SYSTEM AND METHOD FOR CONFIGURING A CLOUD COMPUTING SYSTEM WITH A SYNTHETIC TEST WORKLOAD

• US 20140047272A1
• Filed: 08/07/2012
• Published: 02/13/2014
• Est. Priority Date: 08/07/2012
• Status: Active Grant

• Current Assignee: Advanced Micro Devices, Inc.
• Original Assignee: Advanced Micro Devices, Inc.
• Inventors: Breternitz, Mauricio, Lowery, Keith A., Kaminski, Patryk, Chernoff, Anton
• Granted Patent: US 9,152,532 B2
• Time in Patent Office: Days
• US Class Current: 714/32
• CPC Class Codes: G06F 11/26 Functional testing
• CPC Class Codes: G06F 11/3414 Workload generation, e.g. scripts, playback
• CPC Class Codes: G06F 11/3433 for load management allocation of a server based on load conditions G06F9/505; load rebalancing G06F9/5083; redistributing the load in a network by a load balancer H04L67/1029
• CPC Class Codes: G06F 11/3495 for systems
• CPC Class Codes: G06F 9/5072 Grid computing

Abstract

The present disclosure relates to a method and system for configuring a computing system, such as a cloud computing system. A method includes selecting, based on a user selection received via a user interface, a workload for execution on a cluster of nodes of the computing system. The workload is selected from a plurality of available workloads including an actual workload and a synthetic test workload. The method further includes configuring the cluster of nodes of the computing system to execute the selected workload such that processing of the selected workload is distributed across the cluster of nodes. The synthetic test workload may be generated by a code synthesizer based on a set of user-defined workload parameters provided via a user interface that identify execution characteristics of the synthetic test workload.

Claims

1. A method of configuring a computing system carried out by one or more computing devices, the method comprising:

selecting, based on a user selection received via a user interface, a workload for execution on a cluster of nodes of the computing system, the workload being selected from a plurality of available workloads including an actual workload and a synthetic test workload, the actual workload comprising a code module stored in memory accessible by the one or more computing devices; and

configuring the cluster of nodes of the computing system to execute the selected workload such that processing of the selected workload is distributed across the cluster of nodes.

2. The method of claim 1, further comprising providing the user interface, the user interface comprising selectable actual workload data and selectable synthetic test workload data, wherein the selecting the workload is based on the user selection of at least one of the selectable actual workload data and the selectable synthetic test workload data.

3. The method of claim 2, wherein the one or more computing devices selects at least one of a pre-generated synthetic test workload and a set of user-defined workload parameters based on the user selection of the selectable synthetic test workload data, the pre-generated synthetic test workload comprises a code module stored in memory accessible by the one or more computing devices, and the one or more computing devices is operative to generate a synthetic test workload based on the selection of the set of user-defined workload parameters.

4. The method of claim 1, further comprising generating, by a code synthesizer of the one or more computing devices, the synthetic test workload based on user-defined workload parameters received via the user interface, the user-defined workload parameters identifying execution characteristics of the synthetic test workload.

5. The method of claim 4, wherein the user-defined workload parameters comprise at least one of:

a number of instructions of the synthetic test workload, a type of instruction of the synthetic test workload, a latency associated with an execution of at least one instruction of the synthetic test workload, and a maximum number of execution iterations of the synthetic test workload, and wherein the type of instruction includes at least one of an integer instruction, a floating point instruction, and a branch instruction.

6. The method of claim 4, wherein the user-defined workload parameters identify at least a portion of an instruction set architecture of a node of the cluster of nodes.

7. The method of claim 4, wherein the one or more computing devices generates the synthetic test workload such that an execution of the synthetic test workload by the cluster of nodes is operative to simulate execution characteristics associated with an execution of an actual workload by the cluster of nodes.

8. The method of claim 1, further comprising selecting, based on a user selection received via the user interface, a workload container module for operation on each node of the cluster of nodes, the workload container module comprising a code module that when executed by the each node is operative to coordinate execution of the selected workload on the cluster of nodes.

9. A computing configuration system comprising:

a workload configurator operative to select, based on a user selection received via a user interface, a workload for execution on a cluster of nodes of a computing system, the workload being selected from a plurality of available workloads including an actual workload and a synthetic test workload, the actual workload comprising a code module stored in a memory accessible by the one or more computing devices; and

a node configurator operative to configure the cluster of nodes of the computing system to execute the selected workload such that processing of the selected workload is distributed across the cluster of nodes.

10. The system of claim 9, wherein the user interface comprises a graphical user interface, the system comprising at least one processor and memory containing executable instructions that when executed by the at least one processor cause the at least one processor to provide the graphical user interface on a display, the graphical user interface comprising data representing the workload configurator and the node configurator.

11. The system of claim 10, wherein the graphical user interface comprises selectable actual workload data and selectable synthetic test workload data, wherein the workload configurator selects the workload based on the user selection of at least one of the selectable actual workload data and the selectable synthetic test workload data.

