Abstract: A computer-implemented method for live migration of a logical dedicated host and virtual machines (VMs) associated therewith from a first physical server to a second physical server, in accordance with one aspect of the present invention, includes, in response to receiving a request to migrate a logical dedicated host from the first physical server, creating a clone of the logical dedicated host thereby creating a clone dedicated host. The clone dedicated host is provisioned on a second physical server. VMs are migrated from the logical dedicated host to the clone dedicated host. The migration is transparent such that user operations being performed on the VMs continue uninterrupted during the migration. In response to completion of the migrating of the VMs to the clone dedicated host, the logical dedicated host is caused to be de-provisioned from the first physical server.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises, in response to receiving a request for a task to be performed, optimizing configured operational parameters based on prioritized user parameters and environmental details associated with the task; calculating a value of the task based, at least in part, the optimized configured parameters, environmental details associated with the task, and prioritized user parameters; and performing the task based on the optimized, configured parameters and calculated value.

Abstract: In an approach for recommending locations to visit at an optimal experience time and optimal spot to take a photo and/or a video of a location, a processor determines a geographic location where a user is located. A processor identifies a plurality of targeted locations within a pre-defined distance of the geographic location of the user. A processor determines an optimal time to visit the plurality of targeted locations. A processor determines an optimal weather condition to experience the plurality of targeted locations. A processor determines an optimal spot to capture at least one of a photo and a video of the plurality of targeted locations. A processor assigns a ranking to the plurality of targeted locations based on a set of factors in a user profile of the user. A processor outputs a recommendation with at least one of the plurality of targeted locations as an alert notification.

Abstract: In an approach for recommending locations to visit at an optimal experience time and optimal spot to take a photo and/or a video of a location, a processor determines a geographic location where a user is located. A processor identifies a plurality of targeted locations within a pre-defined distance of the geographic location of the user. A processor determines an optimal time to visit the plurality of targeted locations. A processor determines an optimal weather condition to experience the plurality of targeted locations. A processor determines an optimal spot to capture at least one of a photo and a video of the plurality of targeted locations. A processor assigns a ranking to the plurality of targeted locations based on a set of factors in a user profile of the user. A processor outputs a recommendation with at least one of the plurality of targeted locations as an alert notification.

Abstract: A method, computer system, and a computer program product for internal product composition analysis is provided. The internal product composition analysis may begin by receiving a product return identifier associated with a product and then retrieving a plurality of product data based on the received product return identifier, wherein the retrieved plurality of product data includes one or more expected features. Then one or more internal images of the product are generated and one or more internal features of the product are identified from the generated one or more internal images The identified one or more internal features may then be compared with the one or more expected features and in response to determining that the identified one or more internal features match the one or more expected features, accepting the product return.

Abstract: A computer is used to identify objects related to an event using networked computer system resources. A request is received to assess objects within a vicinity of an event for uses related to the event. A type of event is determined and objects identified within the vicinity. The identified objects are assessed for applicability relating to the event. The identified objects are scored based on applicability of each of the identified objects to the event. The identified objects are ranked based on the score for each of the identified objects, and based on accessibility factors for each of the identified objects, and the accessibility factors include locations of the identified objects, respectively, within the vicinity. A notification is sent to a user's device with the ranking for viewing by a user on a display of the user's device.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises, in response to receiving a request for a task to be performed, optimizing configured operational parameters based on prioritized user parameters and environmental details associated with the task; calculating a value of the task based, at least in part, the optimized configured parameters, environmental details associated with the task, and prioritized user parameters; and performing the task based on the optimized, configured parameters and calculated value.

Abstract: One or more processors may receive user specific data and location data. A recommendation machine learning algorithm may be utilized by the one or more processors to analyze the user specific data and location data. A visit recommendation may be generated by the one or more processors using the recommendation machine learning algorithm, where the visit recommendation comprises one or more recommended locations. The one or more recommended locations of the visit recommendation may be arranged, by the one or more processors utilizing a scheduling algorithm, into a visit schedule. The visit recommendation or visit schedule may be revised, by the one or more processors, using real-time user data. An optimized visit schedule to a user may be output, by the one or more processors to a graphical user interface on a user device.

Abstract: Product discovery is enhanced by allowing a user in a connected kitchen to share their food consumption habits with friends and trusted companies. Smart devices installed in the kitchen sense the food being prepared, such as a camera which automatically records an image of a food item, and image recognition is performed to identify the item. A cloud server has contact information for individuals associated with the user such as designated friends or social groups, and also has promotional information for available sales offers regarding food-related products. The server generates a food product recommendation based on the dish being prepared by the user and based on the sales offers, and sends a notification to the friends identifying the user, the dish and a particular sales offer. The system rewards users based on their influence, gleaned from the number of such offers that are accepted by the friends.

Abstract: Product discovery is enhanced by allowing a user in a connected kitchen to share their food consumption habits with friends and trusted companies. Smart devices installed in the kitchen sense the food being prepared, such as a camera which automatically records an image of a food item, and image recognition is performed to identify the item. A cloud server has contact information for individuals associated with the user such as designated friends or social groups, and also has promotional information for available sales offers regarding food-related products. The server generates a food product recommendation based on the dish being prepared by the user and based on the sales offers, and sends a notification to the friends identifying the user, the dish and a particular sales offer. The system rewards users based on their influence, gleaned from the number of such offers that are accepted by the friends.

Abstract: Disclosed herein is a herbal cleansing composition comprising extracts of herbs along with dehydroxanthan gum and alkylpolyglucoside and cosmeceutically acceptable excipients and method of preparing the same.