Patent classifications
G06F9/5011
Multimodal inputs for computer-generated reality
Implementations of the subject technology provide determining an operating mode of an electronic device based at least in part on whether the electronic device is communicatively coupled to an associated base device. Based on the determined operating mode, the subject technology identifies a set of input modalities for initiating a recording of content within a field of view of the electronic device. The subject technology monitors sensor information generated by at least one sensor included in, or communicatively coupled to, the electronic device. Further, the subject technology initiates the recording of content within the field of view of the electronic device when the monitored sensor information indicates that at least one of the identified set of input modalities has been triggered.
Cloud resources management
Techniques discussed herein relate to managing service provider resources. The techniques may include receiving a first request to organize a first workload and a second workload into a space. The first workload may be associated with a first computing resource of a first service provider and the second workload may be associated with a second computing resource of a second service provider. The techniques may import data associated with the first workload and the second workload into the space. The techniques may cause an action to be performed for the first workload and the second workload by implementing a first workflow for the first workload and implementing a second workflow for the second workload.
Authentication and tracking system for secondary users of a resource distribution processing system
Embodiments of the present invention provide a system for authenticating and tracking resource distributions of secondary users. The system is configured for receiving a registration request from a primary user, wherein the registration request is associated with registration of one or more secondary users, in response to receiving the request, generating user credentials for each of the one or more secondary users, associating the user credentials with a primary user identification of the primary user, receiving a resource distribution request from a secondary user of the one or more secondary users, authenticating the secondary user, and processing the resource distribution request based on authenticating the secondary user.
SYSTEMS AND METHODS FOR I/O COMMAND SCHEDULING BASED ON MULTIPLE RESOURCE PARAMETERS
A method for scheduling input/output (I/O) commands is described. The method includes receiving, by an I/O scheduler, an I/O command from an application; generating, by the I/O controller, an I/O resource requirement based on the I/O command; determining, by a traffic controller, that an amount of available resources satisfies a criteria based on the I/O resource requirement; and sending, by the traffic controller, the I/O command to a queue in response to the criteria being satisfied.
FACILITATING SECURE EXECUTION OF EXTERNAL WORKFLOWS FOR GENOMIC SEQUENCING DIAGNOSTICS
This disclosure describes methods, non-transitory computer readable media, and systems that can facilitate execution of external workflows for diagnostic analysis of nucleotide sequencing data utilizing a container orchestration engine. For example, the disclosed systems can utilize a container orchestration engine to allow external systems (e.g., third-party systems) to generate and implement workflows for analyzing sequencing data. In executing individual workflow containers of a sequencing diagnostic workflow, the disclosed systems can isolate the workflow containers to prevent access to, or corruption of, other data while also orchestrating allocation of computing resources available at a genomic sequence processing device to execute the workflow containers.
System for implementing data analytics in mainframe environments
Systems, computer program products, and methods are described herein for implementing data analytics in a mainframe environment. The present invention is configured to determine one or more data analytics resources associated with natural language processing algorithms; initiate one or more compiler protocols on the one or more data analytics resources to build one or more executable code for the one or more data analytics resources capable of being executed on a mainframe environment; establish a communication link with a job control language (JCL) subsystem associated with the mainframe environment; transmit the one or more executable code for the one or more data analytics resources to the JCL subsystem; generate one or more job control statements configured to be executable on the mainframe environment; generate a log of the one or more job control statements; and initiate an execution of the one or more job control statements on the mainframe environment.
System and method for infrastructure scaling
A method, system and computer program product, the method comprising: determining properties of a set of containers that are deployed over a computer infrastructure, wherein the computer infrastructure is provisioned via an infrastructure management service; determining properties of one or more headroom containers, wherein the one or more headroom containers are not deployed over the computer infrastructure; simulating the container orchestrator using the properties of the set of container and the properties of the headroom containers, for obtaining an expected deployment of the set of containers together with the one or more headroom containers; based on the expected deployment, determining whether the computer infrastructure is sufficient for deploying the set of containers together with the one or more headroom containers; and subject to the computer infrastructure being insufficient, issuing a request to the infrastructure management service to allocate additional computer infrastructure.
Work provenance in computing pools
A system and method for participating in and operating a distributed computing pool are disclosed. Computing pools combine computational resources from a plurality of computing devices over a network by splitting jobs into smaller jobs and distributing those smaller jobs to the computing devices so that they can be solved in parallel with little or no overlap in the work performed. The computing devices attempt to find solutions to the smaller jobs. Solutions found are signed and submitted back to the pool. The pool uses the signature to confirm the true origin of the solution and that the solution has not been tampered with.
Techniques for preventing concurrent execution of declarative infrastructure provisioners
Techniques for preventing concurrent execution of an infrastructure orchestration service are described. Worker nodes can receive instructions, or tasks, for deploying infrastructure resources and can provide heartbeat notifications to scheduler nodes, also considered a lease. A signing proxy can track the heartbeat notifications sent from the worker nodes to the scheduler node. The signing proxy can receive requests corresponding to a performance of the tasks assigned to the worker nodes. The signing proxy can determine whether the lease between each worker node and the scheduler is valid. If the lease is valid, the signing proxy may make a call to services on behalf of the worker node, and if the lease is not valid, the signing proxy may not make a call to services on behalf of the worker node. Instead, the signing proxy may cut off all outgoing network traffic, blocking access of the worker node to services.
Resource allocation in microservice architectures
A method for adjusting the resource allocation ratio between microservices used to run an application. A microservice test sequence is defined which has an order that follows the traffic flow through the microservices. Each microservice is analyzed in order of the test sequence to classify whether or not it is acting as a bottleneck for the application. This is done by measuring whether or not decrementing the microservice's resource causes the application throughput to decrease. For each microservice classified as a bottleneck and in reverse order of the test sequence, its resource is successively incremented until the application throughput starts to increase, indicating it is no longer acting as a bottleneck. The resource allocation ratio can then be adjusted to reflect this procedure.