44 results about "Stream management" patented technology

A method and system provide for receiving the first request to generate a pipeline flow, identifying a user account based on the first request, associating the pipeline flow with the user account, receiving a second request to process an action associated with the user account, and processing the action including applying the pipeline flow to select the component configuration based on the parameter.

A SEALDD server may receive a request to establish a SEALDD flow, wherein the SEALDD flow facilitates a transfer of VAL data between a VAL client endpoint and a first VAL server endpoint, and wherein the request comprises at least one of VAL client endpoint information and first VAL server endpoint information. The SEALDD server may establish a SEALDD flow associated with the first VAL server and associated with at least one VAL client endpoint. The SEALDD server may subscribe to a core network and receive a notification from the core network indicating a UE mobility event associated with a UE upon which the VAL client is hosted. The SEALDD server may determine to transfer the VAL client to a second VAL server. The SEALDD server may transfer the SEALDD flow to a different SEALDD server associated with the second VAL server.

A system for a hospitality environment includes a plurality of destination devices and a first routing device in communication with the plurality of destination devices. The first routing device may receive a request for a content stream from a first destination device of the plurality of destination devices, and determine whether the content stream is currently being provided by the first routing device to a second destination device of the plurality of destination devices. When the content stream is currently being provided by the first routing device to the second destination device, the first routing device sends the content stream to the first destination device and the second destination device, and when the content stream is not currently being provided by the first routing device to the second destination device, the first routing device forwards the request for the content stream to a first network element.

This invention provides a method for allocating storage locations in an automated three-dimensional warehouse using digital twin technology. The method constructs a warehouse management system through five dimensions: a physical layer, a twin layer, a data layer, a service layer, and a connectivity layer. The physical layer represents the actual warehousing operation scenario; the twin layer maps the equipment and environment of the physical layer to a virtual space, constructing a digital model of the warehouse; the data layer is responsible for the collection, processing, and storage of data from the physical layer, providing accurate input for the service and twin layers; the service layer provides optimization decision-making and human-computer interaction functions for users and system management; and the connectivity layer is responsible for the data and control transmission between the layers, ensuring the system's synergy and real-time performance. By supporting multi-objective optimization algorithms through digital twin technology, intelligent and precise storage location allocation is achieved, providing a novel solution for digital logistics management.

The video stream management system (150) includes a video controller (152) that renders video in real-time. Further, the video stream management system (150) includes a display (102) that is communicatively coupled to the video controller (152) and displays a primary video feed (168) that includes the real-time rendered video. The video controller (152), the display (102), or a combination thereof, embeds a pixel pattern (164) in the primary video feed (168). Additionally, the video feed management system (152) monitors one or more displayed images on the display (102) to identify an error in the primary video feed (168).

The application discloses a configurable workflow management method, establishes an architecture different from traditional workflow management, and defines a unique and brand-new message interaction mode. The use threshold of a workflow engine is greatly reduced, and the research and development efficiency of workflow application is greatly improved; thus, workflow management is efficiently realized, and diversified requirements based on workflow management are met. According to the system architecture and data transmission specification designed according to the application, the definition, updating, maintenance and the like of workflow data can be completed, the workflow configuration requirements in different occasions and under different backgrounds are coped with, the complex principle of the workflow is shielded, the learning threshold of the workflow is avoided, and the work and cost brought by the connection of different kinds of workflows are avoided. A user only needs to learn the transmission specification defined by the method, and then complete workflow management, is suitable for most workflow scenes, and supports very flexible expansion.

In response to a first programmatic request, metadata indicating that a first isolated read channel of a real-time category has been associated with a first target stream is stored at a stream management service. In response to another request, metadata indicating that a second isolated read channel of a non-real-time category has been associated with a second target stream is stored. In response to a read request indicating the first channel or the second channel, one or more data records of the corresponding target streams are provided.

