Abstract: An approach is provided for generating a secure, cloud-based data collection tool for collecting data from computer resources of a target system. In an embodiment, the method comprises: receiving a request to perform a data collection on one or more target computer resources; based on the request, generating a customization specification; and transmitting the customization specification to a deployment engine to cause the deployment engine to: based on the customization specification, generate the customized collector that is specific to the data collection, and storing the customized collector at a particular location in a cloud storage; generate, and transmit to a custodian, a first notification that includes the particular location; generate a unique deployment key that is specific to the customized collector; generate a second notification that includes the unique deployment key; and transmit the second notification to the custodian separately from transmitting the first notification.

Abstract: A system and method for negotiating between a business intelligence application and one or more data sources. Business data from devices is received, identified and stored using a data meta model that is updated as devices and the hospital environment change. The data meta model allows the business intelligence application to negotiate with the hospital data sources to access relevant data for evaluations. The data meta model includes an object model that is configurable, updatable, adaptable, and evolvable over time.

Abstract: A method for generating code assistance information comprises: obtaining input status information corresponding to a program development process, wherein the input status information comprises input content information and input language environment information; obtaining a preset grammar rule corresponding to the input status information, wherein the preset grammar rule stores an association relationship between different statement information, and different input status information corresponds to different preset grammar rules; and generating code assistance information corresponding to the input content information according to the input content information and the preset grammar rule corresponding to the input status information.

Abstract: Disclosed herein are methods, systems, and apparatus, including computer programs encoded on computer storage media, for performing allocating M resources subject to L constraints. The method includes: receiving data representing L constraints, wherein each of the L constraints corresponds to a subset of M resources and restricts a respective maximum number C of resources to be selected among the subset of the M resources, wherein the L constraints has a hierarchal structure; determining a topological ordering of the L constraints; selecting all the M resources as an initial selection; removing resources from the initial selection by traversing each constraint in the topological ordering of the L constraints; and allocating the selected resources after traversing all the L constraints in the topological ordering of the L constraints.

Abstract: The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.

Abstract: Systems and methods are provided for the generation of a consolidated data repository report in order to visualize a consolidated and holistic view of the work for an entire organization. Such consolidated data reports may be transformed and modified to further enhance the visual and readability aspects of the report.

Abstract: A method and apparatus of a device that measures performance of a plurality of cloud service providers is described. In an exemplary embodiment, the device deploys a plurality of cloud agents to the plurality of cloud service providers. In addition, the device configures a controller to measure the performance of each of the plurality of cloud service providers using each plurality of cloud agents. The device further probes each of the plurality of cloud service providers by sending probe data to each of the plurality of cloud service providers. The device additionally receives response data from each of plurality of cloud agents, wherein the response data is indicative of performance measurements of the plurality of cloud service providers. Furthermore, the device measures the performance for each of the plurality of cloud service providers using the response data.

Abstract: Methods, apparatus, systems, storage media, etc., to fuse online media monitoring data with secondary online data feeds to generate ratings data for online media exposure are disclosed. Example methods disclosed herein to determine ratings data for online media exposure include accessing timestamps included in monitoring data obtained by monitoring exposure to online media. Such example methods also include searching a secondary online data feed using the timestamps included in the monitoring data for data entries associated with exposure to the online media. Such example methods further include fusing the data entries from the secondary online data feed with the monitoring data to generate the ratings data for online media exposure.

Abstract: Techniques are described to automate deployment of an application as a cloud computing service. Such deployment may be accomplished on any underlying host infrastructure. As mentioned above, a typical application may engage in a number of build and deployment processes in order to run on a host computer with an infrastructure type. The techniques described herein may leverage an artificial intelligence computation library to identify which build and deployment processes are required by the application. Once identified, the user may select a host infrastructure type and create a container package with a runtime machine and components configure to run these build and deployment processes for that host infrastructure type. The container package may be used to generate an image from which the host computer can run the application as the cloud computing service. Other embodiments are described and claimed.

Abstract: Customization objects stored in a mobile database may be used to customize webpages and applications rendered in, or executed by a mobile application implemented by a mobile device. Upon authenticating the mobile application, a service provider may determine whether any customization objects have been updated since a previous authentication of the mobile application, and may update the mobile database with the updated customization objects. This way, the mobile device does not have to obtain customization objects from remote storage of the service provider each time a webpage is requested thereby reducing signaling overhead and decreasing webpage rendering time.

