74 results about "Stream management" patented technology

In embodiments described herein, one or more stream classifications are incorporated into a plurality of flows within a network. These flows can have a number of characteristics associated with it, such as, but not limited to quality of service requirements that can dictate how the flow should be processed. A device associated with the flow can transmit a stream classification service (SCS) request. This SCS request can be received and processed to determine a scheduling behavior that should be adopted by various network device / nodes associated with the flow. The scheduling behavior can be transmitted to those network devices which can then modify the processing of the flow(s). In some cases, the network device can classify the packets associated with the flow(s) and prioritize them. In additional cases, the network device can generate one or more new queues that can be configured to best serve the requirements of the flow.

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.

The invention provides a current limiting management method, system and device applied to a real-time database and a medium, and the method comprises the steps: obtaining the performance index data of a database system and the application load information of each business process, training based on the historical performance index data and the application load information to obtain a prediction model used for predicting the working state of the database, predicting a database working state in a preset time window corresponding to the current data on the basis of the prediction model so as to perform flow limiting management on a plurality of service processes corresponding to the current application load information on the basis of a prediction result; according to the method, the current service processes are subjected to current limiting management by predicting the future working state, so that the important service processes are guaranteed to be smoothly realized, and a more stable, efficient and easy-to-maintain database environment is provided for a user through intelligent management and resource optimization.

The invention discloses a zero-code heterogeneous data integration method. The method comprises the following steps: S1, configuring a multi-source data connector; s2, processing differences of different data formats and structures by adopting an adapter mode; s3, performing data cleaning; s4, performing data conversion; s5, loading the converted data into a target database or a data warehouse, and adopting a partition loading and incremental updating strategy; s6, providing a graphical user interface, and constructing a data integration workflow by dragging the component and connecting the data flow; s7, providing a visual workflow management tool, and supporting workflow version control, collaborative editing and parallel processing; s8, realizing an automatic workflow scheduling system, and supporting timed tasks and event driving; s9, performing data consistency check and integrity verification; and S10, a modular and extensible system architecture design is adopted. A zero code integration method is adopted, efficient integration of heterogeneous data sources is achieved, and the method has the advantages of being high in usability, high in processing efficiency and capable of guaranteeing data quality.

The invention discloses a traffic flow management method combining dynamic and static induction information in a complex traffic environment, and the method comprises the steps: constructing a temporal-spatial data cube containing a temporal label, fusing static road network constraints (forbidding rules and lane attributes) with dynamic real-time data (flow and events), purifying abnormal data through a double-layer verification mechanism, and guaranteeing the compliance. Based on a hierarchical multi-objective optimization model, an NSGA-AM algorithm with an attention mechanism is adopted, a Pareto optimal induction strategy considering travel time, carbon emission and road network fairness is generated, the calculation complexity is reduced to O (NlogN), and the strategy generation time is less than 10 ms. Through a three-level feedback mechanism (immediate response, short-term adjustment and long-term evolution) of edge computing and cloud collaboration, system self-evolution is realized, and traffic environment changes are dynamically adapted. Experiments show that according to the method, the violation induction rate is reduced from 15% to 2% or below, the average travel time is reduced by 18%-25%, carbon emission is reduced by 12%-18%, the passing efficiency and safety of a complex road network are remarkably improved, and the method is suitable for engineering application of an intelligent traffic system.

The present application relates to the technical field of workflow management, and discloses a cross-system digital workflow integration system, and a workflow management method and system. The method comprises: acquiring a customized workflow configuration table, and analyzing the customized workflow configuration table to determine logic control information; and on the basis of logic control information, performing management configuration on a default cyclic approval workflow template to generate a digital workflow. The present application can effectively improve the approval efficiency and reduce the error rate, so that the approval requirements of different service scenarios are met.

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.