The invention relates to an operational method (100) for reverse logistics management of electrical and electronic waste (210) for compling with Federal Law 12305 / 2010, which establishes the National Solid Waste Policy (PNRS), comprising an integrated and interrelated set of interdependent operations whose actions (AS) and collected / generated data (D1) are traceable and auditable in real time, with actions (AS) identified on a virtual platform (PV) with an application interface (APP) and collected data (D1) stored / analysed in a database (BD); These actions (AS), from the collection request to the confirmation of receipt of the waste (210) at the processing industry (140), result in the issuance of certificates of correct destination and final disposal of the waste (210).

The invention discloses a dynamic management method, system and device for mixed traffic flow, a medium and a product. The method comprises the following steps: acquiring participants of a mixed traffic flow scene; the participants comprise controllable participants and uncontrollable participants; clustering the controllable participants according to a preset group scale range to obtain at least one microscopic group; when a state change notification from the participant is received, searching an affected first microscopic group from the microscopic groups, and recombining the first microscopic group according to the state change notification; and reordering the microcosmic groups at each time step, regarding each reordered microcosmic group as a formation control object, and performing formation control on the participants. By adopting the embodiment of the invention, the efficient division of the traffic flow can be realized, the compactness of the microscopic group is ensured to be maintained in real time, the computing complexity of the cloud during traffic flow management is effectively reduced, and the management efficiency and the resource utilization rate are improved.

Packet switching operations in network devices are managed based on detection of excess rate traffic flows. A network device receives data units, determines the traffic flow to which the data units belong, and updates flow tracking information for the flow. The network device uses the tracking information to determine when the rate at which the network device is receiving data belonging to the flow exceeds an excess rate threshold and is therefore an excess rate flow. The network device can enable one or more excess rate policies for excess rate traffic flows. Such policies can include any number of features affecting how the device handles data units belonging to the flow, such as excess rate notification, differential discard, differential congestion notification, and reprioritization. Memory and other resource optimizations for such flow tracking and management are also described.

Systems and methods provide for user-specific task customizations using Al technology. A workflow management system can leverage multiple data sources using a crawler service that crawls the multiple data sources and standardizes data from the multiple data sources. The workflow management system builds a framework for unifying the multiple data sources to facilitate an efficient workflow. Using a standardized and unified data set, the workflow management system may generate and prioritize actionable tasks that incorporate information from the multiple data sources.

Fluid stream management systems and methods are described. An exemplar fluid stream management system includes a neural network connected to a cascading treatment processor. The neural network calculates an initial distant flow condition attribute value for a distant fluid treatment facility. The cascading treatment processor using hydrological information and the initial distant flow condition attribute value computes a predicted modified contribution value for the distant fluid treatment facility. The cascading treatment processor instructs multiple fluid flow controllers, each of which controls the operation of a flow-directing device such that a sum of the predicted modified total load value and a real time total load value of the distant fluid treatment facility is minimized. The real time total load value of the distant fluid treatment facility is based upon real time measurements obtained from one or more of the distant fluid treatment facility sensors.

The invention discloses a multi-service collaborative management system based on UE streaming. The multi-service collaborative management system comprises an automatic deployment module, a monitoring keep-alive module, an instance scheduling module, a log module, an interaction and command module and a distributed stream pushing module, a Coturn file directory and a PixelStreaming file directory are pre-integrated in the deployment management module, a WebSocket Server is built in the deployment management module, and a digital twin file directory is positioned through a configuration file or a distributed plug flow module and is used for service initialization and starting; the monitoring keep-alive module performs dual verification on the service survival state through a process handle and a WebSocket heartbeat packet; the instance scheduling module dynamically adjusts the number of digital twin application instances; the log module records and displays system operation related information; the interaction and command module provides console interaction and command operation functions; the distributed plug flow module is a subsystem capable of being deployed independently and cooperates with the main system to achieve cross-server management. The invention provides a multi-service collaborative management system and method based on UE streaming, and solves the problems of tedious deployment, poor stability, low resource utilization rate, difficult monitoring, limited expansibility and missing operation interaction in the existing UE streaming management.