Abstract: A method includes obtaining feature generation code from, which is configured to determine features relating to input data. The method further includes obtaining data grouping code, which is configured to generate training data by determining a plurality of data groupings for the features relating to the input data. The method further includes obtaining modeling code, which is derived at least in part by applying one or more machine learning algorithms to the training data. The method further includes applying a model wrapper code to the feature generation code, the data grouping code, and the modeling code to generate a model wrapper and deploying the model wrapper such that the model wrapper may receive a first application programming interface (API) call including an input data value, determine a score relating to the input data value, and send a second API call including the score in response to the first API call.

Abstract: A technique of processing insurance-related address information includes receiving a starting address specification. It further includes determining a geocode location that is associated with the starting address specification. It further includes providing display information associated with the geocode. It further includes receiving updated address information that is generated within a display of the display information. It further includes determining a reverse geocode associated with the updated address information.

Abstract: In a workload data, a pattern of usage of an aspect of a product is detected in a production system. The pattern is apportioned into a portion. When a test has a characterization that corresponds to the portion within a tolerance, the test is configured in a test bucket. The product is caused to be tested using the test bucket, the test bucket including a set of tests such that the set of tests collectively correspond to the pattern within the tolerance.

Abstract: System and method for deploying a processing component of a computing infrastructure in a computing environment with host computers use an annotated command object that includes an identifier, at least one requirement and a command to deploy the processing component. When the annotated command object is processed, the at least one requirement of the annotated command object is satisfied, which includes processing another annotated command object to deploy at least one of a required processing component and a required feature of a particular processing component. The command of the annotated command object is executed to deploy the processing component in the computing environment.

Abstract: A blockchain of transactions may be referenced for various purposes and may be later accessed by interested parties for ledger verification and information retrieval. One example method of operation may include one or more of storing original data in a blockchain, storing transformed data based on the original data in the blockchain, storing chaincode on the blockchain used to transform the original data to the transformed data, and retrieving a transaction from the blockchain with the transformed data and the chaincode.

Abstract: Technologies for monitoring service level agreement (SLA) performance in an end-to-end SLA monitoring architecture include a network functions virtualization (NFV) SLA controller configured to manage SLA agents initialized in various network processing components of the end-to-end SLA monitoring architecture. To do so, the NFV SLA controller is configured to provide instruction to the SLA agents indicating which types of telemetry data to monitor and receive the requested telemetry data, as securely collected and securely packaged by the SLA agents. The NFV SLA controller is further configured to securely analyze the received telemetry data to determine one or more performance metrics and compare performance benchmarks against the performance metrics to generate an SLA report that includes the results of the comparison. Other embodiments are described and claimed.

Abstract: An approach to optimizing predictive model analysis, comprising creating one or more model templates, decomposing a predictive model, wherein model information is extracted from the predictive model, storing the model information in the one or more model templates, creating a plurality of sub-models, associated with the predictive model, using the stored model information, sending the plurality of sub-models to a scoring engine, receiving results based on the plurality of sub-models from the scoring engine and generating predictions based on combining the results received from the scoring engine. The generated predictions can be sent to one or more analytic applications for further processing.

Abstract: An event-driven compute service upgrades an execution environment for registered functions of the compute service. Some compute nodes of the service have an updated version of the execution environment and some compute nodes have the old version of the execution environment. As a part of the upgrade process, some functions are executed in both environments. For example, for some invocations of a particular function, the function is executed in the updated execution environment while for other invocations of the same function, the function is executed in the old execution environment. Based on resulting status of the executions, the compute service determines that the particular function is compatible or incompatible with the updated version of the execution environment. The compute service performs subsequent executions of incompatible functions in the old version of the execution environment instead of in the updated version. A client may be notified of the incompatibility.

Abstract: A method for assessing a quality of a plurality of changes to a plurality of source code is provided. The method may include receiving the plurality of source code for a software product, whereby the received plurality of source code includes the plurality of changes. The method may also include identifying at least one property associated with each of the plurality of changes within the received plurality of source code. The method may further include determining a confidence level for each of the plurality of changes based on the at least one identified property associated with each of the plurality of changes and a plurality of historical software build data. The method may also include assigning each of the plurality of changes to a build group based on the determined confidence level. The method may further include executing the build group in a software build.

