50 results about "Event scheduling" patented technology

The invention belongs to the technical field of network attack and defense simulation, and discloses a network attack and defense simulation engine system based on discrete event driving, which comprises an event scheduling module, a simulation network construction module, an attack and defense simulation module, a simulation kernel module and a panoramic situation awareness module, the event scheduling module is in the form of MITRE ATTamp; the CK is constructed as a theoretical base and is used for converting all network activities into a dispatchable discrete event sequence; the network activities comprise data packet sending, protocol timeout and attack triggering; and the simulation network construction module can construct a simulation network containing complete service logic. According to the application, the MITRE ATTamp is scheduled by the event scheduling module; the CK tactical intention is converted into an ordered event stream, a hierarchical task network planner in the attack and defense simulation module dynamically decomposes and re-plans a high-level target, and ATTamp can be utilized; and the CK technology ID reconstructs an attack chain in real time.

The invention discloses a visual asynchronous event triggering and calling method based on a medical information system, which comprises the following steps of: asynchronously acquiring multi-source data streams such as clinical events, equipment monitoring, doctor advice execution and patient states in the medical information system to form a multi-source asynchronous medical data stream set; generating a system event triggering association group based on the set and creating an asynchronous event scheduling strategy table; performing system event association degree calculation on the data stream to obtain a multi-dimensional asynchronous event association matrix; and carrying out system asynchronous time delay compensation and event chain visualization processing on the incidence matrix based on the scheduling strategy table, and finally generating a dynamic asynchronous event correlation topological graph. According to the invention, by constructing a system event detection operator set, establishing cross-flow system relevance calculation and establishing a priority-based asynchronous scheduling optimization mechanism, intelligent triggering, calling and early warning functions of medical system events are realized.

The invention discloses a customer service event dynamic scheduling method based on time sequence modeling, and the method comprises the following steps: S1, collecting heterogeneous original data, and constructing a service event sequence; s2, inputting the service event sequence into an improved Transform model, and outputting an event semantic feature vector; s3, constructing a multi-scale time window, and generating a time feature vector array; s4, splicing the event semantic feature vector and the time feature vector to generate a joint feature vector; s5, inputting the joint feature vector into an improved decision tree integration algorithm, generating a scheduling priority score value, and recording a decision path and a corresponding feature node index; s6, executing a service event queue operation, and generating a service event scheduling list; and S7, acquiring service event execution feedback information, and updating parameters. According to the method, time sequence modeling, feature scoring and feedback optimization mechanisms are fused, and intelligent recognition, efficient sorting, interpretable scheduling and dynamic evolution of customer service tasks are achieved.

Systems and methods are provided for receiving a selection to add an event invite media overlay to a media content item, receiving content to be added to the event invite media overlay, the content corresponding to an event, and adding to the event invite media overlay, the content corresponding to the event to generate a custom event invite media overlay. The systems and methods further comprise causing display of the custom event invite media overlay on the media content item, receiving at least one user to which to send an invite to the event, and sending, to a second computing device associated with the at least one user, an invite to the event, the invite comprising the custom event invite media overlay and the media content item.

The invention relates to the technical field of pop-up window management, and discloses a cross-platform pop-up window management and scheduling optimization method, which comprises the following steps: collecting pop-up window state information of a cross-platform pop-up window event, and carrying out cross-platform alignment, serialization processing and feature extraction on the pop-up window state information; evaluating a priority weight and an interference coefficient of the cross-platform popup event by using a popup event value evaluation function, and generating a popup event conflict graph; carrying out self-adaptive scheduling on the cross-platform pop-up window events by adopting a pop-up window event self-adaptive scheduling algorithm, and outputting an optimal pop-up window event scheduling sequence; and issuing the optimal popup event scheduling sequence to a popup event execution module of each platform for popup display. According to the method, unified modeling, value evaluation, conflict perception and self-adaptive scheduling of cross-platform popup events are achieved, the popup display sequence and the deduplication strategy are cooperatively controlled in the multi-terminal platform environment, repeated interference is avoided, user experience is optimized, and overall optimization of cross-platform popup management and scheduling is achieved.

The application discloses a kind of space-time hidden variable topological simulation dataset generation methods for flexible interconnected distribution network, comprising: constructing the double-layer topological structure including discrete switch layer and continuous modulation parameter layer, obtain the extended basic simulation model;Based on the extended basic simulation model, the probability double-track data generation mechanism of implicit node is established, the full observation topological model and the partial observation topological model are maintained synchronously, and the initialized double-track output structure is obtained;The initialized double-track output structure is input into the event scheduling engine with causal chain label, and the event direct layer update, power flow calculation layer update and feature evolution layer update are sequentially executed at each time step, to obtain node electrical characteristics, topological state and causal label array;The above data is aligned and packaged according to time step index, and the simulation dataset is output.The application provides high-quality simulation data basis for power distribution network topology identification and other artificial intelligence tasks.

Systems and methods are provided for receiving a selection to add an event invite media overlay to a media content item, receiving content to be added to the event invite media overlay, the content corresponding to an event, and adding to the event invite media overlay, the content corresponding to the event to generate a custom event invite media overlay. The systems and methods further comprise causing display of the custom event invite media overlay on the media content item, receiving at least one user to which to send an invite to the event, and sending, to a second computing device associated with the at least one user, an invite to the event, the invite comprising the custom event invite media overlay and the media content item.