The invention discloses a port entry information interaction method and system based on an interconnection and interworking platform, and belongs to the technical field of logistics management. The method comprises the following steps: determining a target wharf according to vehicle dispatching information, and generating a request message meeting the requirement of the wharf by combining a corresponding semantic mapping rule matched with the attribute of the target wharf; according to the health state of each communication link, screening out an available target transmission path set, carrying out adaptive packaging on the request message according to the link configuration of each path, and concurrently sending the request message to a target terminal TOS system through a plurality of paths; and performing semantic consistency verification on the response message data returned by each target transmission path, and if all the response message data pass the semantic verification, generating a state change event and sending the state change event to the logistics system. According to the scheme, through semantic mapping and multi-path concurrent transmission, it can be ensured that entry information can be interacted reliably and efficiently, and the compatibility of the system and the fault-tolerant capability during communication are enhanced.

This invention discloses a multi-stream SSD management method, apparatus, computer device, and storage medium. The method includes: responding to a request from a host to write multiple data streams; allocating the same host write block for the multiple data streams; adding a first timestamp to the allocated host write block; performing write operations on the multiple data streams; and saving the stream numbers at the time of writing the multiple data streams. This invention enables the mixed storage of different data streams on the same write block in a multi-stream scenario, avoiding the overhead of opening multiple write blocks, simplifying data maintenance, and improving data reliability.

The application provides a multi-flow task scheduling method and device of a hardware accelerator, equipment and a storage medium, and relates to the technical field of electric digital data processing. The method comprises the following steps: determining a plurality of flows based on a target task of the hardware accelerator, and obtaining an ID and a priority of each flow; storing all the flows into a red-black tree storage structure based on the ID and the priority of each flow; judging whether there is an event dependency relationship between the flows; if there is an event dependency relationship between the flows, determining an execution order of the plurality of flows based on the ID and the priority of the two flows with the event dependency relationship, and executing the target task of the hardware accelerator according to the execution order. The application can improve the flow management and scheduling efficiency, ensure that the key task flow can be quickly executed to reduce the delay, avoid the high-priority task flow waiting for the low-priority task flow, and improve the overall execution throughput of the task.

The application provides a method and system for stream storage management and persistence of files, and relates to the technical field of computer storage, which comprises the following steps: dividing a hard disk storage space into a plurality of file blocks with the same size to obtain a plurality of initial state unused file blocks; creating and managing a plurality of virtual domains based on the obtained plurality of initial state unused file blocks; allocating the plurality of initial state unused file blocks to different virtual domains for management; when a to-be-written file is received according to the established virtual domain, matching to the corresponding virtual domain based on the attribute of the to-be-written file, and allocating a target file block and a unique file serial number for the to-be-written file in the corresponding virtual domain; and generating a corresponding file ID based on the allocated target file block and unique file serial number. The application realizes low-latency, high-throughput and sequential read-write storage management of sequentially, massively and quickly continuously arriving stream files in application scenarios.

Systems and methods for a workflow manager to adaptively throttle service calls to service endpoints are disclosed herein, according to some embodiments. A system includes a plurality of service endpoints. The system also includes a workflow definition repository storing workflow definitions, where a workflow definition defines both tasks for a workflow to perform that corresponds to service calls to the service endpoints, and a dependency ordering between the tasks. The system also includes workflow execution nodes implementing workflow engine instances. A workflow engine instance executes a workflow according to a workflow definition. Responsive to health information indicating that a service endpoint is operating below a performance threshold, the workflow manager modifies workflow definitions using that service to incorporate a staging area. Instead of transitioning to a task that corresponds to a service call to the service endpoint, the workflow engine instances executing modified workflow definitions, transition to the staging area.

