A client-side system can include a service proxy that can receive a request to perform a computing operation from a web application that is executable in a web browser of the client-side system. The service proxy can determine if the computing operation is executable by a local execution module that is external to the web browser and local to the client-side system. The local execution module may be different from the web application and may be configured to execute one or more computing operations using computing resources local to the client-side system. If the computing operation is executable by a local execution module, the service proxy can transmit a communication to the local execution module for causing the local execution module to execute the computing operation.

Various embodiments of the present disclosure provide methods, apparatuses, systems, computing devices, computing entities, and/or the like for determining optimized solutions to input problems in a containerized, cloud-based (e.g., serverless) manner. In one embodiment, an example method is provided. The method comprises: receiving a problem type of an input problem originating from a client computing entity; mapping the problem type to one or more selected solver types; generating one or more container instances of one or more compute containers, each compute container corresponding to a selected solver type; generating a problem output using the one or more container instances; and providing the problem output comprising a solution to the input problem to the client computing entity. In various embodiments, optimized solutions for input problems are determined using a cloud-based multi-domain solver system configured to dynamically allocate computing and processing resources between different solution-determining tasks.

Methods, systems, devices, and tangible non-transitory computer readable media for resource provisioning based on risk scores. The disclosed technology can include accessing resource request data including information associated with a request for a resource from an entity associated with an organization. Organizational data associated with the entity can be accessed. The organizational data can include information associated with risk factors and previous resource allocations of the entity. Based on performance of risk evaluation operations on the organizational data, a risk score associated with provisioning the resource to the entity can be determined. A resource provisioning amount can be determined based on the risk score. The resource provisioning amount can include an amount of the resource authorized to be provisioned to the entity. Furthermore, output including indications associated with the resource provisioning amount can be generated.

Disclosed embodiments relate to controlling sets of graphics work (e.g., kicks) assigned to graphics processor circuitry. In some embodiments, tracking slot circuitry implements entries for multiple tracking slots. Slot manager circuitry may store, using an entry of the tracking slot circuitry, software-specified information for a set of graphics work, where the information includes: type of work, dependencies on other sets of graphics work, and location of data for the set of graphics work. The slot manager circuitry may prefetch, from the location and prior to allocating shader core resources for the set of graphics work, configuration register data for the set of graphics work. Control circuitry may program configuration registers for the set of graphics work using the prefetched data and initiate processing of the set of graphics work by the graphics processor circuitry according to the dependencies. Disclosed techniques may reduce kick-to-kick transition time, in some embodiments.

Allocating processing activities among multiple computing devices can include identifying multiple computing activities of a computer-executable process and, for each computing activity identified, estimating in real time the computing resources needed. The identifying can be in response to detecting a computer-executable instruction executed by one multiple communicatively coupled computing devices, and the computer-executable instruction can be associate with the computer-executable process. A current condition and configuration of each of the computing devices can be determined in real time. For each computing device an effect induced by executing one or more of the plurality of activities can be predicted, the predicting based each computing device's current condition and configuration and performed by a machine learning model trained using data collected from prior real-time processing of example process activities. Based on the predicting, computing activities can be allocated in real time among the computing devices.

Various techniques for emulating edge locations in cloud-based networks are described. An example method includes generating an emulated edge location in a region. The emulated edge location can include one or more first computing resources in the region. A host in the region may launch a virtualized resource a portion of the one or more first computing resources. Output data that was output by the virtualized resource in response to input data can be received and reported to a user device, which may provide a request to migrate the virtualized resource to a non-emulated edge location. The non-emulated edge location may include one or more second computing resources that are connected to the region by an intermediary network. The virtualized resource can be migrated from the first computing resources to at least one second computing resource in the non-emulated edge location.

A master electronic apparatus, an electronic apparatus, and a controlling method thereof where the master electronic apparatus includes a communication interface and a processor. The processor receives first data and second data regarding predicted power consumption amounts corresponding to respective tasks of a first electronic apparatus and a second electronic apparatus, calculates summed-up values of the predicted power consumption amounts for respective times, and compares the summed-up values with instantaneous power amount limits for the respective times. The processor, based on the summed-up values being smaller than the instantaneous power amount limits, transmits a task approval signal to the second electronic apparatus, and based on identifying a time a summed-up value is greater than or equal to the instantaneous power amount limit, transmits a control signal controlling an operation in the identified time to at least one of the first electronic apparatus and the second electronic apparatus based on priorities.

Systems and methods provide for execution of different provisioning engines within a resource provider environment. A user may submit a request to provision one or more resources using a particular provisioning engine, which may include a provisioning engine that is non-native to the resource provider environment. A control plane may evaluate and transmit requests to the provisioning engine executing within the resource provider environment. Operations associated with the provisioning engine may be executed and stored within a data store, which may be processed upon completion and made accessible.

A data model characterizing a plurality of resources is received. The data model associates a first resource within a first remote computing environment with a first tag and a second resource within a second remote computing environment with a second tag. The data model is received from a database that is separate from the first remote computing environment and the second remote computing environment. The plurality of resources is grouped based on the first tag and the second tag. The grouping can form a first group associated with the first tag and a second group associated with the second tag. A first list of resources characterizing the first group and a second list of resources characterizing the second group is provided. Related apparatus, systems, techniques and articles are also described.

A method, computer program and apparatus is disclosed. The method, performed by one or more processors, may comprise receiving, from one or more predetermined organizations, datasets representing entities and datasets representing one or more tasks for those entities and storing in a database, in accordance with an ontology which is common to the organizations, the received one or more datasets as data objects, the ontology defining properties of data objects and relationships between the data objects. The method may also comprise mapping the data objects stored in the database to the organization from which the one or more datasets were received and receiving, through a querying application, a query from a user of one of the predetermined organizations to view one or more data objects relating to a task. The method may also comprise identifying the organization to which the user is associated, generating, based on the mapping, a view including at least the one or more task data objects associated with the identified organization and not data objects associated with other organizations and displaying the view on a user interface.