34 results about "Application profile" patented technology

Various approaches for Multi-access Edge Computing (MEC) Dual Edge App Registration, including registration performed on behalf of edge computing platforms operating as dual deployments in a MEC and 3GPP infrastructure, are discussed. An example first computing platform may be communicatively coupled, via a network, to a second computing platform, and perform operations that: receive a dual application registration request from an application of the first computing platform; map a first application profile of the application at the first computing platform to a second application profile at the second computing platform; redirect the dual application registration request to the second computing platform; receive, in response to the redirect of the dual application registration request, an application registration acknowledgment; and provide, to the application, the application registration acknowledgment.

Provided herein are methods and systems for detecting, evaluating, and mitigating conflicts in an open radio access network (open RAN) including a profiler for generating an application profile for each of a plurality of applications deployable on the open RAN by simulating a behavior of each application with respect to a corresponding parameter set under a predefined plurality of operational condition sets, a conflict detection component configured to determine a predicted existence of a conflict between a requested application and one or more currently instantiated applications, a conflict evaluation component configured to determine a predicted frequency and a predicted severity of the conflict, and a conflict mitigation component configured to develop a conflict mitigation scheme and, according to the conflict mitigation scheme, at least one of block instantiation of the requested application, instantiate the requested application, or uninstantiate at least one of the currently instantiated applications.

Methods and systems are described for predicting application performance on a hardware system, without the need for physical testing or use of the subject hardware. This can be done with a set of profiling and analysis tools. In some embodiments an Application Profiling Tool can receive information about the possible hardware architectures that an application source code supports, application and user requirements, configurations, parameters, and / or application specific libraries. Information about common libraries can be stored and retrieved from a database. The results provided by the Application Profiling Tool can comprise representations of the code together with other derived metadata based on the inputs. The performance metadata can then be used directly or later (and possibly, in a different location) to estimate the WCET for a specified hardware and architecture.

The invention relates to computer security, and specifically to a method and system for creating and storing a time-based graph of all application behaviors in an enterprise or organization. For example, according to one aspect, multiple application behavioral metric definitions are expressed for expected application interactions and state on a temporal basis, these metrics are each part of a behavior that needs to be evaluated individually or in combination with other metrics. At least some of the behavioral metrics are expressed based on an association with an application profile or common entity. The Temporal Profile Graph make associating and lookup of application behaviors efficient and cheap on compute and memory requirements. The graph node relationship is built using a time-based key that enables quick association of all application behavior metrics to a specific period in time within the enterprise or organization operating environment.

Computer-implemented method comprising: under the control of one or more computer systems configured with executable instructions, Specifying a group of application programs associated with a user identity; Obtaining a set of application program profiles by retrieving an application program profile for each application program in the set of application programs, wherein the application program profile describes for each application program a set of computing resource requirements for executing the corresponding application program; Creating a virtual machine profile based at least in part on merging the computing resource requirements described by the group of application program profiles, wherein the merging of the computing resource requirements is based at least in part on determining whether the group of application programs should be executed concurrently or sequentially; Creating a virtual machine with a configuration of computing resources that meets the virtual machine profile; Installing the set of application programs on the virtual machine; Starting at least one application from the group of application programs; and Causing a streaming connection to be established between the virtual machine and a client computer system, the streaming connection transmitting encoded display information from the virtual machine to the client computer system.

A method is presented which enables a controlled mechanism of applying the required set of settings, e.g., for cloud-based network infrastructure, by means of “profiles”. Infrastructure Management Service (IMS) applies one or more of Compute profile, Networking profile, Storage profile, Accelerator profile, and Application (“App”) profile to cloud infrastructure. The following set of procedures are defined to achieve the profile-based infrastructure management: a) profile definition; b) cloud-infrastructure-preparation based on profile(s); c) cloud audit and monitoring; and d) cloud preparation based on capability. Applying of a profile can involve one or more of: updating the BIOS settings, e.g., using Intelligent Platform Management Interface (IPMI) commands; updating the GRUB settings; updating the system / kernel parameters; updating interfaces (e.g., alias, bonding, etc.); creating required resources (e.g., virtual functions (VFs) and corresponding bindings); creating resource maps to be used by plug-ins; and running any scripts for custom needs of the RAN application.