The invention discloses a streaming media management system based on edge intelligent security and protection equipment, and the system comprises a streaming media management module which is used for achieving the unified access, forwarding and playing, protocol conversion and alarm video synthesis of video streams in the edge intelligent security and protection equipment, and configuring a camera analysis strategy, the streaming media management module supports short video playback of an alarm triggered by a detection algorithm based on a single-frame image, and supports real-time watching and historical playback of a video stream after a detection result of a time sequence type detection algorithm is rendered; the AI analysis docking module communicates with the streaming media management module and an external AI video analysis end through a standardized interface; and the optional configuration item module is used for providing system-level basic configuration and extension configuration. According to the embodiment of the invention, unified access, forwarding and protocol adaptive conversion of multi-source video streams are realized, the concurrent processing and real-time playing performance of multi-channel videos is remarkably improved, automatic identification and storage of alarm events and short video synthesis are realized, and the intelligence and response efficiency of security and protection monitoring are improved.

The invention discloses a distributed protocol access equipment data flow high availability method, system and device, and the method comprises the steps: separating a management platform from a working node, and carrying out the unified management of a distributed deployment scheme; a core module framework is constructed, and access, data stream processing, signaling transparent transmission and virtual IP management of GB28181 protocol equipment are carried out; dynamic communication, real-time scheduling, load balancing and abnormal switching among different modules are carried out; demultiplexing and synchronization, stream protocol conversion, push-pull stream management and stream multiplexing / recovery of RTP streams pushed by GB28181 protocol equipment are carried out through a stream conversion module, and original stream data are converted into various formats; the dynamic IP distribution, mapping and master-slave switching functions of the virtual IP management module are utilized, and the registration redirection mechanism of the national standard unvarnished transmission gateway module is combined, so that video service transfer is carried out when the equipment access service is abnormal to ensure the high availability of the data stream, and the continuity and stability of the video data stream are ensured.

The application provides a non-volatile storage device cold and hot data shunt management method and device. In view of the mixed storage demand of real-time data and historical data in the industrial control scene, a dynamic shunt method based on logical space heat evaluation is proposed. By dividing the 512GB SSD user address space into 64000 logical spaces, using the exponential weighting algorithm to collect operation frequency data in real time, combining the DRAM history bidirectional list to generate the access order array, and calculating the comprehensive heat value. Based on the quantile coefficient, the threshold value is dynamically generated, the logical space with a heat value greater than the threshold value is allocated to the low-wear flash block with an erase number ≤5000, and the logical space with a heat value less than the threshold value is allocated to the high-wear block. The scheme realizes the substantial prolongation of the storage life, the reduction of the real-time instruction response delay, the adaptation to the mixed load characteristics of the high-frequency real-time and low-frequency archiving of industrial control, and ensures the balance between the data access efficiency and the storage reliability.

A network address assigned to a virtual network interface of a packet transformation node of a flow management service is identified. A packet of a particular network flow associated with an application implemented at an isolated virtual network is sent to the network address. Using a rewrite directive generated at a rewriting decisions node of the service and cached at the packet transformation node, a transformed packet corresponding to a packet received at the packet transformation node is generated and transmitted to a destination.

The invention provides a live broadcast stream management method and device, equipment, a medium and a program product. A specific embodiment of the live broadcast stream management method in the application comprises the steps of receiving a live broadcast service attribute configuration request sent by a user, wherein the live broadcast service attribute configuration request comprises a live broadcast session identifier and a live broadcast service attribute tag; determining a live broadcast service function dimension to which the live broadcast service attribute tag belongs; dynamically configuring a live broadcast service attribute tag for a live broadcast stream in a live broadcast session corresponding to the live broadcast session identifier based on the live broadcast service function dimension; determining a node capability label corresponding to the live broadcast service attribute label; and sending the live broadcast stream configured with the live broadcast service attribute tag to the node configured with the node capability tag. According to the embodiment, the problems of disordered live broadcast service attribute management and function conflict in a traditional architecture are solved, and the stability and resource utilization efficiency of a live broadcast link are guaranteed through accurate node matching and dynamic scheduling.

