An example method is provided for recommending VM configurations, including one or more servers upon which one or more VMs can run. A user wishing to run these VMs can request a recommendation for an appropriate server or set of servers. The user can indicate a category corresponding to the type of workload that pertains to the VMs. The system can receive the request and identify a pool of servers available to the user. Using industry specifications and benchmarks, the system can classify the available servers into multiple categories. Within those categories, similar servers can be clustered and then ranked based on their levels of optimization. The sorted results can be displayed to the user, who can select a particular server (or group of servers) and customize the deployment as needed. This process allows a user to identify and select an optimized setup quickly and accurately.

A bandwidth control method, apparatus, and a device, in the field of computer technologies includes determining an upper bandwidth limit of the device when providing a service for registered clients, resetting an upper bandwidth limit of each client based on a working status of each client and the upper bandwidth limit of the device, and reallocating a bandwidth to each client based on the upper bandwidth limit of each client.

A bandwidth control method, apparatus, and a device, in the field of computer technologies includes determining an upper bandwidth limit of the device when providing a service for registered clients, resetting an upper bandwidth limit of each client based on a working status of each client and the upper bandwidth limit of the device, and reallocating a bandwidth to each client based on the upper bandwidth limit of each client.

A system, method, and machine-readable storage medium for providing a set of recommended quality of service (QoS) settings are provided. In some embodiments, providing the recommendation includes receiving a set of QoS settings of a volume for a client, a set of measured QoS metrics of the volume for the client, and a measure of load for a slice service corresponding to the volume. Providing the recommendation further includes determining a predicted QoS metric of the volume and a predicted load of the slice service. Providing the recommendation also includes determining, based on the predicted QoS metric, the predicted load, and the set of QoS settings, a set of recommended QoS settings to the client. The set of QoS settings of the volume for the client is then updated with the set of recommended QoS settings.

A system, method, and machine-readable storage medium for providing a set of recommended quality of service (QoS) settings are provided. In some embodiments, providing the recommendation includes receiving a set of QoS settings of a volume for a client, a set of measured QoS metrics of the volume for the client, and a measure of load for a slice service corresponding to the volume. Providing the recommendation further includes determining a predicted QoS metric of the volume and a predicted load of the slice service. Providing the recommendation also includes determining, based on the predicted QoS metric, the predicted load, and the set of QoS settings, a set of recommended QoS settings to the client. The set of QoS settings of the volume for the client is then updated with the set of recommended QoS settings.

A method for offloading services of a sewer application in a network system. The method includes receiving, by a first in-network computation offload instance, a first request packet from a client application, wherein the first request packet includes a first application payload for processing by the server application; generating, by the first instance, a modified request packet that includes the first application payload and first offload information that describes the first instance for use by the server application in coordinating offloading processing to one or more in-network computation offload instances; and transmitting, by the first instance, the modified request packet to the next device in the traffic flow between the client application and the server application, wherein the next device is either (1) a second in-network computation offload instance in the traffic flow between the client application and the server application or (2) the sewer application.

A method for offloading services of a sewer application in a network system. The method includes receiving, by a first in-network computation offload instance, a first request packet from a client application, wherein the first request packet includes a first application payload for processing by the server application; generating, by the first instance, a modified request packet that includes the first application payload and first offload information that describes the first instance for use by the server application in coordinating offloading processing to one or more in-network computation offload instances; and transmitting, by the first instance, the modified request packet to the next device in the traffic flow between the client application and the server application, wherein the next device is either (1) a second in-network computation offload instance in the traffic flow between the client application and the server application or (2) the sewer application.

A computing environment includes a computing service provider and an edge computing network that has computing and storage devices that extend computing resources of the computing service provider to remote users. An edge platform is configured to execute industry specific PaaS services and industry specific third-party applications. The edge platform communicates with an IoT edge service, inference engine, and IoT edge gateway that performs protocol conversion. The industry edge platform provides a standardized platform for enabling execution of the industry specific PaaS services and industry specific third-party applications.

The present disclosure relates to enhancing load processing for facilitated assignment or modification of access-right data. More specifically, the present disclosure relates to enhancing load processing and data storage using hierarchical data structures that can store various iterations of resource objects. In some embodiments, a computer-implemented method, system, and/or computer-program product tangibly embodied in a non-transitory machine-readable storage medium for enhanced load processing using hierarchical data structures may be provided.

The present disclosure relates to enhancing load processing for facilitated assignment or modification of access-right data. More specifically, the present disclosure relates to enhancing load processing and data storage using hierarchical data structures that can store various iterations of resource objects. In some embodiments, a computer-implemented method, system, and/or computer-program product tangibly embodied in a non-transitory machine-readable storage medium for enhanced load processing using hierarchical data structures may be provided.