Methods, systems, and machine-readable mediums that enhance transaction authentication of a transaction of a first application by checking that a state of one or more other applications matches prespecified states or that one or more of those applications transition states within a prespecified period of time. For example, the prespecified states may correspond to the application being installed on a specified device (e.g., of the user) and having an authenticated session with a specified user.

A processor may receive at least one test application corresponding to an application profile. The processor may simulate the at least one test application in a non-production environment for a plurality of infrastructure configurations to generate a plurality of test performance results. The processor may evaluate the plurality of test performance results to identify an optimal infrastructure configuration from among the plurality of infrastructure configurations for the application profile. The processor may apply the optimal infrastructure configuration to an application corresponding to the application profile that is deployed in a production environment.

The invention relates to computer security, and specifically to a method and system for creating and storing a time-based graph of all application behaviors in an enterprise or organization. For example, according to one aspect, multiple application behavioral metric definitions are expressed for expected application interactions and state on a temporal basis, these metrics are each part of a behavior that needs to be evaluated individually or in combination with other metrics. At least some of the behavioral metrics are expressed based on an association with an application profile or common entity. The Temporal Profile Graph make associating and lookup of application behaviors efficient and cheap on compute and memory requirements. The graph node relationship is built using a time-based key that enables quick association of all application behavior metrics to a specific period in time within the enterprise or organization operating environment.

A current resource utilization value of a computing resource used by an application executing on a computing device is accessed, the current resource utilization value quantifying a utilization of the computing resource, the application having a priority application designation and being one of a plurality of applications executing on the computing device, at least one of the plurality of applications lacking the priority application designation. An application profile that identifies a resource utilization trigger condition that corresponds to the computing resource is accessed. It is determined, based on the current resource utilization value of the computing resource and the resource utilization trigger condition that corresponds to the computing resource, that the application is in a non-preferred state. In response to determining that the application is in the non-preferred state, an additional quantity of the computing resource is caused to be available to the application.

The disclosed technique incudes a method for dynamically selecting an algorithm that predicts usage of a mobile application based on network signals. In one example, an application profile includes known network signals and designates a best predictive algorithm. When network signals of user devices are subsequently captured, the best algorithms of sufficiently matching profiles are used to estimate application usage. As such, for example, the popularity of a particular application or relationships among applications can be determined for managing the network or for commercial purposes.

[Problem] To provide a network switching method in a communication terminal that enables quick network switching by performing a registration process of terminal information to a network without rejection by the network. [Solution] A network switching method in a communication terminal that comprises an embedded SIM (eSIM) which stores a plurality of pieces of profile information for use in communication, a local profile assistant (LPA) application and a modem control unit that receives a profile switching request from the LPA application, that performs switching of the plurality of pieces of profile information stored in the eSIM, that notifies the LPA application of the completion of the profile switching, and that performs a terminal information registration process with respect to an external network, said network switching method being characterized in that: prior to or simultaneously with output of the profile switching request, the LPA application notifies the modem control unit of access point name (APN) information corresponding to the profile information after the switching; and the modem control unit performs the terminal information registration process with respect to the external network using the received APN information after the profile switching.

Provided are computer-implemented methods for authenticating a mobile device based on a real-time mobile device application profile which may include generating, with a mobile device application on a mobile device, a real-time mobile device application profile associated with the mobile device, receiving the mobile device application profile by the mobile device; and determining whether there is an anomaly between the real-time mobile device application profile and a historical mobile device application profile associated with the mobile device. The methods may also include performing a remedial action associated with a transaction based on determining that there is an anomaly between the real-time mobile device application profile and the historical mobile device application profile. Systems and computer program products are also provided.

A method, apparatus, and system for social networking is provided. In an embodiment, the system comprises a plurality of mobile devices that can connect to each other over a network. These devices generate user profiles based on individual attributes. The devices can additionally connect to a server. This server maintains a profile schema and a template application. The profile schema and template application can be used to generate profiles for users for each of the mobile devices. Furthermore, the system facilitates social networking functionalities within specific service areas, enabling devices to determine a conceptual distance with others and provide services over the network based on this distance.

