Abstract: In some aspects, a computer-implemented method for diagnosing an unfavorable mobile application user experience is described. The method may include retrieving user application interaction data from a mobile device, inter-correlating the user application interaction data, updating a user interaction database with the inter-correlated user application data, and diagnosing, via a processor operatively connected to the user interaction database, information indicative of a cause of the unfavorable user experience.

Abstract: A method is provided for building patterns with high level pattern topology requirements for deployment across multiple systems. The patterns are built based on pattern capabilities and configurations of the multiple systems. Such patterns can meet the desired pattern capabilities including high availability and/or continuous capabilities.

Abstract: A method, system and computer program product for selecting virtual machines to be migrated to a public cloud. The current resource usage for virtual machine instances running in the private cloud is determined. Furthermore, any scaling policies attached to the virtual machine instances running in the private cloud are obtained. Additional resource usages for any of the virtual machine instances with a scaling policy are computed for when these virtual machine instances are scaled out. A cost of running a virtual machine instance in the public cloud is then determined using its current resource usage as well as any additional resource usage if a scaling policy is attached to the virtual machine instance based on the cost for running virtual machine instances in a public cloud. If the cost is less than a threshold cost, then the virtual machine instance is selected to be migrated to the public cloud.

Abstract: In one aspect, a computer-implemented method for compressing content based on a social factor, an environmental factor, and a relational factor is described. The method may include monitoring access to the content, forming, by a processor, a contextual evaluation based on the monitored access and determining an importance of the content based on the contextual evaluation. The method may further include storing the content in a compressed form, where the compressed form is selected based on the importance.

Abstract: A computer-implemented method for deploying a plurality of data conversion flow between a first application in a first system to a second application in a second system, without restarting the plurality of data conversation flow, is provided. The computer-implemented method may further include providing a plurality of modifiable data conversation that identifies a plurality of input parameters, a plurality of data formats, a plurality of data description, a plurality of conversation routines, a plurality of paths of the conversion routines, and a plurality of output information that determines routes of converted data for the first application. The computer-implemented method may further include converting the plurality of modifiable data conversion to form a data input from the first application to the second application.

Abstract: A method, system and computer program product for selecting virtual machines to be migrated to a public cloud. The current resource usage for virtual machine instances running in the private cloud is determined. Furthermore, any scaling policies attached to the virtual machine instances running in the private cloud are obtained. Additional resource usages for any of the virtual machine instances with a scaling policy are computed for when these virtual machine instances are scaled out. A cost of running a virtual machine instance in the public cloud is then determined using its current resource usage as well as any additional resource usage if a scaling policy is attached to the virtual machine instance based on the cost for running virtual machine instances in a public cloud. If the cost is less than a threshold cost, then the virtual machine instance is selected to be migrated to the public cloud.

Abstract: A method, system and computer program product for selecting virtual machines to be migrated to a public cloud. The current resource usage for virtual machine instances running in the private cloud is determined. Furthermore, any scaling policies attached to the virtual machine instances running in the private cloud are obtained. Additional resource usages for any of the virtual machine instances with a scaling policy are computed for when these virtual machine instances are scaled out. A cost of running a virtual machine instance in the public cloud is then determined using its current resource usage as well as any additional resource usage if a scaling policy is attached to the virtual machine instance based on the cost for running virtual machine instances in a public cloud. If the cost is less than a threshold cost, then the virtual machine instance is selected to be migrated to the public cloud.

Abstract: A computer-implemented method for deploying a plurality of data conversion flow between a first application in a first system to a second application in a second system, without restarting the plurality of data conversation flow, is provided. The computer-implemented method may further include providing a plurality of modifiable data conversation that identifies a plurality of input parameters, a plurality of data formats, a plurality of data description, a plurality of conversation routines, a plurality of paths of the conversion routines, and a plurality of output information that determines routes of converted data for the first application. The computer-implemented method may further include converting the plurality of modifiable data conversion to form a data input from the first application to the second application.

Abstract: A method, system and computer program product for optimizing runtime performance of an application workload. Network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing the application workload in a private cloud are measured over a period of time and depicted in a histogram. A score is generated for each virtual machine or group of virtual machines in the pattern of virtual machines based on which range in the ranges of I/O operations per seconds (IOPS) depicted in the histogram has the largest sample size and the number of virtual machines in the same pattern that are allowed to be in the public cloud. In this manner, the runtime performance of the application workload is improved by minimizing the network input/output communications between the two cloud environments by migrating those virtual machine(s) or group(s) of virtual machines with a score that exceeds a threshold value.

Abstract: This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for controlling a display screen brightness level for an electronic device. In one embodiment, the electronic device receives a plurality of ambient light levels from a plurality of light sensors. At least a first ambient light level is received from a wearable device separate from the first device. The electronic device determines an aggregate ambient light level based, at least in part, on the plurality of ambient light levels. The electronic device adjusts a display screen brightness level of a display in the first device based, at least in part, on the aggregate ambient light level.

Abstract: A management system receives inputs over a period of time from outputs of one or more sensors placed within a proximity to a service area, the one or more sensors for detecting at least one of at least one weight and at least one sound. The management system dynamically estimating, based on a rate of a percentage of change of the at least one weight over the period of time and types of sounds of the at least one sound for the service area, one or more wait times until a completion of use of the service area. The management system dynamically generating one or more wait time estimates in real time for the service area based on the one or more wait times and a current number of users waiting in a queue for the service area.

