherein the service optimization formulas are retrieved from a formula database. 
     
     
         19 . The method as defined in  claim 13 , further including generating a workload snapshot comparison between a first workload and a second workload. 
     
     
         20 . The method as defined in  claim 19 , further including identifying workload setting differences between the first workload and the second workload. 
     
     
         21 .- 47 . (canceled)