The invention relates to the technical field of computers, and discloses an automatic recovery system and method for a computer operating system, and the system comprises a fault detection module which is used for monitoring a hardware self-detection state, an operating system loading state and a key drive program initialization state in a computer starting process, and generating a fault signal when a fault is detected; the recovery module is used for starting an automatic recovery process in response to the fault signal; the recovery partition is arranged in a local built-in nonvolatile storage device of the computer and is used for storing a system mirror image file, a driving program and an application program configuration file; and the recovery execution module is called and executed by the recovery module after the automatic recovery process is triggered, and is used for reading the mirror image file from the recovery partition according to the recovery instruction and executing write-in recovery operation on the system partition of the system disk without covering the user data partition existing in the system disk. According to the method, automation of the fault recovery process of the computer operating system is realized, and autonomy and service continuity are improved.

The disclosed technique incudes a method for dynamically selecting an algorithm that predicts usage of a mobile application based on network signals. In one example, an application profile includes known network signals and designates a best predictive algorithm. When network signals of user devices are subsequently captured, the best algorithms of sufficiently matching profiles are used to estimate application usage. As such, for example, the popularity of a particular application or relationships among applications can be determined for managing the network or for commercial purposes.

Techniques are described for enabling selective activation and deactivation of a dynamically allocated subset of a shader engine (160) based on configuration file information (210), such as based on an application, and / or based on an active system power configuration (230). Instructions for execution are received from an application associated with the first application profile. A number of activated shader engines of the plurality of shader engines is modified based on the application profile. The number of activated shader engines is further modified in response to receiving additional instructions from the second application and / or receiving one or more indications of a modified active system power configuration.

Receive a first electronics control unit (ECU) profile, the first ECU profile comprising a first set of services. Switch execution, on an ECU, by a processing device, to the first ECU profile from a second ECU profile, the second ECU profile comprising a second set of services, wherein an intersection of the first set of services and the second set of services comprises a third set of services. Start, on the ECU, a set of services included in the first ECU profile and not included in the third set of services.

Disclosed herein are system, apparatus, article of manufacture, method and / or computer program product aspects, and / or combinations and sub-combinations thereof, for reducing prompt-based interruptions for a user of a media device having an operating system (OS). An example aspect operates by configuring a user interface (UI) of an OS based on a first-user OS profile corresponding to a first user, wherein the first-user OS profile is associated with a unique identifier of the first user. The embodiment receives a command to launch a first application. The embodiment, in response to receiving the command, determines that a unique identifier of a most recent active profile used on the media device matches the unique identifier of the first user. The embodiment, in response to the determining, configures a UI of the first application based on the most recent active profile. The embodiment then outputs the UI of the first application.

The present disclosure provides techniques for flow classification service (SCS) policy verification for downlink and uplink traffic. A network device receives an SCS request from an associated STA, the SCS request specifying one or more sets of traffic class (TCLAS) information for a data stream transmitted between the network device and the STA, each set of TCLAS information carrying associated QoS profile information for the data stream. The network device compares these TCLAS information and associated QoS profile information to one or more cached application profiles and determines that there is no match. In response to the determination, the network device performs packet analysis and confirms that the TCLAS information and the associated QoS profile information are consistent with the service type of the data flow under a defined network policy. In response to the acknowledgement, the network device applies one or more processes to the data stream.

A processor may receive at least one test application corresponding to an application profile. The processor may simulate the at least one test application in a non-production environment for a plurality of infrastructure configurations to generate a plurality of test performance results. The processor may evaluate the plurality of test performance results to identify an optimal infrastructure configuration from among the plurality of infrastructure configurations for the application profile. The processor may apply the optimal infrastructure configuration to an application corresponding to the application profile that is deployed in a production environment.

The embodiment of the invention provides a neural network model task processing method and device, a storage medium and a program, and the method comprises the steps that a FaaS system obtains a target application program code and a target application program configuration file, the target application program configuration file comprises a storage address of the neural network model called in the target application program code in the remote storage space. And determining a first cloud server in a cloud server cluster used for deploying the application program, and loading the neural network model from the remote storage space to a shared storage space created in the first cloud server. And for a task processing request of the target application program code, creating a task processing instance corresponding to the task processing request in the first cloud server, so that the task processing instance loads the neural network model from the shared storage space, and performs task processing based on the neural network model. Through the scheme, the model loading time and the required bandwidth can be reduced, and the task processing request can be responded in time.

