Vindhya Gajanan

Mukesh Garg

Vikramjeet Singh

Vivek Koni Raghuveer

P N Prathima

Rahul Gupta

Prabhjeet Singh Chawla

Syed Mansoor Pasha

Ramnath Repakula

Systems and methods for managing overloaded machines in a virtual environment are provided. A device can include one or more processors, coupled to memory. The device can receive, for time intervals, a metric of performance of hardware of a machine hosting sessions between clients. The device can identify, for the time intervals, a plurality of scores indicative of performance of the corresponding plurality of sessions. The device can trigger an action to perform on the machine or at least one of the sessions responsive to i) the metric of performance of hardware failing a first threshold corresponding to availability of the hardware for a predetermined number of time intervals of the plurality of time intervals, and ii) the at least one of the plurality of scores failing a second threshold corresponding to satisfactory session performance for the same predetermined number of time intervals.

Detecting and managing overloaded machines in a virtual deployment

Described embodiments provide systems and methods for determining bounce-able machines. One or more processors can be coupled to memory. The one or more processors can identify data associated with a history of actions performed on a plurality of machines. The one or more processors can determine, using the data, a change in performance of the plurality of machines if a sequence of actions were applied to one or more of the plurality of machines. The one or more processors can select a machine of the plurality of machines based on at least on the change in performance of the machine satisfying a threshold. The one or more processors can initiate, responsive to the selection, the sequence of actions on the machine.

System and method to statistically determine and recommend bounce-able machines to improve user experience

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Bengaluru, India

Vindhya Gajanan