Disclosed are a multi-tenant-based service provision system and method. The multi-tenant-based service provision system includes a usage amount measurer configured to measure a resource usage amount of a service provided for each of a plurality of tenants in a cloud environment, a usage amount predictor configured to analyze the measured resource usage amount and predict a necessary resource usage amount, and a container controller having a plurality of container images each including information regarding an available resource allocation amount, the container controller being configured to distribute container images for executing the service to the cloud environment or collect the container images distributed to the cloud environment according to a result of the prediction.

A system, method, and computer program product are provided for managing distribution of a finite amount of resources. In use, a quota is received from a first repository, the quota including a portion of a finite amount of resources. Additionally, a plurality of requests is received from a plurality of entities, where each of the plurality of requests is requesting one or more of the resources. Further, the one or more of the resources are conditionally provided to the plurality of entities, in response to the plurality of requests. Further still, it is determined whether a predetermined amount of resources exist. Also, an additional quota is conditionally requested from the first repository, based on the determining.

A system includes an infrastructure as a service (IaaS) layer to provide a set of infrastructure services to manage computing resources in a cloud computing environment. The system includes a service framework layer, separate from the IaaS layer, the service framework layer comprising an asynchronous interface to communicate with the IaaS layer and to create a framework service to extend the IaaS layer in response to a command from an upper tier service, the framework service to employ the asynchronous interface to utilize an infrastructure service from the set of infrastructure services.

Provided is a distributed scheduling method and apparatus for resource allocation for Device-to-Device (D2D) communication. The method includes sending, by a Mobile Station (MS) including data to transmit, a first resource reservation message through at least one first slot among a plurality of slots constituting a resource reservation unit in a resource reservation channel; and when a second resource reservation message sent by another MS is not sensed in a slot with a higher priority than the first slot in the resource reservation unit, transmitting the data through a transmission resource unit corresponding to the resource reservation unit in a data transmission channel. The resource reservation channel corresponds to the transmission resource unit, and the plurality of slots has mutually cyclic priorities.

An information handling system and method of a master baseboard management controller election and replacement sub-system (MBMCERS) enables decentralized resource management control via the elected master baseboard management controller (BMC). The information handling system includes a plurality of server nodes, each having a BMC capable of controlling a plurality of shared common resources among the plurality of server nodes. Each BMC has a unique BMC identification. A master register stores BMC identification that has been elected as the master BMC to control the shared common resources. The master BMC relinquishes control of the shared common resources when the master register is placed in the reset state. When the master register is in the reset state, any one of the BMCs can elect to become a replacement master BMC.

An approach is provided for managing the provisioning and utilization of resources. A management platform determines a request from a user for execution of one or more data processing tasks by a remote computing service. The management platform also processes and/or facilitates a processing of at least one execution constraint associated with the user, a group associated with the user, or a combination thereof to determine a maximum number of clusters, cluster instances, or a combination thereof of the remote computing service to be provisioned for fulfilling the request. The management platform further causes, at least in part, a provisioning of one or more clusters, one or more cluster instances, or a combination thereof to the user, the group, or a combination thereof to within the maximum number of clusters, cluster instances, or a combination thereof based on the at least one execution constraint.

A client device detects one or more servers to which an application can be offloaded. The client device receives information from the servers regarding their graphics processing unit (GPU) compute resources. The client device selects one of the servers to offload the application based on such factors as the GPU compute resources, other performance metrics, power, and bandwidth/latency/quality of the communication channel between the server and the client device. The client device sends host code and a GPU computation kernel in intermediate language format to the server. The server compiles the host code and GPU kernel code into suitable machine instruction set architecture code for execution on CPU(s) and GPU(s) of the server. Once the application execution is complete, the server returns the results of the execution to the client device.

In representative embodiments, a digital assistant is extended by service activities. A service activity executes as a service as part of the digital assistant. A service activity specifies a set of user data to be provided when invoked, at least one insight used to invoke the service activity in a proactive way and at least one intent used to invoke the service activity in a reactive way, and executable code that is executed when the service activity is invoked. A development environment provides templates to ease development of service activities. Service activities in development can be deployed alongside production services with access to service activities in development restricted to a set of authorized users.

A plurality of processing entities are maintained. A plurality of task control block (TCB) groups are generated, wherein each of the plurality of TCB groups are restricted to one or more different processing entities of the plurality of processing entities. A TCB is assigned to one of the plurality of TCB groups, at TCB creation time.

Aspects of the subject disclosure may include, for example, a server, comprising a processing system including a processor and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving a request from a mobile device of a user having an account to access a first mobile application of a plurality of mobile applications, wherein each of the plurality of mobile applications is embedded into a single bundled application, and wherein the single bundled application is downloaded onto the mobile device, determining whether the mobile device has permissions for access to the first mobile application and whether the mobile device is executing the single bundled application, and sending permissions data to the mobile device that enables the mobile device via the account to access the first mobile application. Other embodiments are disclosed.