CLOUD ESTIMATOR TOOL

• US 20150271023A1
• Filed: 03/20/2014
• Published: 09/24/2015
• Est. Priority Date: 03/20/2014
• Status: Abandoned Application

• Current Assignee: Northrop Grumman Systems Corporation (Northrop Grumman Corporation)
• Original Assignee: Northrop Grumman Systems Corporation (Northrop Grumman Corporation)
• Inventors: ANDERSON, Neal David, SNYDER, William T., SHEK, Elinna, MACDONALD, James Richard
• Application Number:
  US14/221,027
• Publication Number:
  US 20150271023A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: H04L 41/145 involving simulating, designing, planning or modelling of a network
• CPC Class Codes: H04L 41/147 for predicting network behaviour
• CPC Class Codes: H04L 41/5096 wherein the managed service relates to distributed or central networked applications

Abstract

A cloud estimator tool can be configured to analyze a server configuration profile that characterizes hardware parameters for a node of a potential cloud computing environment and a load profile that characterizes computing load parameters for the potential cloud computing environment to generate a cloud computing configuration for the potential cloud computing environment. The cloud estimator tool determines a performance estimate and a cost estimate for the cloud computing configuration based on the hardware parameters and the computing load parameters characterized in the server configuration profile and the load profile.

Claims

1. A non-transitory computer readable medium having machine executable instructions, the machine executable instructions comprising:

a cloud estimator tool configured to;

analyze a server configuration profile that characterizes hardware parameters for a node of a potential cloud computing environment and a load profile that characterizes computing load parameters for the potential cloud computing environment to generate a cloud computing configuration for the potential cloud computing environment; and

determine a performance estimate and a cost estimate for the cloud computing configuration based on the hardware parameters and the computing load parameters characterized in the server configuration profile and the load profile.

2. The non-transitory computer readable medium of claim 1, wherein the hardware parameters of the server configuration profile include at least one of a server type input to indicate a server model, a days of storage input to indicate an average number of days the cloud computing configuration stays in operation, and an initial disk size field specifying a disk size in bytes.

3. The non-transitory computer readable medium of claim 1, wherein the load profile includes a workload profile that specifies I/O bound workloads and CPU bound workloads for a server node and a queryload profile that specifies an amount and rate at which queries are submitted to and received from a cluster.

4. The non-transitory computer readable medium of claim 3, wherein the workload profile includes a workload type that includes at least one of data exporting, filtering, text importing, data grouping, indexing, decoding/decompressing, statistical importing, clustering/classification, machine learning, and feature extraction.

5. The non-transitory computer readable medium of claim 4, wherein the workload profile includes workload inputs to specify the workload type, the workload inputs include at least one of a workload complexity factor that defines a weight of a job type, an expansibility factor to specify a change in accumulated data due to a MapReduce operation in the potential cloud computing environment, and a submissions per second field to specify the number of data requests per second.

6. The non-transitory computer readable medium of claim 3, wherein the queryload profile includes queryload inputs to specify the queryload type, the queryload inputs include at least one of an index query, a MapReduce query, and a statistical query.

7. The non-transitory computer readable medium of claim 6, wherein the queryload inputs include at least one of a queryload complexity factor to define a weight of a query type, an analytic load factor to specify a change in accumulated data due to a query operation, and a submissions per second field to specify the number of query requests per second.

8. The non-transitory computer readable medium of claim 1, wherein the cloud estimator tool is further configured to determine hardware costs to connect a cluster of server nodes based on a network and rack profile.

9. The non-transitory computer readable medium of claim 1, wherein the cloud estimator tool is further configured to determine operating requirements for the cloud computing configuration based on an assumptions profile, wherein the assumptions profile includes at least one of power specifications for the cloud computing configuration, facilities specifications for the cloud computing configuration, and support expenses for the cloud computing configuration.

