8results about How to "Reduce queuing delay" patented technology

The invention relates to the technical field of computer communication, and discloses a non-blocking crossbar scheduling device, method, equipment and medium in PCIe, and the device comprises a flow control module, an entrance arbitration module, a scheduling module and an exit arbitration module. The entrance arbitration module obtains a credit value of an exit side of the device through the flow control module, and performs order-preserving scheduling and port scheduling on the received target data according to the credit value; and after the scheduling module performs inter-module scheduling on the plurality of inlet arbitration modules, the outlet arbitration module sends the target data to the outlet port of the group outlet module through the outlet side according to the inter-module scheduling result. And scheduling the target data according to the cache condition of the exit side. According to the invention, the scheduled data can be ensured to have a corresponding cache space at the exit, so that the problem of head-of-queue blocking in scheduling is solved.

The invention provides an unmanned aerial vehicle video acquisition and return method under multiple time scales. The method comprises the following steps: establishing a first target optimization model and a target constraint condition; the first target optimization model is used for maximizing the quality of the video acquired by the unmanned aerial vehicle; the target constraint condition is used for constraining the non-returned video amount of the unmanned aerial vehicle; and based on the target constraint condition, solving the first target optimization model to obtain an unmanned aerial vehicle video acquisition resolution under the first time scale and bandwidth resources allocated to the unmanned aerial vehicle for video return under the second time scale. According to the method provided by the embodiment of the invention, the video stream data queuing time delay can be reduced through small-time-scale resource allocation, so that the video acquired by the unmanned aerial vehicle can be returned in time, and video jitter caused by frequent video resolution switching can be effectively reduced through large-time-scale video resolution adjustment, so that the video quality is improved. The quality and stability of unmanned aerial vehicle cluster video data acquisition and return are efficiently improved under the limited bandwidth.

This invention discloses a low-latency UAV-assisted dynamic distribution method for panoramic video streams based on viewport prediction, belonging to the interdisciplinary field of mobile communication and immersive multimedia transmission. By constructing a multi-level forward-looking virtual queue model, future viewport data requests are mapped to current weighted accumulated potential energy, thereby driving the system to perform traffic temporal shaping when channel conditions are favorable. In other words, through proactive resource scheduling, future transmission tasks are shifted to the present for completion, achieving a proactive service mode for data waiting for users. Simultaneously, in conjunction with a trap-aware hierarchical backtracking optimization strategy, this invention can guide UAVs to actively avoid local optimal deadlocks, ensuring that the optimal air-to-ground transmission link is maintained in dynamic environments, thereby fundamentally eliminating queuing time and guaranteeing a low-latency, smooth playback experience for panoramic video.

The application provides a data processing method for a multi-grain chip and the multi-grain chip, and relates to the chip technical field.The method comprises the following steps: firstly, in response to a computing core of a first grain, a memory access transaction is initiated to a target storage controller of a second grain, and a shared attribute identifier is determined.Then, when the shared attribute identifier indicates that the memory access data is non-shared data, a shunting processing procedure is executed: if it is a write transaction, write request data is split into a control packet and a first data packet, the control packet is sent to the target storage controller through a home agent node, and after a write response is received, the first data packet is sent to the target storage controller through a data path bypassing the home agent node; if it is a read transaction, read request data is sent to the target storage controller through the home agent node, and a second data packet returned by the target storage controller through a data path bypassing the home agent node and a read response returned through the home agent node are received.The scheme can reduce the serialization processing overhead of cross-grain memory access in the multi-grain chip.

The application discloses a kind of distributed On-the-Fly encoding computing scheduling and system for computing task flow.The method is for distributed computing framework, for indivisible computing task, in the scene considering that the overhead of revoking redundant task is not negligible, due to the existence of laggard phenomenon of distributed computing and multiple node scheduling problems, the laggard problem in distributed system is alleviated by designing On-the-Fly model coding scheme, using Round-Robin scheduling mode, the problem of multiple worker node scheduling is solved, so as to reduce the average execution time of overall task.

The invention relates to a high-speed communication transmission rate control method based on Kalman filter prediction, and belongs to the technical field of network resource allocation. Based on the number of data packets in the real-time service queue at time nT, the number of data packets in the real-time service queue at time (n+1)T is calculated; based on the number of data packets in the real-time service queue at time (n+1)T and the length of the real-time service queue, the occupancy ratio of the real-time service queue at time (n+1)T is calculated, and the service rate corresponding to the interval where the occupancy ratio of the real-time service queue at time (n+1)T is located is used as the service rate of the real-time service queue at time (n+1)T; based on the service rate of the real-time service queue at time (n+1)T, the size of a single data packet in the real-time service queue, the size of a single data packet in the non-real-time service queue, and the size of the available data block, the service rate of the non-real-time service queue at time (n+1)T is calculated, and the transmission rate of each data packet in the real-time service queue and the non-real-time service queue is adjusted.

The present application provides a VNF deployment method, device and equipment based on network traffic convergence, which relates to the field of communication technology, including: partitioning the underlying physical network based on the network node distance, calculating the VNF deployment candidate node set; obtaining the network of the VNF node to be deployed, taking each network node in the network of the VNF node to be deployed as the source node in turn, and the candidate node closest to the source node in the VNF deployment candidate node set as the destination node corresponding to the source node, and determining the data transmission link based on each source node and the corresponding destination node; calculating the intermediate centrality of the given destination node set corresponding to each network node in the network of the VNF node to be deployed after the data packet is transmitted on each data transmission link, and determining the VNF deployment target node set based on the intermediate centrality in the given destination node set for VNF deployment. The present application reduces the overall queuing delay of the network and avoids network congestion and interruption.

The application discloses a kind of communication and control deep fusion's intelligent distribution network edge control equipment applied to electric communication technical field, including mapping database, instruction generation module, identification processing module, photoelectric conversion module, wavelength allocation module, multi-port DWDM optical module and task verification execution module, different emergency degree's task instruction type is directly corresponded to different physical wavelength channel and optical wavelength identification, the physical layer solidification of task priority is realized, the queuing delay problem caused by the same channel shared by multiple tasks is reduced, simultaneously, by the correspondence of optical wavelength identification and task instruction or not, a judging means is provided for the safety of data, whether there is the possibility of malicious modification instruction by criminal, intent to destroy equipment operation is effectively judged, in addition, by the task midway upgrading means, when emergent situation occurs, optical wavelength identification is modified automatically, the timeliness and correctness of downstream equipment task response are further guaranteed.