12. The system of claim 11, wherein the workload configurator selects at least one of a pre-generated synthetic test workload and a set of user-defined workload parameters based on the user selection of the selectable synthetic test workload data, the pre-generated synthetic test workload comprises a code module stored in memory accessible by the workload configurator, and the workload configurator is operative to generate a synthetic test workload based on the selection of the set of user-defined workload parameters.

13. The system of claim 9, wherein the workload configurator comprises a code synthesizer operative to generate the synthetic test workload based on user-defined workload parameters received via the user interface, and the user-defined workload parameters identify execution characteristics of the synthetic test workload.

14. The system of claim 13, wherein the user-defined workload parameters comprise at least one of:

a number of instructions of the synthetic test workload, a type of instruction of the synthetic test workload, a latency associated with an execution of at least one instruction of the synthetic test workload, and a maximum number of execution iterations of the synthetic test workload, and wherein the type of instruction includes at least one of an integer instruction, a floating point instruction, and a branch instruction.

15. A method of configuring a computing system carried out by one or more computing devices, the method comprising:

generating, by a code synthesizer of the one or more computing devices, a synthetic test workload for execution on a cluster of nodes of the computing system based on a set of user-defined workload parameters provided via a user interface, the set of user-defined workload parameters identifying execution characteristics of the synthetic test workload; and

configuring the cluster of nodes of the computing system with the synthetic test workload to execute the synthetic test workload such that processing of the synthetic test workload is distributed across the cluster of nodes.

16. The method of claim 15, wherein generating the synthetic test workload is further based on computer architecture data that identifies at least one of an instruction set architecture and a microarchitecture of the cluster of nodes.

17. The method of claim 15, further comprising

providing the user interface, the user interface comprising selectable synthetic test workload data;

and

selecting the set of user-defined workload parameters for generating the synthetic test workload based on at least one user selection of the selectable synthetic test workload data.

18. The method of claim 15, wherein the set of user-defined workload parameters are identified in a data structure displayed on a user interface, the data structure including a plurality of modifiable input fields, wherein each modifiable input field identifies at least one user-defined workload parameter.

19. The method of claim 18, wherein the set of user-defined workload parameters comprise at least one of:

a number of instructions of the synthetic test workload, a type of instruction of the synthetic test workload, a latency associated with an execution of at least one instruction of the synthetic test workload, and a maximum number of execution iterations of the synthetic test workload, and wherein the type of instruction includes at least one of an integer instruction, a floating point instruction, and a branch instruction.

20. The method of claim 15, further comprising

generating, by the code synthesizer, a plurality of synthetic test workloads, each synthetic test workload being generated based on a different computer architecture associated with nodes of the computing system, each computer architecture including at least one of an instruction set architecture and a microarchitecture.

21. The method of claim 15, further comprising

selecting a modified hardware configuration of at least one node of the cluster of nodes based on a user selection received via the user interface;

and

configuring the cluster of nodes having the modified hardware configuration to execute the synthetic test workload, the modified hardware configuration being operative to reduce at least one of a computing capacity and a memory capacity of the at least one node during execution of the synthetic test workload.

22. A computing configuration system comprising:

a workload configurator operative to generate a synthetic test workload for execution on a cluster of nodes of a computing system based on a set of user-defined workload parameters provided via a user interface, the set of user-defined workload parameters identifying execution characteristics of the synthetic test workload; and

a node configurator operative to configure the cluster of nodes of the computing system with the synthetic test workload to execute the synthetic test workload such that processing of the synthetic test workload is distributed across the cluster of nodes.

23. The system of claim 22, wherein the workload configurator is operative to generate the synthetic test workload further based on computer architecture data that identifies at least one of an instruction set architecture and a microarchitecture of the cluster of nodes.

24. The system of claim 22, further comprising at least one processor and memory containing executable instructions that when executed by the at least one processor cause the at least one processor to provide the user interface comprising selectable synthetic test workload data, wherein the workload configurator is operative to select the set of user-defined workload parameters for generating the synthetic test workload based on at least one user selection of the selectable synthetic test workload data.

25. The system of claim 22, wherein the set of user-defined workload parameters are identified in a data structure displayed on a user interface, and the data structure includes a plurality of modifiable input fields each identifying at least one user-defined workload parameter.

26. The system of claim 25, wherein the user-defined workload parameters comprise at least one of:

a number of instructions of the synthetic test workload, a type of instruction of the synthetic test workload, a latency associated with an execution of at least one instruction of the synthetic test workload, and a maximum number of execution iterations of the synthetic test workload, and wherein the type of instruction includes at least one of an integer instruction, a floating point instruction, and a branch instruction.

27. The system of claim 22, wherein the workload configurator is operative to generate a plurality of synthetic test workloads, each synthetic test workload being generated based on a different computer architecture associated with nodes of the computing system, each computer architecture including at least one of an instruction set architecture and a microarchitecture.