The present disclosure is directed to a novel system for using a distributed register to generate, manage, and store data for interest-pooled time deposit resource accounts. The invention leverages a pooled resource account approach, allowing for multiple disparate resource accounts to benefit from an enhanced interest return by pooling resource accounts. The system components of the invention contemplate the use of distributed register technology to provide a verified ledger of information related to one or more resource accounts, as well as store system data, user data, and metadata related to the movement and management of resources. By using a distributed register approach to store and verify data related to time-dependent resource account services, the invention provides an automated system and methods for enhancing the flow of sensitive verified information, reducing the need for manual review and increasing the speed at which various resource account services can be validated and executed.

A real-time computational device includes a programmable real-time processor, a communications input port which is connected to the programmable real-time processor through a first broadside interface, and a communications output port which is connected to the programmable real-time processor through a second broadside interface. Both broadside interfaces enable 1024 bits of data to be transferred across each of the broadside interfaces in a single clock cycle of the programmable real-time processor.

Dynamically controlling use of a shared computing resource by virtual-computing sessions of a client computing device includes storing per-virtual-channel weights representing contributions of session virtual channels to performance, the stored weights including sets of weights for respective distinct application types. A resource allocation operation includes (i) for each session, selecting a set of weights based on a type of application using the session and applying the selected set of weights to activity state data to produce a session activity value, the activity state data representing activity states of the session virtual channels, and (ii) generating resource usage control signals based on the session activity values of the sessions, the resource usage control signals representing a target pattern of use of the shared computing resource by the sessions. An enforcement operation uses the resource usage control signals to establish the target pattern of use of the shared resource by the sessions.

In some examples, a system aggregates operational metric data of a plurality of storage volumes into aggregated operational metric data groups that correspond to different workload types of workloads for accessing data of a storage system. The system computes an operational metric for a first workload type of the different workload types, the operational metric relating to a resource of the storage system, where the computing of the operational metric for the first workload type comprises inputting aggregated operational metric data of a first aggregated operational metric data group of the aggregated operational metric data groups into a model trained at a system level of the storage system.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for scheduling operations represented as a computational graph on a distributed computing network. A method includes: receiving data representing operations to be executed in order to perform a job on a plurality of hardware accelerators of a plurality of different accelerator types; generating, for the job and from at least the data representing the operations, features that represent a predicted performance for the job on hardware accelerators of the plurality of different accelerator types; generating, from the features, a respective predicted performance metric for the job for each of the plurality of different accelerator types according to a performance objective function; and providing, to a scheduling system, one or more recommendations for scheduling the job on one or more recommended types of hardware accelerators.

Techniques described herein relate to a method for resource allocation using fingerprint representations of telemetry data. The method may include receiving, at a resource allocation device, a request to execute a workload; obtaining, by the resource allocation device, telemetry data associated with the workload; identifying, by the resource allocation device, a breakpoint based on the telemetry data; identifying, by the resource allocation device, a workload segment using the breakpoint; generating, by the resource allocation device, a fingerprint representation using the workload segment; performing, by the resource allocation device, a search in a fingerprint catalog using the fingerprint representation to identify a similar fingerprint; obtaining, by the resource allocation device, a resource allocation policy associated with the similar fingerprint; and performing, by the resource allocation device, a resource policy application action based on the resource allocation policy.

In one embodiment, a computer networking device calculates a first hash value for an identifier of a group of computing devices, as well as a second hash value for the identifier of the group of computing devices, with each hash value being at least in part on the identifier of the group of computing devices and an identifier of the respective interface. The computer networking device may also analyze the first hash value with respect to the second hash value and select the first interface for association with the identifier of the group of computing devices based at in part on the analyzing. The computer networking device may further store an indication that the identifier of the group of computing devices is associated with the first interface.

Embodiments relate to an integrated circuit of an electronic device that coordinates activities with another integrated circuit of the electronic device. The integrated circuit includes an interface circuit and a processor circuit. The interface circuit communicates over a multi-drop bus connected to multiple electronic components. The processor circuit receives an authorization request from the integrated circuit via the interface circuit and the multi-drop bus. The received authorization request relates to authorization to perform an activity on the other integrated circuit. In response to receiving the authorization request, the processor circuit determines whether the other integrated circuit is authorized to execute the activity. In response to determining that the other integrated circuit is authorized to execute the activity, the processor circuit sends, to the other integrated circuit over a configurable direct connection, an authorization signal authorizing the other integrated circuit to execute the activity.

A system for provisioning resources includes a processor and a memory. The processor is configured to receive a time series of past usage data. The past usage data comprises process usage data and instance usage data. The processor is further configured to determine an upcoming usage data based at least in part on the time series of the past usage data, and provision a computing system according to the upcoming usage data.

A method apparatus for resource allocation and related products are provided. The method includes the following. An operating system acquires at least one system event associated with a target application in response to detecting that the target application is running in a foreground of the mobile terminal. The operating system identifies an internal running scenario of the target application according to the at least one system event. The operating system acquires a strategy for performance improvement corresponding to the internal running scenario. The operating system adjusts allocation of system resources of the target application according to the strategy for performance improvement.