Infrastructure driven auto-scaling of workloads
US-2024419470-A1 · Dec 19, 2024 · US
US9116753B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9116753-B2 |
| Application number | US-201213543856-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 8, 2012 |
| Priority date | Jul 8, 2012 |
| Publication date | Aug 25, 2015 |
| Grant date | Aug 25, 2015 |
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A method includes, on a virtualization platform, creating a first runtime instance of a virtual appliance. The virtual appliance includes a solution stack of software components selected from a reference architecture. The method further includes, responsive to satisfaction of at least one performance criterion, dynamically scaling-out the solution stack to one or more additional runtime instances of the virtual appliance. The dynamically scaling-out includes distributing a subset of the solution stack to each of the first runtime instance and the one or more additional runtime instances.
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What is claimed is: 1. A method comprising: on a virtualization platform, creating a first runtime instance of a virtual appliance; wherein the virtual appliance comprises an image file that includes a pre-configured operating-system environment packaged with a solution stack of software components; wherein the solution stack of software components are selected software components of a reference architecture comprising a plurality of software components; responsive to satisfaction of at least one performance criterion, dynamically scaling-out the solution stack to one or more additional runtime instances of the virtual appliance such that, in total, more physical resources are provisioned to the solution stack; and wherein the dynamically scaling-out comprises distributing, based on scaling rules, a subset of the solution stack to each of the first runtime instance and the one or more additional runtime instances; wherein the scaling rules define a plurality of explosion levels; wherein, for each explosion level in the plurality of explosion levels, the scaling rules specify a total number of runtime instances, a particular subset of the solution stack that should be distributed to each runtime instance, and provisioning requirements for each runtime instance; wherein, for each runtime instance of the first runtime instance and the one or more additional runtime instances, the distributing comprises: activating software components of the solution stack distributed to the runtime instance; and deactivating software components of the solution stack not distributed to the runtime instance. 2. The method of claim 1 , wherein the dynamically scaling-out comprises creating the one or more additional runtime instances based on the scaling rules. 3. The method of claim 2 , wherein the dynamically scaling-out comprises provisioning physical resources to the one or more runtime instances based on the scaling rules. 4. The method of claim 2 , wherein: wherein the plurality of explosion levels comprise discrete levels of progressively increasing throughput that are defined in terms of runtime instances; and the dynamically scaling-out comprises transitioning from one level of the plurality of explosion levels to a higher level of the plurality of explosion levels. 5. The method of claim 1 , comprising dynamically scaling-in the solution stack to the first runtime instance. 6. The method of claim 1 , wherein the reference architecture comprises a service-oriented architecture (SOA). 7. The method of claim 1 , wherein the at least one performance criterion is selected from the group consisting of processor utilization and memory utilization. 8. The method of claim 1 , comprising facilitating communication among the software components. 9. The method of claim 8 , wherein the facilitating comprises utilizing distribution proxies associated with each of the software components. 10. An information handling system comprising: a computer system comprising physical resources; and a hypervisor resident on the computer system, wherein the hypervisor is operable to: create a first runtime instance of a virtual appliance; wherein the virtual appliance comprises an image file that includes a pre-configured operating-system environment packaged with a solution stack of software components; wherein the solution stack of software components are selected software components of a reference architecture comprising a plurality of software components; responsive to satisfaction of at least one performance criterion, dynamically scale-out the solution stack to one or more additional runtime instances of the virtual appliance such that, in total, more physical resources are provisioned to the solution stack; wherein the dynamic scale-out comprises distribution, based on scaling rules, of a subset of the solution stack to each of the first runtime instance and the one or more additional runtime instances; wherein the scaling rules define a plurality of explosion levels; wherein, for each explosion level in the plurality of explosion levels, the scaling rules specify a total number of runtime instances, a particular subset of the solution stack that should be distributed to each runtime instance, and provisioning requirements for each runtime instance; wherein, for each runtime instance of the first runtime instance and the one or more additional runtime instances, the distribution comprises: activation of software components of the solution stack distributed to the runtime instance; and deactivation of software components of the solution stack not distributed to the runtime instance. 11. The information handling system of claim 10 , wherein the virtual appliance comprises a metadata store, the metadata store comprising the scaling rules. 12. The information handling system of claim 11 , wherein the dynamic scale-out comprises creation of the one or more additional runtime instances based on the scaling rules. 13. The information handling system of claim 11 , wherein the dynamic scale-out comprises provision of at least a portion of the physical resources to the one or more runtime instances based on the scaling rules. 14. The information handling system of claim 11 , wherein: wherein the plurality of explosion levels comprise discrete levels of progressively increasing throughput that are defined in terms of a number of runtime instances; and the dynamic scale-out comprises a transition from one level of the plurality of explosion levels to a higher level of the plurality of explosion levels. 15. The information handling system of claim 10 , wherein the virtual appliance comprises an instance map that maps each software component of the solution stack to a runtime instance selected from among the first runtime instance and the one or more additional runtime instances. 16. The information handling system of claim 10 , wherein the hypervisor is operable to scale in the solution stack to the first runtime instance. 17. The information handling system of claim 10 , wherein the reference architecture comprises a service-oriented architecture (SOA). 18. The information handling system of claim 10 , wherein the at least one performance criterion is selected from the group consisting of processor utilization and memory utilization. 19. The information handling system of claim 10 , wherein the hypervisor is operable to facilitate communication among the software components via utilization of proxies associated with each of the software components. 20. A computer-program product comprising a non-transitory computer-usable medium having computer-readable program code embodied therein, the computer-readable program code adapted to be executed to implement a method comprising: creating a first runtime instance of a virtual appliance; wherein the virtual appliance comprises an image file that includes a pre-configured operating-system environment packaged with a solution stack of software components; wherein the solution stack of software components are selected software components of a reference architecture comprising a plurality of software components; responsive to satisfaction of at least one performance criterion, dynamically scaling-out the solution stack to one or more additional runtime instances of the virtual appliance such that, in total, more physical resources are provisioned to the solution stack; and wherein the dynamically scaling-out comprises distributing, based on scaling rules, a subset of the solution stack
Distribution of virtual machine instances; Migration and load balancing · CPC title
Hypervisor-specific management and integration aspects · CPC title
Techniques for rebalancing the load in a distributed system · CPC title
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