Abstract: Methods, systems, and apparatus include computer programs encoded on a computer-readable storage medium, including a method for providing content. Data specifying a post-install activity is received from a provider of an application. An opportunity is identified to provide third-party content to a user. A likelihood is determined that the user will perform the specified post-install activity based on one or more attributes of the user and attributes of users that have previously performed the specified post-install activity in the application. A selection value is adjusted for third-party content that identifies the application based on the determined likelihood, wherein the selection value increases as the likelihood increases. The third-party content identifying the application is selected based on the adjusted selection value. The third-party content identifying the application is distributed to a client device of the user.

Abstract: At an Operational Insights and Development Recommendation (OIDR) system, development artifacts from a central artifacts repository are received. At the OIDR system, statistical data from a central data analysis infrastructure is received. The statistical data is retrieved from application systems running software created from the development artifacts, and the statistical data is correlated with the development artifacts. Data insights and recommendations based on the correlated statistical data and development artifacts are provided by the OIDR system to an enhanced integrated development environment (IDE). Recommendations are derived using an analysis algorithm.

Abstract: A method, executed by a computer, for inter-process communication in a multi-tenant environment includes creating an advertisement file for each tenant, determining that a semaphore is greater than zero, searching for a response file, and decrementing the semaphore. Detecting the response file may enable the specific tenant to establish a connection with an attachment process, and as a result, the semaphore may be reset to a value of zero. In one embodiment, a plurality of synchronization files are locked prior to incrementing the semaphore and unlocked in response to detecting the response file. Another method includes counting the targets to provide a target count, incrementing a semaphore to the target count, creating a response file, and establishing a connection with the specific target. A computer program product and computer system corresponding to the methods are also disclosed herein.

Abstract: A method, executed by a computer, for inter-process communication in a multi-tenant environment includes creating an advertisement file for each tenant, determining that a semaphore is greater than zero, searching for a response file, and decrementing the semaphore. Detecting the response file may enable the specific tenant to establish a connection with an attachment process, and as a result, the semaphore may be reset to a value of zero. In one embodiment, a plurality of synchronization files are locked prior to incrementing the semaphore and unlocked in response to detecting the response file. Another method includes counting the targets to provide a target count, incrementing a semaphore to the target count, creating a response file, and establishing a connection with the specific target. A computer program product and computer system corresponding to the methods are also disclosed herein.

Abstract: The techniques disclosed herein provide hosted third-party application experiences within storage service viewers. Users can store a number of files having many different formats (AutoCAD files, word processing documents, spreadsheets, presentation files, and many files having unique formats) at a storage service. Users can view and edit the contents of a wide range of file formats by the use of a Web browser. The storage service can generate a display page that is configured to access viewing and editing tools from one or more remote services. The display page can also provide controls for the storage service, e.g., Dropbox controls, while concurrently providing the viewing and editing controls for select files. The viewing and editing tools can be provided by one or more remote services, such as a website managed by a third-party entity, such as Autodesk, Inc.

Abstract: A method, system and computer program product, the method comprising: initiating a first task executor configured to: initiating a first task executor; determining whether sufficient resources are available for performing a task; detecting whether there are data items from a batch upon which the task is to be executed, wherein the data items are not being handled and not processed; subject to detecting the data items, and determining sufficient resources are available, initiating a second task executor configured as the first; selecting a data item; marking the data item as being handled; processing the data item comprising calling an external function for processing, wherein usage of the external function is priced by a number of calls; and terminating upon any one of the following: receiving an indication that the external function has completed or failed; a predetermined time passed since the data item was transmitted; or multiple task executors exist.

Abstract: The present invention allows clinical trial organizers to operate a platform for creating trial specific custom mobile applications at a price point that would not be possible if the application were created by programmers on a trial-by-trial basis. The invention shortens build time by creating a hierarchy of questions that changes the next question posed to the user based upon their answer to a previous question thereby reducing the number of questions the user must answer while providing the application creation platform with the detailed information relevant to a specific clinical trial. The platform uses a simulation builder that provides a test version of the application to the user mobile device during the application creation process thereby allowing the user to see the layout of the application as they progress through the building process. While building the application, the user can create a simulated version of the application in real time deliver the same to the mobile device of the user.

