Iterative simulation of requirement metrics for assumption and schema-free configuration management

• US 9,215,085 B2
• Filed: 01/19/2012
• Issued: 12/15/2015
• Est. Priority Date: 01/19/2012
• Status: Active Grant

• Current Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Original Assignee: Empire Technology Development LLC (Allied Inventors Management, LLC)
• Inventors: Kruglick, Ezekiel
• Primary Examiner(s): Bates, Kevin
• Assistant Examiner(s): Naoreen, Nazia
• Application Number:
  US13/576,471
• Publication Number:
  US 20130191531A1
• Time in Patent Office: 1,426 Days
• Field of Search: 709/224
• US Class Current: 1/1
• CPC Class Codes: H04L 41/12 Discovery or management of network topologies
• CPC Class Codes: H04L 41/5064 Customer relationship management
• CPC Class Codes: H04L 43/55 Testing of service level quality, e.g. simulating service usage

Abstract

Technologies are presented for a method and a system that is configured to receive a topology description of an existing customer deployment and a set of achieved performance metrics at a current datacenter and iterate simulations using policy settings across available service levels to find settings that match or exceed the achieved performance levels. Customer specifications may be received in a standardized format along with measured performance so that settings can be derived from fundamental simulation. The resulting simulations may be used to generate a menu of options and their performance automatically for a customer and that information may be provided to a configuration manager when the customer chooses a setup.

Claims

1. A method for configuration management in cloud migration based on one or more simulations of measured performance, the method comprising:

receiving a topology description of an existing customer deployment and a set of achieved performance levels at a current datacenter;

combining the topology description with a test set of policy settings at a destination datacenter;

in response to a cooperative transfer of data from the current datacenter to the destination datacenter, iterating the one or more simulations of the measured performance at the destination datacenter using the test set of the policy settings across available service levels to identify the policy settings that at least match the set of achieved performance levels; and

in response to a non-cooperative transfer of the data from the current datacenter to the destination datacenter,

testing the available service levels at the destination datacenter to identify the policy settings that at least match the set of achieved performance levels; and

enabling a customer to access the data at the destination datacenter that matches the set of achieved performance levels.

2. The method according to claim 1, further comprising:

performing the combining and the iterating at a third party service based on received destination datacenter policies and the available service levels; and

providing the policy settings that at least match the set of achieved performance levels to one of the customer and the destination datacenter.

3. The method according to claim 1, further comprising:

performing the combining and the iterating at the destination datacenter based on received destination datacenter policies and the available service levels; and

providing the policy settings that at least match the set of achieved performance levels to the customer.

4. The method according to claim 3, further comprising:

offering the customer multiple possible packages based on the policy settings and simulation results.

5. The method according to claim 1, wherein the policy settings define at least one from a set of:

allowed bandwidth, distance between topology points, response time for one or more services, a storage limit, a storage quota, and/or a scalability factor.

6. The method according to claim 1, wherein iterating the one or more simulations comprises:

comparing simulation results to the set of achieved performance levels;

if the simulation results fail to reach the set of achieved performance levels, iterating through the policy settings;

else

adding current policy settings as customer options summarized by high level performance specifications; and

iterating a comparison of the simulation results until the policy settings of the destination datacenter are processed.

7. The method according to claim 6, further comprising:

employing the simulation results to automatically generate a menu of the customer options and associated performances for the customer; and

providing the customer options and the associated performances to a configuration manager when the customer chooses a setup.

8. A computing device to implement configuration management in cloud migration based on one or more simulations of measured performance, the computing device comprising:

a memory configured to store instructions; and

a processing unit configured to execute a migration application in conjunction with the instructions, wherein the migration application is configured to;

receive a topology description of an existing customer deployment and a set of achieved performance levels at a current datacenter;

combine the topology description with a test set of policy settings at a destination datacenter;

in response to a cooperative transfer of data from the current datacenter to the destination datacenter, iterate the one or more simulations of the measured performance at the destination datacenter using the test set of the policy settings across available service levels to identify the policy settings that at least match the set of achieved performance levels; and

in response to a non-cooperative transfer of the data from the current datacenter to the destination datacenter,

test the available service levels at the destination datacenter to identify the policy settings that at least match the set of achieved performance levels; and

enable a customer to access the data at the destination datacenter that matches the set of achieved performance levels.

9. The computing device according to claim 8, wherein the set of achieved performance levels provided as quantifiable nonproprietary customer requirements.

10. The computing device according to claim 8, wherein the migration application is configured to:

iterate the one or more simulations by;

comparing simulation results to the set of achieved performance levels;

if the simulation results fail to reach the set of achieved performance levels, iterating through the policy settings;

else

adding current policy settings as customer options summarized by high level performance specifications; and

iterating a comparison of the simulation results until the policy settings of the destination datacenter are processed;

employ the simulation results to automatically generate a menu of the customer options and associated performances for the customer;

provide the customer options and the associated performances to a configuration manager when the customer chooses a setup; and

present the menu of the customer options to the customer.

11. The computing device according to claim 10, wherein the policy setting details are hidden in the menu of the customer options presented to the customer and one or more performance metrics for an offered package are presented with a link to associated policy settings.

12. The computing device according to claim 10, wherein the migration application is further configured to:

enable the customer to select a target performance and deliver a full list of the policy settings and the available service levels to the configuration manager such that the customer is able to select complex service options without having to one of;

learn set underlying policies and manually set underlying policies.

13. The computing device according to claim 8, wherein the set of achieved performance levels are measured at the current datacenter by one of the current datacenter, by the destination datacenter, and by a third party customer deployment service without assistance from the current datacenter.

14. The computing device according to claim 8, wherein the topology description of the existing customer deployment is provided employing a standardized format.

15. The computing device according to claim 14, wherein the standardized format is generated by a representative Internet topology generator.

16. The computing device according to claim 8, wherein the cloud migration includes one of:

a single source to multiple target migration, a multiple source to single target migration, and a multiple source to multiple target migration.

17. A non-transitory computer-readable storage medium having instructions stored thereon for configuration management in cloud migration based on iterative simulation of measured performance, the instructions comprising:

receiving a topology description of an existing customer deployment and a set of achieved performance levels at a current datacenter;

combining the topology description with a test set of policy settings at a destination datacenter;

in response to a cooperative transfer of data from the current datacenter to the destination datacenter, iterating the one or more simulations of the measured performance at the destination datacenter using the test set of the policy settings across available service levels to identify the policy settings that at least match the set of achieved performance levels;

in response to a non-cooperative transfer of the data from the current datacenter to the destination datacenter,

testing the available service levels at the destination datacenter to identify the policy settings that at least match the set of achieved performance levels; and

enabling a customer to access the data at the destination datacenter that matches the set of achieved performance levels;

comparing simulation results to the set of achieved performance levels;

if the simulation results fail to reach the set of achieved performance levels, iterating through the policy settings;

else

adding current policy settings as customer options summarized by high level performance specifications; and

iterating a comparison of the simulation results until the policy settings of the destination datacenter are processed.

18. The non-transitory computer-readable storage medium of claim 17, wherein a standardized format is generated by a representative Internet topology generator.

19. The non-transitory computer-readable storage medium of claim 17, wherein the cloud migration includes one of:

a single source to multiple target migration, a multiple source to single target migration, and a multiple source to multiple target migration.

20. The non-transitory computer-readable storage medium of claim 17, wherein the instructions further comprise:

employing the simulation results to automatically generate a menu of the customer options and associated performances for the customer;

providing the options and the associated performances to a configuration manager when the customer chooses a setup; and

presenting the menu of the customer options to the customer.