Techniques are disclosed for a smart network interface card (smartNIC) performing a unified logging process. In one example, an accelerator transmits a packet to a programming data plane of the smart network interface card. The programming data plane determines whether the packet is to be forwarded. In accordance with a determination that the packet is not be forwarded, the programming data plane modifies the packet to include an instruction that instructs the accelerator to log the packet and to not forward the packet. The programming data plane transmits the modified packet to the accelerator. The accelerator logs data associated with the modified packet to a unified log based at least in part on the instruction.

The present patent application discloses a data analytics system with a split plane architecture that utilizes a workflow management module in a control plane for cloud-based computing. The system receives workflow files from client devices and stores those workflow files in a cloud storage associated with the user. The data plane, which executes the workflow file, retrieves the file directly from the cloud storage or through an API provided by the workflow management module. A workflow engine wrapper, containing a stager system and an execution system, prepares workflow files for execution and stores generated results in the cloud storage.

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 present invention relates to systems and methods suitable for real-time streaming over a decentralized or centralized network. In the decentralized network, the present invention relates to a system and method that utilizes a block-chain distributed network to securely and reliably stream multimedia in real-time. In the centralized network, the present invention utilizes a centralized stream manager to manage nodes within the distributed network to securely and reliably stream multimedia in real-time.

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 present application relates to the technical field of storage management, and discloses a multi-stream management method for application data and a flash memory device. The method comprises: clustering data having similar compression ratios to generate a plurality of software streams; estimating the life cycle of each software stream, so as to map the software streams having similar life cycles into a same hardware stream; and storing, in storage positions corresponding to the hardware streams, data corresponding to the software streams. According to the present application, on the basis of compression ratios, application data having similar life cycles is further stored in storage positions corresponding to hardware streams, so as to mitigate the write amplification problem of the flash memory device.

The invention provides a workflow management apparatus and a workflow management method, which manage a plurality of types of locks in a workflow in an organization. A workflow management device according to the present invention is characterized by comprising: an input / output processing unit that receives workflow information relating to a workflow from the course of a file to the approval and lock information that presets whether or not to lock an operation on the file; and a workflow management unit that accepts an operation on the file during the flow of the workflow based on the workflow information, and determines whether to lock the accepted operation by referring to the lock information.

Example embodiments relate to a network-based workflow system, employed for receiving workflows, defining one or more data-object types based on the workflows, generating data-objects, assigning a workflow from among the one or more workflows to the data-object, and managing the data-object through various states of based on the workflow. As discussed, a “workflow” refers to orchestrated and repeatable patterns enabled by a systematic organization of resources into processes that transform and modify presentations of data-objects based on corresponding data-object states. A workflow may therefore comprise a set of states, wherein each state is linked to another state by one or more transitions, and wherein the transitions are associated with a set of events which may occur at each state.

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.).

The invention provides a multi-stream 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 steps of determining a plurality of streams based on a target task of a hardware accelerator, and obtaining an ID and a priority of each stream; all the streams are stored in a red-black tree storage structure based on the ID and the priority of each stream; judging whether an event dependency relationship exists between the streams or not; and if the event dependency relationship exists between the streams, determining an execution sequence of the plurality of streams based on the IDs and priorities of the two streams having the event dependency relationship, and executing the target task of the hardware accelerator according to the execution sequence. According to the method, the flow management and scheduling efficiency can be improved, the key task flow can be quickly executed, delay is reduced, the situation that the high-priority task flow waits for the low-priority task flow is avoided, and the throughput of overall task execution is improved.

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.

The systems and methods described herein use a tag for collecting data associated with a content object of a content page. The tag may be a universal tag which can provide a single point of data collection and thereby reduce the number of network requests due to piggyback tags. The data collected from the content page may be communicated to a stream management system which can process the data and split the data into multiple data streams to be fed to a downstream system. The downstream system can further process the data and communicate to another downstream system. In some embodiments, the stream management system can access the repositories of its downstream system and veto the data flows created by the downstream system.

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.