Fail-over cluster with load-balancing capability
AssigneeInternational Business Machines Corporation
InventorVincenzo Sciacca
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AssigneeInternational Business Machines Corporation
InventorVincenzo Sciacca
Estimating the term…
A solution for distributing the workload across the servers (105) in a fail-over cluster (for example, based on the MSCS) is proposed. A fail-over cluster is aimed at providing high availability; for this purpose, a resource service (205) automatically moves each resource (220) that exhibits some sort of failure to another server in the cluster. The proposed solution adds a monitor (240) that periodically measures a responsiveness of each resource. If the responsiveness of a resource is lower than a threshold value, the monitor inquiries a metrics provider (245) for determining the workload of all the servers in the cluster. The monitor then causes the resource service to move that resource to the server having the lowest workload in the cluster.
A method for clustering data processing resources in a fail-over cluster including a plurality of data processing nodes and a cluster service for moving each resource from a node to a further node, by taking offline the resource on the node and bringing online the resource on the further node, in response to the failing of the resource on the node, wherein the method is characterized by the steps of:
The method according to claim from 1, wherein a monitor is associated with each resource for measuring the corresponding at least one responsiveness parameter, the method further including the step of:
The method according to claim from 1, further including the step of:
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A fail-over cluster including a plurality of data processing nodes for clustering data processing resources and a cluster service for moving each resource from a node to a further node, by taking offline the resource on the node and bringing online the resource on the further node, in response to the failing of the resource on the node, characterized in that the cluster further includes means for measuring at least one responsiveness parameter indicative of the responsiveness of each resource, means for determining the workload of each node in response to the non-compliance of the responsiveness of at least one resource with a predefined criterion, means for selecting a still further node according to the workload of the nodes, and means (240) for causing the cluster service to move the at least one resource from the node to the still further node.
Dependencies are inferred from the claim text.