Abstract: A computing system may access a source device configured to store device traffic in a source device queue. The computing system may launch, by one or more worker nodes of a control plane of the computing device, a destination device. The computing system may transmit a source device state to the destination device. The control plane worker nodes may configure the destination device from the source device state. The computing system may instruct the source device to pause storing the device traffic to the source device guest memory. The computing system may store dirty page information in the computing system memory. The computing system may transmit the dirty page information to the destination guest memory. The computing system may instruct the destination device to resume storing the device traffic to the destination guest memory.

Abstract: Disclosed is a method and device for processing data, and the method includes generating a target augmentation task sequence by processing the target data with a trained first model that performs inference on the target data to generate the target data augmentation task sequence, generate augmented target data by performing data augmentation on the target data according to the target augmentation task sequence, and obtaining a prediction result corresponding to the target data by inputting the augmented target data to a trained second model and performing a corresponding processing on the augmented target data by the trained second model.

Abstract: The disclosed systems, methods and computer readable media relate to managing Non-Volatile Memory Express (NVMe) over Transmission Control Protocol (TCP) (NVMeOTCP) connections between a smart network interface card (smartNIC) and a block storage data plane (BSDP) of a cloud computing environment. A software agent (“agent”) executing at the smartNIC may manage a number of network paths (active and, in some cases, passive network paths). The agent may monitor the network traffic (e.g., input/output operations (IOPS)) through the paths (e.g., using established NVMeOTCP connections corresponding to the paths). If a condition is met relating to a performance threshold associated with the monitored paths, the agent may increase or decrease the number established NVMeOTCP connections to match real time network conditions.

Abstract: The disclosed systems, methods and computer readable media relate to managing Non-Volatile Memory Express (NVMe) over Transmission Control Protocol (TCP) (NVMeOTCP) connections between a smart network interface card (smartNIC) and a block storage data plane (BSDP) of a cloud computing environment. A software agent (“agent”) executing at the smartNIC may manage a number of network paths (active and, in some cases, passive network paths). The agent may monitor the network traffic (e.g., input/output operations (IOPS)) through the paths (e.g., using established NVMeOTCP connections corresponding to the paths). If a condition is met relating to a performance threshold associated with the monitored paths, the agent may increase or decrease the number established NVMeOTCP connections to match real time network conditions.

Abstract: Disclosed is a target tracking method and apparatus. The target tracking apparatus includes a processor configured to obtain a first depth feature from a target region image and obtain a second depth feature from a search region image, obtain a global response diagram between the first depth feature and the second depth feature, acquire temporary bounding box information based on the global response diagram, updated the second depth feature based on the temporary bounding box information, obtain local feature blocks based on the first depth feature, obtain a local response diagram based on the local feature blocks and the updated second depth feature, and determine output bounding box information based on the local response diagram.

Abstract: An LED lead frame structure includes a lamp body, and a stamped metal frame including transversely spaced and longitudinally extended first longitudinal frame portion and second longitudinal frame portion, longitudinally spaced and transversely extended first transverse frame portion and second transverse frame portion and a material strip frame. The first transverse frame portion is integrally connected to a rear end of the first longitudinal frame portion. The second transverse frame portions integrally connected to a rear end of the second longitudinal frame portion. This product can be regarded as a semi-finished product having a bendable structure and can be bent again if necessary, and thus, this design can reduce the number of times in bending lamp pins.

Abstract: An LED lead frame structure includes a lamp body, and a stamped metal frame including transversely spaced and longitudinally extended first longitudinal frame portion and second longitudinal frame portion, longitudinally spaced and transversely extended first transverse frame portion and second transverse frame portion and a material strip frame. The first transverse frame portion is integrally connected to a rear end of the first longitudinal frame portion. The second transverse frame portions integrally connected to a rear end of the second longitudinal frame portion. This product can be regarded as a semi-finished product having a bendable structure and can be bent again if necessary, and thus, this design can reduce the number of times in bending lamp pins.

Abstract: According to embodiments of the present invention a computer system that is capable of sharing physical devices among several virtual machines (VM) includes hardware assisted logic to allow requests from guest operating systems (guest OS) to circumvent a virtual machine monitor (VMM) and be processed by the hardware assisted logic.

Abstract: According to embodiments of the present invention a computer system that is capable of sharing physical devices among several virtual machines (VM) includes hardware assisted logic to allow requests from guest operating systems (guest OS) to circumvent a virtual machine monitor ((VMM) and be processed by the hardware assisted logic.