Abstract: An interface for enabling a computer device to utilize data property-based data placement inside a nonvolatile memory device comprises: executing a software component at an operating system level in the computer device that monitors update statistics of all data item modifications into the nonvolatile memory device, including one or more of update frequencies for each data item, accumulated update and delete frequencies specific to each file type, and an origin of the data item; storing the update statistics of each of the data items and each of the data item types in a database; and intercepting all operations, including create, write, and update, of performed by applications to all the data items, and automatically assigning a data property identifier to each of the data items based on current update statistics in the database, such that the data items and assigned data property identifiers are transmitted over a memory channel to the non-volatile memory device.

Abstract: The present disclosure relates generally to a data integration system that may provide techniques for capturing definitions from business entities and how the business entities are implemented in a set of tables. This enables the data integration system to transform a data flow defined using business entities into code that may be used to transform the underlying tables and columns. Additionally to generate tables, classes and APIs to provide persistence of and manipulation for the definitions of these business entities. Additionally to dynamically generate a GUI editor for an object model of arbitrary complexity while maintaining GUI usability. This reduces development time and supports editing of an arbitrary object model. A dynamically generated GUI may be generated from an object model definition that is received from a user and/or is derived from the user's code.

Abstract: Roughly described, a task control system for managing multi-scale simulations receives a case/task list which identifies cases to be evaluated, at least one task for each of the cases, and dependencies among the tasks. A module allocates available processor cores to at least some of the tasks, constrained by the dependencies, and initiates execution of the tasks on allocated cores. A module, in response to completion of a particular one of the tasks, determines whether or not the result of the task warrants stopping or pruning tasks, and if so, then terminates or prunes one or more of the uncompleted tasks in the case/task list. A module also re-allocates available processor cores to pending not-yet-executing tasks in accordance with time required to complete the tasks and constrained by the dependencies, and initiates execution of the tasks on allocated cores.

Abstract: An approach is provided for social networking-based item installation. A social network platform receives a request from at least one device, a service, or a combination to initiate an installation of at least one item. The platform processes and/or facilitates a processing of information associated with the at least one device, the request, or a combination thereof to determine at least one other device. The service platform then determines to cause, at least in part, an initiation of the installation of the at least one item at the at least one device, the at least one other device, or a combination thereof.

Abstract: In accordance with an embodiment, a system and method provides a messaging service in a multitenant application server environment. Deployable resources are usable within the multitenant application server environment and groupings of resources are defined by resource group templates within a domain. One or more partitions are provided, with each partition providing an administrative and runtime subdivision of the domain that can be associated with a tenant. Java message service (JMS) resources are defined within a resource group template or a resource group, and instantiated within a partition from the one or more partitions to enable messaging for applications deployed within the partition and between the one or more partition.

Abstract: A method and system. A library method stub is created in a predefined programming language by use of a library method signature associated with an original library call, at least one idiom sentence, and a call invoking the original library call. Creating the library method stub includes composing source code of the library method stub by matching the at least one idiom sentence with idiom-stub mappings predefined for each basic idiom of at least one basic idiom. The original library call appears in sequential code. The library method signature specifies formal arguments of the original library call. The at least one idiom sentence summarizes memory operations performed by the original library call on the formal arguments. The created library method stub is stored in a database.

Abstract: A method and a deployment module (110) for managing a container to be deployed on a software platform (120) are disclosed. The container provides a first set of functions. The deployment module (110) obtains (203) the container. The deployment module (110) obtains (204) a list specifying a second set of functions for the container. The deployment module (110) associates (205) the container, based on the list, with the second set of functions. The container, when deployed, provides the first and second set of functions when executed on the software platform (120). A corresponding computer program and a carrier therefor are also disclosed.

Abstract: The invention relates to a method for automatically determining necessary or sufficient cause of a malfunction of a system made up of a plurality of hardware or software components.

