ITERATIVE SIMULATION OF REQUIREMENT METRICS FOR ASSUMPTION AND SCHEMA-FREE CONFIGURATION MANAGEMENT

• US 20130191531A1
• Filed: 01/19/2012
• Published: 07/25/2013
• 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
• Granted Patent: US 9,215,085 B2
• Time in Patent Office: Days
• US Class Current: 709/224
• 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 iterative simulation 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; and

iterating one or more simulations using the test set of policy settings across available service levels to find policy settings that at least match the 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 service levels; and

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

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

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

providing the found policy settings that at least match the achieved performance levels to a customer.

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

offering the customer multiple possible packages based on the found 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.

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

comparing simulation results to the achieved performance levels;

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

else

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

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

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

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

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

6. (canceled)

9-15. -15. (canceled)

16. A computing device for implementing configuration management in cloud migration based on iterative simulation 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; and

iterate one or more simulations using the test set of policy settings across available service levels to find policy settings that at least match the achieved performance levels.

21. The computing device according to claim 16, wherein the performance levels provided as quantifiable nonproprietary customer requirements.

22. The computing device according to claim 16, wherein the migration application is configured to:

iterate the one or more simulations by;

comparing simulation results to the achieved performance levels;

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

else

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

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

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

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

present the menu of options to the customer.

25. The computing device according to claim 22, wherein policy setting details are hidden in the menu of options presented to the customer and one or more performance metrics for an offered package are presented with a link to associated policy settings.

26. The computing device according to claim 22, wherein the migration application is further configured to:

enable the customer to select a target performance and deliver a full list of policy settings and service levels to the configuration manager such that the customer is able to select complex service options without having to learn or manually set underlying policies.

27. The computing device according to claim 16, wherein the achieved performance levels are measured at the current datacenter by one of the current datacenter, by a destination datacenter, and by third party customer deployment service without assistance from the current datacenter.

28. The computing device according to claim 16, wherein the topology description of the existing customer deployment is provided employing a standardized format.

29. The computing device according to claim 28, wherein the standardized format is generated by a representative Internet topology generator.

30. The computing device according to claim 16, 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.

17-20. -20. (canceled)

23-24. -24. (canceled)

31. A 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;

iterating one or more simulations using the test set of policy settings across available service levels to find policy settings that at least match the achieved performance levels

comparing simulation results to the achieved performance levels;

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

else

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

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

38. The computer-readable storage medium of claim 31, wherein the instructions further comprise:

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

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

presenting the menu of options to the customer.

44. The computer-readable storage medium of claim 31, wherein a standardized format is generated by a representative Internet topology generator.

45. The computer-readable storage medium of claim 31, 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.

32-37. -37. (canceled)

39-43. -43. (canceled)