Microsoft Technology Licensing, LLC

Apurva Bharatkumar Shah

V S Srujana Oruganti

Sunil Kumar

Sanjay H Ramaswamy

Sreeram Nivarthi

Neha Parikh Shah

Aaron James Harrison

Amit Prem Manghani

Aleksey Ashikhmin

Tannaz Sattari Tabrizi

Vindana Madhuwantha

Jagadeesh Virupaksha Huliyar

Nishtha Mehrotra

Diego Fernando Suarez Castillo

Carlos Andres Morales Torrado

Sida Peng

Nina Shikaloff

Nimesh Ravindra Desai

Ritu Lakhotia

Loren Erik Anderson

Ganesh Jaiswal

Florine Segers

Dinesh Badagayedapadavu Srinivas

Madhura Bhat Hathoklu

Siddarth Rajendra Kumar

Abhishek Kalai Raghavendra

Vishnu Gajendran

Sai Sumana Pagidipalli

Computer systems and computer-implemented methods are configured to assign limited resources such as cloud or other computing resources to objects such as networks of computers having demands for the resources. Efficiencies are optimized by assigning the objects based upon an intra-network score and an inter-network score, both of which may include an associated network density and/or an associated metric, and may be based on information received from electronic records. The metric may be a parameter relating to a factor or other characteristic that is desired to be optimized by the assignments. For example, the metric may be related to costs of communications between the computers of a network.

System and method for assigning resources to networks

A system and method for configuring an application is described. The system identifies user collaboration data of users of an application. The user collaboration data indicates durations of collaborations between one or more users using the application. The system computes an influencer score of a first user based on the duration of collaborations between the first user and the other users. The system determines that the influencer score of the first user exceeds an influencer score threshold and generates a configuration setting of the application for the first user. The system applies the configuration setting to the application for the first user.

Adoption content propagation based on user collaboration data

Growing community of inventors

Bengaluru, India

Apurva Bharatkumar Shah