10. The non-transitory computer readable medium of claim 1, wherein the cloud estimator tool is further configured to generate an estimated results output that includes at least one of a total price estimate for the cloud computing configuration, a minimum number of nodes required estimate for the cloud computing configuration, and a performance estimate for the cloud computing configuration.

11. The non-transitory computer readable medium of claim 10, wherein the estimated results output includes the total price estimate, and the total price estimate includes at least one of a price per node, and a support price for the cloud computing configuration.

12. The non-transitory computer readable medium of claim 10, wherein the estimated results output includes the performance estimate and the performance estimate includes an estimated number of CPU nodes, an minimum number of processor cores required per the estimated number of CPU nodes, and an estimated number of data nodes required that are serviced by the estimated number of CPU nodes.

13. The non-transitory computer readable medium of claim 1, wherein the cloud estimator tool further comprises an estimator model is further configured to monitor one or more parameters of one or more cloud configurations to determine a quantitative relationship between the server configuration profile and the load profile.

14. The non-transitory computer readable medium of claim 13, wherein the estimator model is further configured to employ at least one of a predictive model and a classifier to determine the quantitative relationship between the server configuration profile and the load profile.

15. The non-transitory computer readable medium of claim 1, wherein the cloud computing configuration models a Hadoop cluster.

16. A non-transitory computer readable medium having machine executable instructions, the machine executable instructions comprising:

an estimator model configured to;

monitor a parameter of a cloud configuration; and

determine a quantitative relationship between a server configuration profile and a load profile based on the monitored parameter; and

a cloud estimator tool configured to employ the estimator model to analyze a server configuration profile that characterizes hardware parameters for a node of a potential cloud computing environment and a load profile that characterizes computing load parameters for the potential computing environment to generate a cloud computing configuration for the potential cloud computing environment, wherein the estimator model is further configured to determine a performance estimate and a cost estimate for the cloud computing configuration based on the hardware parameters of the configuration profile and the computing load parameters of the load profile.

17. The non-transitory computer readable medium of claim 16, wherein the hardware parameters of the server configuration profile include at least one of a server type input to indicate a server model, a days of storage input to indicate an average number of days the cloud computing configuration stays in operation, and an initial disk size field specifying a disk size in bytes.

18. The non-transitory computer readable medium of claim 16, wherein the load profile includes a workload profile that specifies I/O bound workloads and CPU bound workloads for a server node and a queryload profile that specifies an amount and rate at which queries are submitted to and received from a cluster.

19. The non-transitory computer readable medium of claim 18, wherein the workload profile includes a workload type that includes at least one of data exporting, filtering, text importing, data grouping, indexing, decoding/decompressing, statistical importing, clustering/classification, machine learning, and feature extraction.

20. The non-transitory computer readable medium of claim 18, wherein the queryload profile includes a queryload type that includes at least one of an index query, a MapReduce query, and a statistical query.

21. A non-transitory computer readable medium comprising:

a graphical user interface (GUI) for a cloud estimator tool, the GUI comprising;

a configuration access element to facilitate configuration of a server configuration profile that characterizes hardware parameters for a node of a potential cloud computing environment;

a workload access element to facilitate configuration of a server-bound workload for the potential cloud computing environment;

a queryload access element to facilitate configuration of a query workload for the potential cloud computing environment;

a cloud estimator actuator configured to actuate the cloud estimator tool in response to user input, wherein the cloud estimator tool is configured to;

generate a load profile that includes computing load parameters for the potential cloud computing environment based on the server-bound workload and the query workload;

generate a cloud computing configuration and a corresponding price estimate for the potential cloud computing environment based on the server configuration profile and the load profile; and

a calculated results access element configured to provide information characterizing the cloud computing configuration and the corresponding performance estimate.

22. The non-transitory computer readable medium of claim 21, wherein the server-bound workload specifies I/O bound workloads and CPU bound workloads for a server node and the query workload specifies an amount and rate at which queries are submitted to and received from a cluster.