Selecting optimal hypervisor platforms that satisfy application workload requirements
US-2015373093-A1 · Dec 24, 2015 · US
US9912742B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-9912742-B2 |
| Application number | US-201514831064-A |
| Country | US |
| Kind code | B2 |
| Filing date | Aug 20, 2015 |
| Priority date | Dec 10, 2014 |
| Publication date | Mar 6, 2018 |
| Grant date | Mar 6, 2018 |
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A method that provides for the grouping under a same workload of both application instances in an application tier, and data sharing members in a data tier. This grouping enables a workload manager to make recommendations (to load balancer appliances) about how to distribute workload connections, e.g., based on metrics gathered from both the application and data tiers. In this approach, both applications and data sources are grouped into a workload grouping, and health, status and capacity information about both of these tiers (application and data) is then used to determine an overall distribution policy for the workload. These different tiers can reside on the same or different operating system environments.
Opening claim text (preview).
Having described our invention, what we now claim is as follows: 1. A method for providing improved load balancing of workload connection requests directed to application instances and data sharing members that are each supported in first and second sites, and wherein each of the first and second sites has its own copy of the application instances and data sharing members, comprising: associating together, as a combined workload group, the application instances and the data sharing members; receiving metrics associated with application instances and the data sharing members that together comprise the combined workload group; using the received metrics to generate a distribution policy for workload connection requests to access the application instances, the distribution policy being derived from the received metrics about the application instances and the data sharing members that have been associated together in the combined workload group; providing the distribution policy to a load balancer that has responsibility to select which of the first and second sites receives a particular workload connection request; and receiving and executing, by the load balancer, the distribution policy, wherein a selection by the load balancer is based on the distribution policy for the application instances and the data sharing members that have been associated together in the combined workload group to provide for the improved load balancing of the workload connection requests; wherein the application instances are hosted in an application tier in a first operating system environment, and wherein the data sharing members are hosted in a data tier in a second operating system environment, the first and second operating system environments being distinct from one another. 2. The method as described in claim 1 further including: receiving from the load balancer, at a given one or more first and second sites, a new workload connection request from the load balancing appliance and based on the provided distribution policy; and processing the new workload connection request. 3. The method as described in claim 1 wherein the metrics include information associated with health and availability of the application instances, together with information about a capacity of the application instances to process additional work. 4. The method as described in claim 1 further including: dynamically determining a total number of available application instances and data sharing members; and wherein the distribution policy is based on the metrics and the total number of available application instances and data sharing members dynamically determined. 5. The method as described in claim 3 wherein the metrics include information associated with health and availability of the data sharing members, together with information about a capacity of the data sharing members to process additional work. 6. The method as described in claim 5 wherein the distribution policy is based at least in part on a capacity of the application instances to process additional work relative to the capacity of the data sharing members to process additional work.
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