Parameterized dynamic model for cloud migration
View Patent ↗Technologies are generally presented for a migration system and a method for moving data and applications from a cloud or non-cloud network to a cloud network employing a Parameterized Dynamic Model (PDM) having one or more multi-dimensional parameters. In some examples, the PDM parameters may represent the Service level Agreement (SLA) requirements that a target cloud may need to satisfy for a successful cloud migration. The PDM may include a Model Execution Code (MEC) module configured to execute the PDM acting upon the PDM parameter in a cloud environment following the sequencing defined in the PDM as a sequencing parameter. The PDM-MEC based migration system may also include fault-tolerance and error recovery during the migration while the MEC code is executed.
1. A method to implement a parameterized dynamic model (PDM) for cloud migration, the method comprising:
determining a plurality of PDM parameters with each parameter having one or more dimensions in an n-dimensional space, wherein the PDM defines service level agreement requirements to be met for migration from a source cloud to a target cloud; and
performing the cloud migration by executing the PDM according to a sequence defined by the PDM, wherein the PDM is a N×N dimensional model that is neither a matrix model nor a symmetrical model.
2. The method according to claim 1 , further comprising: defining in each dimension of a PDM parameter one from a set of a conditional limit, an attribute, a priority, and a fault tolerance action for the PDM parameter.
3. The method according to claim 1 , wherein the sequence of the PDM parameters is defined by a model execution code (MEC) with at least one fault tolerance feature and at least one backtracking feature.
4. The method according to claim 3 , wherein the MEC is part of one of: the PDM and an MEC module distinct from the PDM.
5. The method according to claim 3 , wherein the fault tolerance definition and the backtracking features are defined for one of each PDM parameter and a group of PDM parameters.
6. The method according to claim 3 , further comprising: enabling one of multiple retries and manual intervention to retune the PDM parameters through the fault-tolerance and back-tracking features in case of migration failure.
7. A computing device to implement a parameterized dynamic model (PDM) for cloud migration, 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:
determine a plurality of PDM performance parameters and notional parameters with each parameter having one or more dimensions, wherein the PDM defines service level agreement requirements to be met for migration from a source cloud to a target cloud, and wherein the notional parameters include model execution, sequencing of execution, error handling and reporting, temporary files creation, and clean-up at the target cloud; and
execute the PDM according to a sequence defined by the PDM.
8. The computing device according to claim 7 , wherein the sequence includes at least one of a parameter-to-parameter succession or a dimension-to-dimension succession.
9. The computing device according to claim 7 , wherein the migration application is further configured to:
determine the plurality of PDM parameters through at least one of automatic definition or manual definition; and
enable one of override and fine-tune one or more PDM parameters.
10. The computing device according to claim 7 , wherein the migration application is further configured to:
define one or more dimensions of the plurality of PDM parameters based on actual measurements in one of a cloud setting and a non-cloud setting.
11. The computing device according to claim 7 , wherein the plurality of PDM parameters is determined and the PDM executed by one or more of: a source cloud operator, a target cloud operator, and a third party facilitator.
12. The computing device according to claim 7 , wherein the PDM parameters define at least one from a set of: a server latency, a storage limit, a storage quota, a scalability factor, a backup guarantee, a computing power, a power backup, an uptime guarantee, a peak period load, a transaction processing timeout, a concurrent maximum users limit, a data roll back capacity, a real-time mirroring capability, a resource usage reporting capability, an audit trail capability, a support capability, and/or an automatic parallelization of code for a parallel computing environment.
13. The computing device according to claim 7 , wherein the dimensions of the PDM parameters include one or more of a numeric value and a logic value.
14. The computing device according to claim 7 , wherein the at least two PDM parameters have a distinct number of dimensions.
15. A non-transitory computer-readable storage medium having instructions stored thereon to implement a parameterized dynamic model (PDM) for cloud migration, the instructions comprising:
determining a plurality of PDM performance parameters and notional parameters with each parameter having one or more dimensions in an n-dimensional space, wherein the PDM defines service level agreement requirements to be met for migration from a source cloud to a target cloud, and wherein the notional parameters include model execution, sequencing of execution, error handling and reporting, temporary files creation, and clean-up at the target cloud; and
performing the cloud migration by executing the PDM according to a sequence defined by the PDM, wherein the PDM is a N×N dimensional model that is neither a matrix model nor a symmetrical model.
16. The non-transitory computer-readable storage medium of claim 15 , wherein the instructions further comprise:
defining in each dimension of a PDM parameter one from a set of a conditional limit, an attribute, a priority, and a fault tolerance action for the PDM parameter.
17. The non-transitory computer-readable storage medium of claim 15 , wherein the sequence of the PDM parameters is defined by a model execution code (MEC) with at least one fault tolerance feature and at least one backtracking feature defined for one of each PDM parameter and a group of PDM parameters, and wherein the instructions further comprise:
enabling one of multiple retries and manual intervention to retune the PDM parameters through the fault-tolerance and back-tracking features in case of migration failure.
18. The non-transitory computer-readable storage medium of claim 15 , wherein the instructions further comprise:
determining the plurality of PDM parameters through at least one of automatic definition or manual definition;
enabling a user to one of override and fine-tune one or more PDM parameters; and
defining one or more dimensions of the plurality of PDM parameters based on actual measurements in one of a cloud setting and a non-cloud setting.
19. The non-transitory computer-readable storage medium of claim 15 , wherein the instructions further comprise:
providing at least one of error reporting or final reporting associated with a migration attempt based on a user request.
20. The non-transitory computer-readable storage medium of claim 15 , 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.