Abstract: An agent manager manages and configures a plurality of agents suitable for execution on different types of applications and server platforms. The agent manager may receive a collection of rules for determining how to deploy, manage and maintain different agents. The agent manager may collect data about the agents and a local machine, communicate with and configure the agents, and communicate with remote machines such as a controller. The agent manager may configure the agents based on one or more rules the agent receives, such as for example a set of rules provided by a controller. The agent manager may parse the received rules, identify any agents that need to be installed or uninstalled, installed agents that need to be turned on, off, or restarted, or agents that should be otherwise modified, for example with an update, a plug-in, a feature enabled or disabled, or some other update.

Abstract: In one aspect, a system for exposing application metrics on the fly is disclosed. The system includes a processor; a memory; and one or more modules stored in the memory and executable by a processor to perform various operations. The operations include initialize a Java managed object for Java Management Extension (JMX); attach the initialized Java managed object to a repository for Java managed objects accessible by applications; create a fixed reference to an attributes field in the attached Java managed object; provide the created fixed reference to the repository after initialization of the Java managed object; save the fixed reference; describe an attribute to be created; and create a new attribute in the Java managed object.

Abstract: Systems, computer program products and computer program products for facilitating the dynamic addition and removal of operating system components on computing devices based on application or user interaction over time are disclosed. Such systems, computer program products and computer program products provide one or more API intercept layers, a rules engine and a hydrate engine that facilitates the ability to dynamically rehydrate or hydrate operating system components. In an embodiment, a minimal (or core) operating system image on a computing device is deployed. Then, required components may be dynamically added (i.e., “streamed” or “rehydrated”) from storage, a server or cloud service as required by an executing application program on the computing device. In another embodiment, a totally complete operating system image is deployed on a computing device. Then, unused components may be dynamically removed (i.e., “dehydrated”) from the computing device over time based on application or user interaction.

Abstract: Transaction data is accessed that has been generated from monitoring of a plurality of transactions in a system that includes a plurality of software components. The transaction data is assessed to identify that a particular one of the plurality of transactions meets a particular one of a set of conditions based on an attribute of the particular transaction. A portion of the transaction data describing the particular transaction is selected based on the particular transaction meeting the particular condition. A model of a particular one of the software components involved in the particular transaction is generated using the selected portion of the transaction data. The model is used to launch a computer-implemented simulation of the particular software component within subsequent transactions of the system.

Abstract: An analysis of a mobile app is performed to determine each UI configuration in a set of UI configurations that is reachable in a possible use of the mobile app. A set of elements is detected that is used in the mobile app relative to a selected UI configuration from the set. A function performed by a selected element relative to the selected UI configuration is analyzed and matched with a function identified in a hierarchy of elements. The hierarchy is applicable to several mobile apps. A category of the function identified in the hierarchy is assigned to the selected element. The category and a numerosity of occurrences of the selected element in the mobile app are output in a blueprint of the mobile app.

Abstract: Technologies are described for determining when an updated version of a configuration of a computing resource may be rolled back to a previous version. The computing resource can include code for a function or the computing resource can be used to implement calls of an API. In some cases, the computing resource can be tagged to indicate that rollback functionality is applicable to the computing resource. The rollback to a previous version of code for a function or a previous version of an API may take place based on a rollback condition being satisfied that is related to error rates that take place when updated versions of a function or an API are utilized. The systems and methods described herein may be implemented in conjunction with a cloud-based storage system.

Abstract: The present disclosure relates generally to a data integration system that may dynamically generate a GUI for an object model of arbitrary complexity while maintaining GUI usability. In some embodiments, the dynamically generated GUI may be generated from an object model definition received from a user. In some embodiments, the object model may be derived from the user's code and then the GUI may be dynamically generated based on the derived object model.

Abstract: A mobile app is analyzed to determine each UI configuration in a set of UI configurations that is reachable in a possible use of the mobile app. A set of elements used in the mobile app relative to a selected UI configuration from the set of UI configurations is detected. A function performed by a selected element relative to the selected UI configuration is analyzed. The function is matched with a function identified in a hierarchy of elements, the hierarchy being applicable to a plurality of mobile apps. A category of the function identified in the hierarchy is assigned to the selected element. Using the hierarchy, a type of development skill used in developing the selected element is determined. In a blueprint of the mobile app, the category, the type of the development skill, and a numerosity of occurrences of the selected element in the mobile app are output.

