4 results about "Container status" patented technology

The application belongs to the field of cloud computing, and is a management method of a computing power cloud architecture combining a container cloud and a virtual machine cloud, a cloud management platform, a host resource management layer and a resource access layer, and comprises the following steps: S1: a host resource management module registers with the cloud management platform; S2: a registration and scheduling module sends a container creation instruction, and a host creates and schedules a container; S3: the host resource management layer reports idle resource information to the cloud management platform, and the cloud management platform triggers the binding and deployment of the container and the host; S4: a virtual machine access module sends a virtual machine creation instruction, and deploys a virtual machine to a specified host; S5: a resource access layer respectively collects and reports the running states of the container and the virtual machine; S6: a container state monitoring module sends a container unbinding and destruction instruction, and a host resource management module executes the operation; S7: a virtual machine host module sends an unbinding instruction, executes virtual machine unbinding, and a resource access layer releases resources.

This invention belongs to the field of transportation technology and is a collaborative planning method for charging and swapping facilities for electric heavy-duty trucks in port collection and distribution scenarios. The method includes: establishing a deployment plan for charging and swapping facilities under the constraint of the system's total budget; establishing a transportation model and an energy consumption model based on container status and flow direction; establishing a macroscopic distribution model of charging demand to characterize the generation of potential charging demand and its spatial allocation among facilities; establishing a queuing time model and setting constraints based on fleet size; establishing an optimization model with the goal of maximizing the system's total profit; relaxing the optimization model and directly controlling the allocation of charging demand at each node through operational scheduling; decomposing the relaxed optimization model into independent node subproblems using Lagrange decomposition; and updating the Lagrange multipliers using a subgradient algorithm, iteratively coordinating each subproblem to converge to the optimal solution. This invention solves the problem of collaborative planning for charging and swapping facilities for electric container truck fleets in port collection and distribution scenarios.

This invention relates to the fields of cloud computing, artificial intelligence infrastructure, and container resource scheduling technology, specifically an Agent-Schedule-based GPU scheduling system. The system includes: a Scheduler Center for receiving resource request and release requests from service callers, maintaining the real-time status of all hosts, GPUs, and containers in the cluster, generating and issuing container operation instructions, and processing execution callbacks from Agent nodes; Agent Resource Nodes for registering their local GPU hardware information, periodically reporting container running status and resource usage, receiving and executing container operation instructions, and sending callbacks of execution results; and a database for persistently storing resource configuration, running status, and instruction flow records, providing data support for global lock concurrency control, instruction execution closed-loop, and container state machine management. This solves the problems of slow resource request response, low GPU memory utilization, and poor scheduling execution reliability in existing technologies.

This invention discloses a method, apparatus, device, and storage medium for managing container status. The method includes: upon receiving a shutdown request for a target container group, receiving a shutdown configuration file containing container group association data for the target container group; querying the server node where the target container group resides based on the shutdown configuration file, creating a temporary execution task on the server node, and issuing a container commit command to the temporary execution task through the container engine's application programming interface; saving all content within the target container group as a container image based on the container commit command; and shutting down the target container group upon completion of the container commit command. This achieves the technical effects of ensuring no loss of content within the container group, improving the flexibility of container usage, and avoiding data loss due to single points of failure.