A system to manage and exchange resources between enterprises in a cloud computing environment is disclosed. The system includes an information classifying subsystem, configured to classify one or more collected enterprise data into one or more resource groups based on the type and content of the enterprise data using an artificial intelligence-based segmentation model. The system includes a dynamic distribution subsystem, configured to dynamically distribute the classified one or more resource groups with each other based on one or more predefined parameters using an artificial intelligence-based data recommendation technique. The system includes a performance data generator subsystem, configured to generate performance data associated with the enterprise based on the dynamically distributed one or more resource groups. The system includes a resource operation management subsystem, configured to perform operations on the one or more resources based on type of the one or more resources and one or more user privileges.

Examples described herein relate to at least one processor that is to perform a command to build a container using multiple routines and allocate resources to at least one routine based on specification of a service level agreement (SLA) associated with each of the at least one routine. In some examples, the container is compatible with one or more of: Docker containers, Rkt containers, LXD containers, OpenVZ containers, Linux-VServer, Windows Containers, Hyper-V Containers, unikernels, or Java containers. In some examples, a service level is to specify one or more of: time to completion of a routine or resource allocation to the routine. In some examples, the resources include one or more of: cache allocation, memory allocation, memory bandwidth, network interface bandwidth, or accelerator allocation.

Methods and devices for creating and operating a combined network and computational slice instance (NCSI) in a Multi-access Edge Computing (MEC) scenario. Communication and computational resources may be reserved by a NCSI controller for the NCSI. The communication resources may include network slices and the computational resources may include MEC computational resources of one or more MEC servers. The reserved resources may be selected based on quality of service (QoS) requirements of UEs that will utilize the NCSI. During operation, reserved resources for the NCSI may be dynamically renegotiated based on an aggregate load of the NCSI, the QoS of data traffic, and/or updated QoS requirements of the UEs.

A method by a count database node monitors content of subscriber accounts processed by an online charging system in a communication network for user equipment nodes. The method includes receiving by the count database node a plurality of data records. Each data record contains a subscriber identifier and an attribute to be provisioned for the subscriber. For each of the data records, the data record is sorted for storage in database structures maintained by the count database node based on the attribute of the data record. The method further includes determining a count value based on a number of the data records stored in the database structures maintained by the count database node containing an attribute defined by a query received by the count database node, and providing the count value from the count database node to another node.

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.

A priority-based resource processing method and system, belonging to the technical field of information processing, are described. The priority-based resource processing method comprises: calculating a first priority of a first resource and a second priority of a second resource; determining whether the first priority of the first resource is higher than the second priority of the second resource; and when it is determined that the first priority is higher than the second priority, responding to a first operation request corresponding to the first resource.

Systems, apparatuses, methods, and computer-readable media, are provided for offloading computationally intensive tasks from one computer device to another computer device taking into account, inter alia, energy consumption and latency budgets for both computation and communication. Embodiments may also exploit multiple radio access technologies (RATs) in order to find opportunities to offload computational tasks by taking into account, for example, network/RAT functionalities, processing, offloading coding/encoding mechanisms, and/or differentiating traffic between different RATs. Other embodiments may be described and/or claimed.

One embodiment of the present invention relates to a method for performing a beam search and transmitting a signal in which a first terminal using an mmWave band performs a beam search and transmits a signal in a wireless communication system, comprising the steps of: receiving error information relating to the location of a second terminal; determining at least one of beam direction, beam search performing range, and beam search performing order using the error information for the second terminal; performing a beam search according to the determination that is made; and transmitting a signal to the second terminal through beamforming in accordance with the result of the beam search.

An information processing system includes: a service system, a plurality of agent machines, and a plurality of encryption machines. The plurality of agent machines and the plurality of encryption machines are divided into a plurality of groups, and each group includes at least two encryption machines and a plurality of agent machines communicatively connected to the at least two encryption machines. The encryption machine is configured to encrypt and decrypt data from the service system and to perform signature verification on the data when the service system performs a security call on the encryption machine via the agent machine in the group containing the encryption machine. The service system is configured to perform service processing and to perform the security call on the encryption machine via the agent machine in the group containing the encryption machine.

Improved techniques for responding to a server that is overwhelmed with messages are disclosed herein. Messages may initially be placed in an “incoming” queue. Once accepted by the server for processing, a corresponding message may be placed in an accepted queue, and an indication is generated that the message will be processed. When the number of messages in the accepted queue meets or exceeds a defined threshold, new messages addressed to the incoming queue are rejected. Also, computing resources are allocated to the incoming queue until the messages in the incoming queue have been processed (or meet another condition). Once the incoming queue is empty or meets another condition, resources are allocated to the accepted queue. Once the number of messages in the accepted queue meets or falls below a second threshold, new messages are allowed again into the incoming queue.