H04L47/762

ALLOCATING ADDITIONAL BANDWIDTH TO RESOURCES IN A DATACENTER THROUGH DEPLOYMENT OF DEDICATED GATEWAYS

Some embodiments provide policy-driven methods for deploying edge forwarding elements in a public or private SDDC for tenants or applications. For instance, the method of some embodiments allows administrators to create different traffic groups for different applications and/or tenants, deploys edge forwarding elements for the different traffic groups, and configures forwarding elements in the SDDC to direct data message flows of the applications and/or tenants through the edge forwarding elements deployed for them. The policy-driven method of some embodiments also dynamically deploys edge forwarding elements in the SDDC for applications and/or tenants after detecting the need for the edge forwarding elements based on monitored traffic flow conditions.

Joint resource assigning method and device for allocating resources to terminal

Provided in the embodiments of the present disclosure are a resource determination and information sending method and device, a storage medium and a processor. The resource determination method includes: receiving configuration information, the configuration information carrying indication information for indicating information of a Physical Resource Block (PRB) that supports resource assignment for a terminal with a subcarrier Resource Unit (RU) as a minimum granularity; receiving information carrying a resource assignment field, a Resource Indication Value (RIV) of a specified field in the resource assignment field being used for indicating resource information assigned to the terminal; and determining, according to the indication information and the RIV, a resource assigned to the terminal.

Joint resource assigning method and device for allocating resources to terminal

Provided in the embodiments of the present disclosure are a resource determination and information sending method and device, a storage medium and a processor. The resource determination method includes: receiving configuration information, the configuration information carrying indication information for indicating information of a Physical Resource Block (PRB) that supports resource assignment for a terminal with a subcarrier Resource Unit (RU) as a minimum granularity; receiving information carrying a resource assignment field, a Resource Indication Value (RIV) of a specified field in the resource assignment field being used for indicating resource information assigned to the terminal; and determining, according to the indication information and the RIV, a resource assigned to the terminal.

Differential overbooking in a cloud computing environment

Techniques for differential overbooking on a cloud database. These techniques may include determining a reservation amount of a multi-tenant resource for a first service of a based upon an overbooking characteristic of the first service, and determining that a total usage value of the multi-tenant resource by a plurality of services is greater than a threshold value. In addition, the techniques may include determining a service usage value of the multi-tenant resource by the first service, determining a first overage value of the first service based on the service usage value and the reservation amount, and performing a resource reclamation process over the multi-tenant resource based on the first overage value of the first service.

Differential overbooking in a cloud computing environment

Techniques for differential overbooking on a cloud database. These techniques may include determining a reservation amount of a multi-tenant resource for a first service of a based upon an overbooking characteristic of the first service, and determining that a total usage value of the multi-tenant resource by a plurality of services is greater than a threshold value. In addition, the techniques may include determining a service usage value of the multi-tenant resource by the first service, determining a first overage value of the first service based on the service usage value and the reservation amount, and performing a resource reclamation process over the multi-tenant resource based on the first overage value of the first service.

Master station device, base station, and communication control method
11510282 · 2022-11-22 · ·

A base station determines, based on transmission quality information of a fronthaul and channel quality information of a terminal, a resource and a transmission scheme of the fronthaul assigned to the terminal, and controls, based on determined information, the transmission scheme of a signal to be transmitted to the fronthaul using the determined resource.

Dynamically re-allocating computing resources while maintaining network connection(s)

Techniques are described herein that are capable of dynamically re-allocating computing resources while maintaining network connection(s). Applications of users are run in a computing unit. Computing resources are allocated among the applications based at least in part on dynamic demands of the applications for the computing resources and resource limits associated with the respective customers. In a first example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between a client device of each customer and at least one respective application. In a second example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between an interface and a client device of each customer.

Dynamically re-allocating computing resources while maintaining network connection(s)

Techniques are described herein that are capable of dynamically re-allocating computing resources while maintaining network connection(s). Applications of users are run in a computing unit. Computing resources are allocated among the applications based at least in part on dynamic demands of the applications for the computing resources and resource limits associated with the respective customers. In a first example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between a client device of each customer and at least one respective application. In a second example, the computing resources are dynamically re-allocated among the applications, as a result of changing the resource limit of at least one customer, while maintaining at least one network connection between an interface and a client device of each customer.

SYSTEM AND METHOD FOR SERVICE ENABLEMENT AND RESOURCE ALLOCATION IN STORAGE FACILITIES
20230056286 · 2023-02-23 · ·

A system for enablement of services and resource allocation in a storage facility is provided. The system includes a plurality of resources and a server. The server stores an identifier and historical data of an item, and receives the identifier associated with the item. The server identifies a default lifecycle of the item and allocates a first set of resources to each predefined process of the default lifecycle. The server detects a value-added service requirement and selects a value-added service based on the detected value-added service requirement. The server modifies the default lifecycle of the item by introducing the selected value-added service in the default lifecycle, identifies and allocates a second set of resources from the plurality of resources to execute the selected value-added service.

AUTOMATIC SCALING FOR CONSUMER SERVERS IN A DATA PROCESSING SYSTEM

A system and method for automatically scaling consumer servers in a data processing system. To build an automatic scaling system, the present disclosure allows consumers to obtain additional information, e.g., the number of events that await to be read from an aggregator when receiving an event from the aggregator. This additionally obtained number provides a direct gauge for the data processing system to determine when the consumers are over-provisioned, i.e., when the number of events left to be read is close to zero, as well as when the consumers are under-provisioned, e.g., when the number of events left to be read continues to increase. As a result, the consumers can be automatically scaled to handle the dynamic data processing demand while providing optimal resource allocation.