Vmware, Inc.

Narayanasamy Ramesh

Ritesh Ranjan Jha

Mageshwaran Rajendran

Sriram Balasubramanian

Soumya Panigrahi

Thangamani Kasi

Nishant Shreshth

Susobhit Panigrahi

Vijay Kumar Patil

Barnali Rakshit

Abhiman Rathnam

Neelu Sharma

Prerna Jain

Praveen Rudrappa

The disclosure provides a method for deploying resources in a multi-cloud environment. The method includes receiving, by a dynamic resource placement system, a request to generate a resource placement configuration for one or more resources to be deployed in a multi-cloud environment; obtaining, by the dynamic resource placement system, a custom resource placement logic; obtaining, by the dynamic resource placement system, a cloud context comprising details of available cloud environments in the multi-cloud environment; generating, by the dynamic resource placement system and based on analyzing the cloud context using the custom resource placement logic, a resource placement configuration specifying one or more target cloud environments for deploying the one or more resources; and providing, by the dynamic resource placement system, the resource placement configuration to a cloud infrastructure management platform for deploying the one or more resources.

Dynamic resource placement in multi-cloud environments

A system and method for sampling application programming interface (API) execution traces in a computer system uses feature vectors of the API execution traces that are generated using trace-context information. The feature vectors are then used to group the API execution traces into clusters. For the cluster, sampling rates are generated so that a sampling rate is assigned to each of the clusters. The sampling rates are then applied to the API execution traces to adaptively sample the API execution traces based on the clusters to which the API execution traces belong.

System and method for adaptively sampling application programming interface execution traces based on clustering

The current document is directed to a subsystem that is incorporated, in one implementation, within an automated application-release-management system. The subsystem to which the current document is directed determines, based on modifications to the source code for an application or another system that are submitted through a check-in process, a subset of tests within a large set of tests developed to test the application or system that invoke routines or other compilation units affected by the submitted source-code modifications. Only those tests that invoke routines and other compilation units affected by the source-code submissions need then be applied during testing and verification of the revised application or system.

Method and system for test-execution optimization in an automated application-release-management system during source-code check-in

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Bengaluru, India

Narayanasamy Ramesh