International Business Machines Corporation

Ecobee Inc.

Kaustubh I Katruwar

Sandeep R Patil

Sasikanth Eda

Deepak R Ghuge

Sachin Chandrakant Punadikar

Sandeep Bazar

A computer-implemented method according to one embodiment includes identifying virtualization unit metadata for each of a plurality of nodes, the virtualization unit metadata including one or more guidelines for an application that is implemented by a virtualization unit, where the one or more guidelines include one or more benefits of a virtualization unit, one or more limitations of the virtualization unit, and one or more operating costs of the virtualization unit; determining, from the plurality of nodes, an optimal node for implementing a computation algorithm based on one or more required computation operations and the virtualization unit metadata for each of the plurality of nodes; and returning an identification of the optimal node.

Optimizing a workflow of a storlet architecture

A computer-implemented method according to one embodiment includes receiving a computation algorithm to be implemented by one of a plurality of nodes, identifying object classification data for objects stored within the plurality of nodes, identifying capability data for each of the plurality of nodes, determining an optimal node for implementing the computation algorithm from the plurality of nodes, based on the object classification data and the capability data, and returning an identification of the optimal node.

Minimizing data transport within a storlet architecture

Embodiments of the present invention provide a method and system for dynamically controlling an appliance based on information received from a wearable device, to regulate the user's health. A wearable device is identified and configured to monitor at least one physiological aspect of the user. A controllable appliance with at least one sensor and at least one controllable setting is also identified. Health information of the user is received and utilized in generating, a user profile which comprises parameters related to the health of the user. Data from the wearable device and date from the controllable appliance is analyzed and it is determined whether the data matches the parameters related to the health of the user. If the data does not match the parameters related to the health of the user, then at least one controllable setting of the at least one controllable appliance is adjusted.

Dynamic control of smart home using wearable device

A computer-implemented method according to one embodiment includes receiving a computation algorithm to be implemented by one of a plurality of nodes, determining one or more computation operations required by the computation algorithm, identifying virtualization unit metadata for each of the plurality of nodes, determining, from the plurality of nodes, an optimal node for implementing the computation algorithm based on the one or more computation operations and the virtualization unit metadata for each of the plurality of nodes, and returning an identification of the optimal node.

Embodiments of the present invention provide a method and system for dynamically controlling an appliance based on information received from a wearable device, to regulate the user's health. A wearable device is identified and configured to monitor at least one physiological aspect of the user. A controllable appliance with at least one sensor and at least one controllable setting is also identified. Health information of the user is received and utilized in generating, a user profile which comprises parameters related to the health of the user. Data from the wearable device and data from the controllable appliance is analyzed and it is determined whether the data matches the parameters related to the health of the user. If the data does not match the parameters related to the health of the user, then at least one controllable setting of the at least one controllable appliance is adjusted.

According to one exemplary embodiment, a method for embedded compute engine architecture optimization is provided. The method may include receiving an object. The method may also include determining a first category for the received object, whereby the determined first category is associated with a node. The method may then include storing the received object on the node associated with the determined first category. The method may further include receiving an algorithm. The method may also include determining a second category for the received algorithm, whereby the determined second category is associated with the node. The method may then include executing the received algorithm on the node, whereby the received algorithm uses the received object stored on the node.

Growing community of inventors

Pune, India

Kaustubh I Katruwar