Hewlett-packard Development Company, L.p.

Nileshkumar Gawali

Amit Kumar Singh

Gaurav Sujit Roy

Mengqi Hei

Sakshi Kandya

Sumit Raut

Madhurya Sarma

Sandip Brahmachary

Aravind Iyengar

Alok Bhatt

Siddhesh Arolkar

Chetan Satpute

In some examples, a computing device can include a processor resource and a non-transitory memory resource storing machine-readable instructions stored thereon that, when executed, cause the processor resource to: generate a model of activity for the computing device, determine a time period for performing a calculation based on the model, wherein the calculation utilizes performance metrics associated with the computing device, activate an agent at a start time of the time period to perform the calculation, send, by the agent, a result of the calculation to a remote computing device, and deactivate the agent in response to sending the result.

Performance metric calculations

The present subject matter relates to techniques of assigning a mobility factor to the user based on the spatial movement data. In one example, the technique may include four phases for assigning the mobility factors to the users. In a first phase, spatial movement data from a plurality of user devices assigned to a plurality of users may be received. In a second phase, spatial movement behavior for a set of user devices may be assessed using the received spatial movement data of the members of the set using machine learning techniques. In a third phase, user devices may be selected based on the assessed spatial movement behavior using machine learning techniques for reconfiguration. Finally, at a four phase, the selected user devices may be reconfigured.

Assessing spatial movement behavior

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Pune, India

Nileshkumar Gawali