Wipro Limited

Wlpro Limited

Abhishek Suman

Sreevidya Khatravath

Manikhantan Sanakara Raman

The present disclosure relates to a method and device for estimating efficiency of an employee of an organization. In one embodiment, the input data is received from one or more data sources. The input data is classified into one of location data, video data, voice data and text data of the employee. Using the location data and the video data, the trajectory information of the employee is generated. The trajectory information, the voice data and the text data are correlated. Based on the correlation, the efficiency of the employee is estimated.

Method and device for estimating efficiency of an employee of an organization

This technology relates to data management computing apparatuses, methods, and non-transitory computer-readable media that optimally manage heterogeneous data in a distributed environment in real time. The method comprises initializing a first storage pool capable of storing data from one or more sources, the first storage pool being distributed across one or more computing devices. Then data from the one or more sources may be stored in the first storage pool. Subsequently, one or more memory pools may be generated in a second storage pool based on amount of data to be stored in the first storage pool and one or more parameters associated with the data stored in the first storage pool. Finally, metadata is created in a first memory pool of the one or more memory pools for the data stored in the first storage pool, the metadata capable of retrieving the data stored in the first storage pool in real-time.

System and method for optimally managing heterogeneous data in a distributed storage environment

Systems and methods for performing memory management among a plurality of devices in a network are described. In one implementation, the method for performing memory management comprises obtaining memory requirements for execution of an application. The memory requirements indicate memory space needed for executing the application. Further, the method comprises creating at least one memory pool, based on the memory requirements, by aggregating physical memories of the plurality of devices. Further, the method comprises executing the application in the at least one memory pool using semaphores and a mutex application programming interface (API).

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Nalanda, India

Abhishek Suman