A non-transitory computer readable medium, a system, and a method for displaying a cloud access security broker (CASB) configuration window are disclosed. In an embodiment, the non-transitory computer readable medium includes instructions to be executed in a computer system, where the instructions when executed in the computer system perform a method comprising displaying a CASB configuration window, and displaying a CASB profile control menu within the CASB configuration window, where the CASB profile control menu includes a plurality of spatially grouped sets that include an application access controller, an application identifier, and selectable CASB activity action icons that indicate to a user whether a corresponding CASB activity action is included in an application profile of a CASB profile.

A system for integrating real-world interactions within a virtual environment comprises a processor associated with a server. The processor receives a request with a first user data from a user device to conduct a first interaction in a real-world environment. The processor processes a user profile and the first user data to generate a virtual meeting area with an entity avatar associated with an entity device. The processor sends a first mobile deep link to the user device to grant access to the virtual meeting area. The processor conducts a second interaction between the user device and the entity avatar in the virtual meeting area and obtains a second user data from the user device. The processor processes the user profile and the second user data to generate contextual objects on a display of the user device. The processor renders the contextual objects into an application profile.

Systems and methods for increasing a false positive identification rate of a face recognition algorithm are provided. A method includes using a first image sensor, acquiring image data for a first facial image of a person and selecting an application profile for the first facial image. The application profile is selected to modify the image data to alter a value of an image classification feature used by a face recognition algorithm to increase a false positive identification rate of the face recognition algorithm that is configured to match an input facial image with at least one of N stored facial images. The method further includes, modifying an aspect associated with the face of the person, such that a second facial image of the face, when acquired by a second image sensor subsequent to the modification of the aspect, is different from the first facial image.

A system and method for improving program performance and reducing program cost by automatically providing and managing an appropriate memory pool cell size adapted to each executing application. The data is processed using a corresponding time series prediction model by collecting a time series of historical data for use with respect to a memory pool of an application over a period of time to predict a size of assignments for the application, and in particular, a predicted number of assignments and a corresponding predicted assignment unit size. A clustering-based approach is further applied to predict the size of an allocation of an application, using real-time execution for scaling, supplementation, and interpolation. A method runs another timing prediction model trained to predict adjustment parameters to refine a memory pool storage area size for processing a memory allocation request based on a predicted size of a memory unit and one or more application profile features associated with a requested application.

Techniques are described for implementing selective activation and deactivation of a dynamically allocated subset of shader engines, such as based on application-based profile information and / or on an active system power configuration. Instructions for execution are received from an application associated with a first application profile. Based on the application profile, a quantity of activated shader engines in a plurality of shader engines is modified. The quantity of activated shader engines is further modified responsive to receiving additional instructions from a second application, and / or to receiving one or more indications of an altered active system power configuration.

The application discloses a kind of applied configuration file updating method, device and server provided by the present disclosure, it is related to computer technology, comprising: obtaining configuration file updating instruction, configuration file updating instruction includes the identification number of target application;If it is determined that the identification number of target application matches preset application registry, then according to the identification number of target application, and preset configuration table, at least one target variable that the configuration file of target application needs to update is determined, and the value of each target variable;The mapping relationship between the identification number of application, the unit identification number to which the application belongs, the variable name of variable and the value of variable is included in preset configuration table;Unit identification number corresponds at least one identification number of application;According to at least one target variable, and the value of each target variable, update the configuration file of target application.This scheme can utilize preset configuration table, automatically update the configuration file of each application belonging to different units, high efficiency and not prone to error.

The application relates to an application program downloading method and device, a computer device, a computer readable storage medium and a computer program product. The method comprises the following steps: an application program configuration list request message is sent to an eMMTel enabling server, a first information element table is carried in the application program configuration list request message, a first information element is included in the first information element table, and the first information element is used for carrying an application program identifier of a target application program; an application program configuration file list response message fed back by the eMMTel enabling server in response to the application program configuration list request message is received, a second information element table is carried in the application program configuration file list response message, an application program configuration file list is included in the second information element table, and the application program configuration file list is determined based on the first information element. The application program downloading efficiency can be improved by using the method.