Abstract: A method according to one embodiment includes importing a plurality of resources associated with an entity, receiving, from the entity, a request for an application that performs predetermined functionality, creating a functionality definition, utilizing the request, determining, from the plurality of resources associated with the entity, one or more necessary resources for implementing the functionality definition, constructing the application that performs the predetermined functionality, utilizing the one or more necessary resources, and implementing the application in an environment of the entity.

Abstract: The present disclosure relates to managing service dependencies in a virtual machine-based development environment. An example method generally includes retrieving information identifying one or more service dependencies for a first service hosted by a virtual machine being instantiated in a development environment. For each service dependency of the one or more service dependencies, a service dependency manager identifies whether the service dependency is accessible by the first service in the development environment. Upon determining that the service dependency is not accessible by the first service in the development environment, the service dependency manager spawns an instance of the service dependency and connects the service dependency to the virtual machine hosting the first service. If the service dependency is accessible by the first service in the development environment, the service dependency manager connects the service dependency to the virtual machine hosting the first service.

Abstract: Various embodiments of systems and methods to optimize compilation in distributed software projects via dynamic server cloning are described herein. The described techniques include receiving a compilation request comprising an update of a software product of a distributed software development project. Further, in one aspect, a server node clone is instantiated, e.g., from a resource pool, based on a server template. The server template corresponds to a latest successful compilation of the software product. In another aspect, the update of the software product is incrementally applied on the latest compilation at the server node clone. Once the update of the software product at the server node clone is confirmed as successful, the server template is updated to the build of the software product at the server node clone. The server node clone is subsequently released to the resource pool to free up the consumed resources.

Abstract: A method of contextual activity awareness content selection operates a switch to release a document viewer activation control to a first selector, operate the first selector to select the application location for the application interface, selects document view logs, associated with application location, operates document prioritization logic to calculates average document view rate, calculates an average view rate for each document at the application location, normalizes, weights, and rank average view rates document relevance set, operates a second selector to select matching documents and release to the document viewer, configures the document viewer to prioritize rendering based on document relevance set, operates the switch to release a document view signal to a compiler, in response to a document viewing in the document viewer, and operates the compiler to generate a new document view entry for the document viewing.

Abstract: A method to resolve or prevent a computer system failure is provided. The method may include capturing a plurality of snapshots associated with a computer system installation environment during a plurality of key times. The method may also include measuring each snapshot within the captured plurality of snapshots according to a measure of system health. The method may further include using each measured snapshot to develop a plurality of learned patterns of good and bad software installations. The method may additionally include providing a probability associated with a proposed installation operation based on the developed plurality of learned patterns of good and bad software installations. The method may also include providing at least one installation recommendation in response to a recovery from a system failure, whereby the provided at least one installation recommendation is based on the developed plurality of learned patterns of good and bad software installations.

Abstract: According to an aspect, a content fragment of a legacy model file is mapped via a processor to a plurality of web files. A change to the content fragment of the legacy model file is detected by the processor. One or more modified web files corresponding to the changed content fragment is generated by the processor. The one or more modified web files corresponding to the detected changes in the content fragment of the legacy model file are sent via the processor to a remote computing device.

Abstract: Embodiments describe methods, apparatuses, and systems for performing data analytics on one or more features of software under development. In one exemplary embodiment, a data mining module receives a first set of data including an expected timeline of a plurality of features of program code being developed. The data mining module further retrieves a second set of data from a program testing system based on the first set of data. The second set of data includes defect information and a testing result for each of the plurality of features indicated in the first set of data. Moreover, a data analysis module executed performs an analysis on the first and second sets of data. Based on the analysis, a report generator generates an analysis report that includes an expected defect level and an actual defect level of each of the plurality of features.

Abstract: In an example, a computer-implemented method includes determining, by one or more processors, a server dependency between a first server and a second server of a multi-server system, where determining the server dependency comprises identifying a bilateral communication between the first server and the second server. The method also includes determining, by the one or more processors, for the determined server dependency, an application dependency between a first application executed at the first server and a second application executed at the second server based on first process information associated with the first application and second process information associated with the second application, and generating data that indicates at least one of the determined server dependency and the determined application dependency.