Methods, systems, and computer readable mediums for optimizing data processing
Methods, systems, and computer readable mediums for optimizing data processing are disclosed. According to one exemplary embodiment, a method for optimizing data processing includes receiving data usage information associated with at least one user-defined key performance indicator (KPI), determining, using the data usage information, optimization information for optimizing data processing, and providing the optimization information to at least one resource.
1. A method for optimizing data processing, the method comprising:
at a computing platform configured to use data usage information to optimize data processing in a managed computing environment:
receiving, using a user interface, the data usage information associated with at least one user-defined key performance indicator (KPI) related to the managed computing environment, wherein the at least one user-defined KPI is different from pre-defined KPIs, wherein the data usage information includes information indicative of an amount or a frequency that the at least one user-defined KPI is used;
determining, using the data usage information, optimization information for optimizing computation of the at least one user-defined KPI; and
optimizing, using the optimization information, the computation of the at least one user-defined KPI by pre-computing, using at least one processing resource of the computing platform, the at least one user-defined KPI based on the amount or the frequency that the at least one user-defined KPI is used.
2. The method of claim 1 wherein the data usage information includes a search query, a user activity, a user input, a custom indicator, an access rule, a security policy, a quality of service (QoS) policy, historical information, preconfigured information, management information, or user preference information.
3. The method of claim 1 wherein receiving the data usage information includes receiving the data usage information periodically.
4. The method of claim 1 wherein the data usage information includes information obtained from a second computing platform different from the computing platform, a converged infrastructure system, a virtual machine, a hypervisor, a compute component, a network component, a storage component, software, an operating system, firmware, hardware, a physical resource, or a virtual resource.
5. The method of claim 1 wherein determining, using the data usage information, the optimization information includes ranking the at least one user-defined KPI using complexity, frequency, processing time, or popularity associated with the at least one user-defined KPI.
6. A system for optimizing data processing, the system comprising:
a computing platform comprising:
a processor; and
an optimization engine implemented using the processor, wherein the optimization engine is configured to use data usage information to optimize data processing in a managed computing environment, wherein the optimization engine is configured to receive, using a user interface, the data usage information associated with at least one user-defined key performance indicator (KPI) related to the managed computing environment, wherein the at least one user-defined KPI is different from pre-defined KPIs, wherein the data usage information includes information indicative of an amount or a frequency that the at least one user-defined KPI is used, to determine, using the data usage information, optimization information for optimizing computation of the at least one user-defined KPI, and to optimize, using the optimization information, the computation of the at least one user-defined KPI by pre-computing, using at least one processing resource of the computing platform, the at least one user-defined KPI based on the amount or the frequency that the at least one user-defined KPI is used.
7. The system of claim 6 wherein the data usage information includes a search query, a user activity, a user input, a custom indicator, an access rule, a security policy, a quality of service (QoS) policy, historical information, preconfigured information, management information, or user preference information.
8. The system of claim 6 wherein the optimization engine is configured to receive the data usage information periodically.
9. The system of claim 6 wherein the data usage information includes information obtained from a second computing platform different from the computing platform, a converged infrastructure system, a virtual machine, a hypervisor, a compute component, a network component, a storage component, software, an operating system, firmware, hardware, a physical resource, or a virtual resource.
10. The system of claim 6 wherein the optimization engine is configured to rank the at least one user-defined KPI using complexity, frequency, processing time, or popularity associated with the at least one user-defined KPI.
11. A non-transitory computer readable medium having stored thereon executable instructions which, when executed by a processor of a computer, cause the computer to perform steps comprising:
at a computing platform configured to use data usage information to optimize data processing in a managed computing environment:
receiving, using a user interface, the data usage information associated with at least one user-defined key performance indicator (KPI) related to the managed computing environment, wherein the at least one user-defined KPI is different from pre-defined KPIs, wherein the data usage information includes information indicative of an amount or a frequency that the at least one user-defined KPI is used;
determining, using the data usage information, optimization information for optimizing computation of the at least one user-defined KPI; and
optimizing, using the optimization information, the computation of the at least one user-defined KPI by pre-computing, using at least one processing resource of the computing platform, the at least one user-defined KPI based on the amount or the frequency that the at least one user-defined KPI is used.
12. The non-transitory computer readable medium of claim 11 wherein the data usage information includes a search query, a user activity, a user input, a custom indicator, an access rule, a security policy, a quality of service (QoS) policy, historical information, preconfigured information, management information, or user preference information.
13. The non-transitory computer readable medium of claim 11 wherein receiving the data usage information includes receiving the data usage information periodically.
14. The non-transitory computer readable medium of claim 11 wherein the data usage information includes information obtained from, a second computing platform different from the computing platform, a converged infrastructure system, a virtual machine, a hypervisor, a compute component, a network component, a storage component, software, an operating system, firmware, hardware, a physical resource, or a virtual resource.
15. The non-transitory computer readable medium of claim 11 wherein determining, using the data usage information, the optimization information includes ranking the at least one user-defined KPI using complexity, frequency, processing time, or popularity associated with the at least one user-defined KPI.