Abstract: The present disclosure relates to automatically and periodically updating a multi-tier application stack in a cloud environment. More particularly, the present disclosure relates to systems and methods that access a central server to determine if new updates have been released, and when new updates have been released, automatically apply the new updates to an application environment with minimal network burden and service interruption.

Abstract: The present disclosure relates to exporting local applications to cloud systems and provisioning the exported application on the cloud systems. Additionally, templates can be generated for the provisioned application, and each template can be individually customized and deployed to a destination as an application environment with a defined topology. Rapidly and dynamically generating deployable templates of provisioned applications enables cloud-based distributed versioning of the applications.

Abstract: The present disclosure relates to automatically and periodically updating a multi-tier application stack in a cloud environment. More particularly, the present disclosure relates to systems and methods that access a central server to determine if new updates have been released, and when new updates have been released, automatically apply the new updates to an application environment with minimal network burden and service interruption.

Abstract: The present disclosure relates to exporting local applications to cloud systems and provisioning the exported application on the cloud systems. Additionally, templates can be generated for the provisioned application, and each template can be individually customized and deployed to a destination as an application environment with a defined topology. Rapidly and dynamically generating deployable templates of provisioned applications enables cloud-based distributed versioning of the applications.

Abstract: A system and a method for automatic cluster formation by automatically selecting nodes based on a selection criteria configured by the user is disclosed. During a cluster re-formation process, a failed node may automatically get replaced by one of the healthy nodes in its network, which is not part of any cluster avoiding cluster failures. In case of a cluster getting reduced to a single node due to node failures and failed nodes could not be replaced due to non-availability of free nodes, the single node cluster may be merged with a existing healthy clusters in the network providing a constant level of high availability. The proposed method may also provide an affective load balancing by maintaining a constant number of member nodes in a cluster by automatically replacing the dead nodes with a healthy node.

Abstract: A method for clustering comprising acquiring the required number of nodes for cluster formation based on node selection criteria; electing a cluster coordinator; and assigning the packages on the member nodes. The cluster coordinator is elected based on the mean time between failures value of the member nodes which may be calculated with the help of a diagnostic tool by logging the failure instances of the member nodes.

Abstract: A system and a method for automatic cluster formation by automatically selecting nodes based on a selection criteria configured by the user is disclosed. During a cluster re-formation process, a failed node may automatically get replaced by one of the healthy nodes in its network, which is not part of any cluster avoiding cluster failures. In case of a cluster getting reduced to a single node due to node failures and failed nodes could not be replaced due to non-availability of free nodes, the single node cluster may be merged with a existing healthy clusters in the network providing a constant level of high availability. The proposed method may also provide an affective load balancing by maintaining a constant number of member nodes in a cluster by automatically replacing the dead nodes with a healthy node.