In one example in accordance with the present disclosure, an electronic device is described. An example electronic device includes a processor and memory storing executable instructions that when executed cause the processor to determine availability of memory resources and processing resources of multiple computing devices. The instructions also cause the processor to form a computing cluster based on the availability of the memory resources and the processing resources. The instructions further cause the processor to assign a computing task to the computing cluster to replace a cloud service.

A system to facilitate infrastructure management is described. The system includes one or more processors and a non-transitory machine-readable medium storing instructions that, when executed, cause the one or more processors to execute an infrastructure management controller to receive first monitoring data indicating a first infrastructure condition occurring at an on-premise infrastructure controller, determine a first load state of the on-premise infrastructure controller based on the first infrastructure condition and adjust a consistency level of the on-premise infrastructure controller to a first level of the consistency based on the first state.

Disclosed in some examples are methods, systems, and machine-readable mediums that provide a memory allocation mechanism that evenly spreads the allocations for an application over all the MCs on the system, thus minimizing congestion and resulting in optimal application performance.

One implementation of the present disclosure is a building system of a building including one or more memory devices having instructions stored thereon, that, when executed by one or more processors, cause the one or more processors to receive a query from a requesting system, the query including one or more query parameters and a context, the context indicating one or more purposes for the query including the one or more query parameters. The instructions cause the one or more processors to retrieve, based on the one or more query parameters, first data of the building system from a data storage system, identify, based on the context, one or more processing operations to perform to generate a processing result with the first data, perform the one or more processing operations with the first data to generate second data, and provide a response to the requesting system with the second data.

A system and method is provided for dynamic renewable runtime resource management in response to flexible resource allocations by a processor. In embodiments, a method includes: calculating, by a processor of a system, a resource consumption value of a first workload by aggregating allocation values of persistent resources currently allocated to the first workload by the processor; determining, by the processor, that the resource consumption value of the first workload is greater than a predefined resource allocation target for the first workload; and temporarily adjusting, by the processor, a renewable runtime resource target of the first workload from an initial target value to a temporary target value based on the resource consumption value.

Systems and methods for adaptively provisioning a distributed event data store of a multi-tenant architecture are provided. According to one embodiment, a managed security service provider (MSSP) maintains a distributed event data store on behalf of each tenant of the MSSP. For each tenant, the MSSP periodically determines a provisioning status for a current active partition of the distributed event data store of the tenant. Further, when the determining indicates an under-provisioning condition exits, the MSSP dynamically increases number of resource provision units (RPUs) to be used for a new partition to be added to the partitions for the tenant by a first adjustment ratio. While, when the determining indicates an over-provisioning condition exists, the MSSP dynamically decreases the number of RPUs to be used for subsequent partitions added to the partitions for the tenant by a second adjustment ratio.

A method for executing a task by a scheduling device, belonging to the technical field of electronics. The method includes: acquiring a target algorithm corresponding to a target task to be executed; acquiring an execution environment condition for a target algorithm, and current execution environment information of various execution devices; in the execution devices, determining a target execution device of which the execution environment information satisfies the execution environment condition; and sending a control message for executing the target task to the target execution device.

A container-orchestration system reads specification data associated with a third-party resource used by a managed resource. Based on the specification data the system retrieves resource configuration data of the third-party resource and updates a dependency definition with the resource configuration data. The dependency definition is associated with the managed resource and the third-party resource. The system provides the dependency definition to the managed resource.

[Problem] Available resources are efficiently used even in a case in which continuous available resources cannot be secured on a cloud. [Solution] A resource reservation management apparatus 10 includes: a storage unit that stores a resource capacity and resource reservation information of a computing machine; a reservation notification unit 11 that receives, from a user terminal, reservation request information including an operating requested time period, an operating time, and a requested specification as a reservation of a master lease; a scheduling unit 12 that creates slave leases by splitting the operating time of the master lease in accordance with times corresponding to available resources indicated in the resource reservation information and sets the slave leases in the resource reservation information; a reservation management unit that detects occurrence of predetermined events including stop, shift, restart, and deletion of the created instances by referring to the resource reservation information; and an instance management unit 15 that transmits instruction information in accordance with an instance creation instruction and the detected predetermined events to the computing machine 15.

Processing a neural network data flow graph having a set of nodes and a set of edges. An insertion point is determined for a memory reduction or memory restoration operation. The determination is based on computing tensor timing slacks (TTS) for a set of input tensors; compiling a candidate list (SI) of input tensors, from the set of input tensors, using input tensors having corresponding TTS values larger than a threshold value (thTTS); filtering the SI to retain input tensors whose size meets a threshold value (thS); and determining an insertion point for the operation using the SI based on the filtering. A new data flow graph is generated or an existing one is modified using this process.