Abstract: A method and a system are provided to manage analytics assets associated with at least one computer accessible to an organization using operating system (OS) containers. The method comprising receiving a request to process of a task on the user computing device. The method further select a set of analytics assets from a first category, based on at least one of a role of the user in the organization and a historical usage of the one or more analytics assets or a second category that corresponds to the user and are included in the container image associated with the user. The method further update the container image of the user, based on at least the selection of the set of analytics assets from the first category. The method further render the selected set of analytics assets through the updated container image on the user computing device of the user.

Abstract: A method, system and computer program product for optimizing runtime performance of an application workload. Network input/output (I/O) operations between virtual machines of a pattern of virtual machines servicing the application workload in a private cloud are measured over a period of time and depicted in a histogram. A score is generated for each virtual machine or group of virtual machines in the pattern of virtual machines based on which range in the ranges of I/O operations per seconds (IOPS) depicted in the histogram has the largest sample size and the number of virtual machines in the same pattern that are allowed to be in the public cloud. In this manner, the runtime performance of the application workload is improved by minimizing the network input/output communications between the two cloud environments by migrating those virtual machine(s) or group(s) of virtual machines with a score that exceeds a threshold value.

Abstract: A management system receives inputs over a period of time from outputs of one or more sensors placed within a proximity to a service area, the one or more sensors for detecting at least one of at least one weight and at least one sound. The management system dynamically estimating, based on a rate of a percentage of change of the at least one weight over the period of time and types of sounds of the at least one sound for the service area, one or more wait times until a completion of use of the service area. The management system dynamically generating one or more wait time estimates in real time for a particular user requesting a particular service area size met by a current service area size of the service area based on the one or more wait times and a current number of other users waiting for the particular service area size.

Abstract: Mechanisms are provided for scheduling execution of pre-execution operations of an annotator of a question and answer (QA) system pipeline. A model is used to represent a system of annotators of the QA system pipeline, where the model represents each annotator as a node having one or more performance parameters indicating a performance of an execution of an annotator corresponding to the node. For each annotator in a set of annotators of the system of annotators, an effective response time for the annotator is calculated based on the performance parameters. A pre-execution start interval for a first annotator based on an effective response time of a second annotator is calculated where execution of the first annotator is sequentially after execution of the second annotator. Execution of pre-execution operations associated with the first annotator is scheduled based on the calculated pre-execution start interval for the first annotator.

Abstract: This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for controlling a display screen brightness level for an electronic device. In one embodiment, the electronic device receives a plurality of ambient light levels from a plurality of light sensors. At least a first ambient light level is received from a wearable device separate from the first device. The electronic device determines an aggregate ambient light level based, at least in part, on the plurality of ambient light levels. The electronic device adjusts a display screen brightness level of a display in the first device based, at least in part, on the aggregate ambient light level.

Abstract: Mechanisms are provided for scheduling execution of pre-execution operations of an annotator of a question and answer (QA) system pipeline. A model is used to represent a system of annotators of the QA system pipeline, where the model represents each annotator as a node having one or more performance parameters indicating a performance of an execution of an annotator corresponding to the node. For each annotator in a set of annotators of the system of annotators, an effective response time for the annotator is calculated based on the performance parameters. A pre-execution start interval for a first annotator based on an effective response time of a second annotator is calculated where execution of the first annotator is sequentially after execution of the second annotator. Execution of pre-execution operations associated with the first annotator is scheduled based on the calculated pre-execution start interval for the first annotator.

Abstract: This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for controlling a display screen brightness level for an electronic device. In one embodiment, the electronic device determines a first ambient light level and associates the first ambient light level with a first priority weight value. The electronic device further determines a second ambient light level and associates the second ambient light level with a second priority weight value. A display controller within the electronic device sets the display screen brightness level based, at least in part, on the first ambient light level, the second ambient light level, and at least one of the first and second priority weight values.

Abstract: A processor-implemented method, system, and/or computer program product sorts and displays product reviews of ecommerce products. One or more processor(s) receive product reviews for different types of ecommerce products from product reviewers. Reviewer profiles of the product reviewers, a biometric reading for a user from a biometric sensor, and a geophysical location reading for the user from a geophysical sensor are received. The biometric reading and the geophysical location reading are utilized to define a user profile of the user. The user profile is matched to a specific reviewer profile of a specific product reviewer from the product reviewers. The product reviews are sorted according to the different types of ecommerce products and the specific reviewer profile, visually modified based on the defined user profile, then displayed on an ecommerce webpage.

Abstract: A processor-implemented method, system, and/or computer program product sorts and displays product reviews of ecommerce products. A system receives product reviews for ecommerce products. The product reviews are displayed on an ecommerce webpage, are generated by product reviewers, and are for different types of products. Reviewer profiles of the product reviewers are received. The reviewer profiles include characteristics of the product reviewers that affect usage of one or more of the different types of products. A user profile for a user is received. The user profile includes characteristics of the user that affect usage of one or more of the different types of products. The user profile is matched to a specific reviewer profile from the reviewer profiles. The product reviews are sorted according to the different types of products and the specific reviewer profile. The sorted product reviews are then displayed on the ecommerce webpage.