To alleviate congestion caused by the concentration of building users in elevators at different times of the day by appropriately adjusting and encouraging changes in user behavior.SOLUTION: A system acquires human flow data representing values as actual measurements of the number of users, and calculates a plurality of shift specifications using the acquired human flow data. For each of the plurality of shift specifications, the system calculates an estimate of the number of users after the elevator usage time change according to that shift specification, calculates a reduction evaluation value, which is the reduction in the number of elevator users itself or a value based on such reduction, from the measured and estimated values, and calculates a shift evaluation value, which is a value based on the amount of behavioral change itself or the amount of such behavioral change due to a change in the elevator usage time of users. The system selects a shift use based on the reduction and shift evaluation values for each shift use and outputs change information representing the selected shift specification.SELECTED DRAWING: Figure 1

The invention relates to the technical field of logistics management, in particular to a task management and control configuration method, system and device and a medium, and the method comprises the steps: obtaining event configuration information, and constructing an integrated information database according to the event configuration information; acquiring real-time data information, and analyzing the real-time data information according to the integrated information database to obtain an abnormal result; the to-be-executed information is matched according to the exception result, and the action is executed according to the to-be-executed information, so that exception processing is more targeted, and the control accuracy and efficiency are improved.

Systems, methods, and storage media for automated workflow management are disclosed, where the method comprises: identifying, for a protected environment, a plurality of tiers, including at least a first tier and a second tier lower than the first tier; identifying a plurality of tenants operating within the protected environment, where each tenant is associated with one of the plurality of tiers; identifying a plurality of work items (WIs); identifying one or more tasks to be performed for each WI; determining a work type for each WI; automatically assigning each task for each WI to at least one entity, where the assigning is based on determining at least one entity for performing the respective task, and where the determining the at least one entity for each task is based on a tenant and a tier associated with the respective task and / or the respective work item type.

The invention relates to a virus file detection method and device based on a flow management mechanism. The method comprises the following steps: performing flow distribution processing on a network data packet based on a flow management mechanism so as to divide the network data packet into file flows; performing stream order-preserving processing on the file stream based on a stream management mechanism so as to distribute the file stream to a target CPU processor in a plurality of CPU processors; in each CPU processor, when a preset intelligent triggering condition is met, performing batch parallel abstract calculation on the file stream based on the SIMD instruction to obtain an abstract value; comparing the abstract value with a preset virus feature library to perform virus file detection; and executing corresponding security processing according to a comparison result. According to the virus file detection method and device based on the flow management mechanism, the throughput of abstract calculation can be remarkably improved, the detection delay is reduced, and the virus file detection capability of network equipment can be improved under the condition that the memory is not increased.

The application is suitable for the field of data management, and provides a front-end AI conversation data management system and a method thereof.The system comprises an asynchronous data stream management module, a state management module, a streaming data control module, a Markdown rendering engine and an extension module.The application has the beneficial effects that the asynchronous data stream management module realizes efficient synchronization of data between the front end and the back end, significantly reduces data processing delay, the state management module ensures consistency of the user interface and the back-end data, optimizes user experience, the built-in advanced Markdown rendering engine supports multiple custom syntaxes, so that the output content of the AI can be flexibly personalized rendered, and the modular design is adopted, so that the system can be customized and extended according to business requirements and is suitable for different application scenarios.

Systems and methods provide for user-specific task customizations using Al technology. A workflow management system can leverage multiple data sources using a crawler service that crawls the multiple data sources and standardizes data from the multiple data sources. The workflow management system builds a framework for unifying the multiple data sources to facilitate an efficient workflow.

Techniques discussed herein include dynamically providing synchronous and / or asynchronous data processing by a machine-learning model service. The machine-learning model service (“the service”) executes a stream manager application, a web interface, and a machine-learning model via a common container. The stream manager application can obtain input data (e.g., from an input data stream, a partition of an input data stream, etc.) and provide the data to the machine-learning model through the web interface using a local communication channel (e.g., a loopback interface that bypasses local network interface hardware of the computing device on which the model executes). Prediction results from the model may be provided as output data (e.g., to an output data stream, to a partition of an output data stream, etc.).