Symantec Corporation

Veritas Technologies LLC

Anand J Bhalerao

Amol Shivram Katkar

Venkeepuram R Satish

Amit Haridas Rangari

Amit Gaurav

Vishal Thakur

Jai Gahlot

Various systems, methods, and processes to perform recovery operations in a cluster based on exponential backoff models are disclosed. A node failure is detected. The node is one of multiple nodes in a cluster. In response to the node failure, an application executing on the node is failed over to another node in the cluster. In response to the detecting the node failure, recovery operations are automatically performed to determine whether the node is recovered. A subsequent recovery operation is performed after a prior recovery operation. The subsequent recovery operation is performed periodically based on a frequency that decreases exponentially after performing the prior recovery operation.

Optimizing application recovery in unmanaged clusters

A computer-implemented method for determining the healthiness of nodes within computer clusters may include (1) identifying a computer cluster that includes a plurality of nodes configured to provide substantially continuous availability of at least one application, (2) identifying at least one operating system kernel installed on at least one of the nodes, (3) configuring the operating system kernel to (a) asynchronously monitor performance of the node and (b) determine, based at least in part on the node's performance, whether the node is sufficiently healthy to execute the application, (4) receiving a notification from the operating system kernel that indicates that the node is not sufficiently healthy to execute the application, and then (5) performing at least one action configured to enable the computer cluster to provide substantially continuous availability of the application despite the unhealthy node. Various other systems, methods, and computer-readable media are also disclosed.

Systems and methods for efficiently determining the health of nodes within computer clusters

A computer-implemented method for managing sub-clusters within dependent clustered computing systems subsequent to partition events may include (1) identifying a first computing cluster and a second computing cluster, (2) determining that the first computing cluster depends on the second computing cluster, (3) detecting a partition event that partitions the first computing cluster into multiple sub-clusters, (4) determining, in response to detecting the partition event, whether the second computing cluster is partitioned into multiple sub-clusters, and (5) making, based at least in part on determining whether the second computing cluster is partitioned into multiple sub-clusters, a fencing decision for the multiple sub-clusters of the first computing cluster. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for managing sub-clusters within dependent clustered computing systems subsequent to partition events

A computer-implemented method for fault recovery in multi-tier applications may include: 1) identifying a plurality of clusters, 2) identifying a multi-tier application that includes a plurality of components, each cluster within the plurality of clusters hosting a component, 3) identifying a fault of a first component within the plurality of components on a first cluster within the plurality of clusters, the fault requiring a first recovery action, 4) identifying at least one dependency relationship involving the first component and a second component within the plurality of components on a second cluster within the plurality of clusters, 5) determining, based on the fault and the dependency relationship, that the second component requires a second recovery action to ensure that the multi-tier application operates correctly, and 6) performing the second recovery action on the second component. Various other methods, systems, and computer-readable media are also disclosed.

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Maharashtra, India

Anand J Bhalerao