A method of scheduling engineer appointments in a database, comprises determining predicted appointment demand in a particular region for a future time period; identifying, from the database, engineer

The embodiment of the invention discloses a schedule management system and method, and the method comprises the following steps: building a digital duplication model of parameter personnel based on basic information, obtaining a plurality of schedule arrangement schemes based on the digital duplication model, and obtaining a plurality of schedule arrangement schemes based on the schedule feedback data and historical competition watching behavior data of audiences. Constructing an audience preference model; and based on the audience preference model, taking the causal increment income as a weight factor in an optimization objective function, combining a fairness constraint, a site resource constraint and a time conflict constraint, and optimizing the schedule arrangement scheme according to a multi-objective optimization algorithm to generate an optimal schedule arrangement scheme. The technical problems that the competition scheduling efficiency is low, the performance of athletes is difficult to predict, the audience participation degree lacks scientific evaluation, and the competition schedule optimization result is not ideal are solved.

A computer-implemented method for scheduling appointments comprises, maintaining a schedule of appointments, including locations, in a database; receiving an appointment request with a target location

The application relates to the technical field of data processing, and discloses an outdoor LED media delivery intelligent scheduling and operation management system and method, which comprises a global contract pool module, a discrete event elastic buffer module, a discrete event scheduling decision module, a local cache processing module and a front-end multimedia release control module; the discrete event scheduling decision module adjusts target scheduling weights according to audience flux real-time monitoring data, and triggers a control rule network programming scheduling word in segments; and the local cache processing module locks an external writing interface and switches to a self-maintaining annular static scheduling queue when data handshake time delay exceeds a limit, the application dynamically restricts contract priorities through audience flux real-time monitoring data, effectively reduces power loss caused by non-steady flow of passenger flow, and precisely offsets the risk of memory overflow under a link congestion working condition.

This invention discloses an event scheduling method, system, electronic device, and storage medium, comprising: when a business layer produces a request message, injecting a specific identifier of a target characteristic environment into the event attribute parameters of a first request message, and sending the modified first request message to a production component; the production component, based on the event attribute parameters of the first request message, converting the first request message into an MQ protocol message body including the specific identifier and writing it to a message middleware; a consumption component listening to the MQ protocol message body from the message middleware, converting the MQ protocol message body into a second request message carrying the specific identifier, and sending the second request message to the business layer; and the business layer routing the second request message to the target characteristic environment for consumption based on preset routing rules and the specific identifier. This ensures that request messages generated in the target characteristic environment are ultimately consumed in the target characteristic environment, i.e., that specific request messages are consumed by specific characteristic environments.

The application belongs to the technical field of network attack and defense simulation, and discloses a network attack and defense simulation engine system based on discrete event driving, which comprises an event scheduling module, a simulation network construction module, an attack and defense simulation module, a simulation kernel module and a panoramic situation awareness module; the event scheduling module is constructed based on MITRE ATT&CK as a theoretical base and is used for converting all network activities into a schedulable discrete event sequence; the network activities comprise packet sending, protocol timeout and attack triggering; the simulation network construction module can construct a simulation network containing complete business logic. The application can convert the MITRE ATT&CK tactical intention into an ordered event stream through the event scheduling module, and can simultaneously perform dynamic decomposition and re-planning on a high-level target through a hierarchical task network planner in the attack and defense simulation module, and can also reconfigure an attack chain in real time by using an ATT&CK technology ID.

This invention provides a multi-link device scheduling and control method, system, and routing device, relating to the field of routing device resource scheduling and control. In the link scheduling process, this method uses the virtual runtime and the number of ready events of each connected link to calculate the resource scheduling value to obtain the target connected link, fully considering the resource scheduling situation of multiple link devices and achieving effective arbitration between links. In the event scheduling process, the method uses the event deadline to perform batch scheduling processing of target events in the target connected link, significantly reducing context switching and improving resource processing efficiency.

The present invention provides a technique for automatically generating and managing an event having a high promotional effect.　This automatic promotional service system executes the steps of: receiving information relating to a product for sale and a sales plan for the product; causing a generative AI to generate, on the basis of the received information, an event plan for promotional activities to make the product widely known on the Internet; and executing the event plan. The automatic promotional service system may further execute the step of causing the generative AI to generate candidate event plans, and the event plan may be selected from among the candidate event plans.

The invention belongs to the technical field of operation and maintenance management, and relates to a soft keyboard event scheduling method and device, equipment and a storage medium thereof. The soft keyboard event is monitored through the preset event monitor, and the corresponding soft keyboard event is executed by adopting the event proxy function mode according to the monitoring result, so that the soft keyboard event is reasonably scheduled in the event manager, the monitor and the proxy processing mode, and later unified maintenance and management by operation and maintenance personnel are facilitated. The soft keyboard event scheduling method is applied to soft keyboard event scheduling and management in a financial or medical online business processing platform, the soft keyboard event can be reasonably scheduled, and operation and maintenance personnel can conveniently carry out later unified maintenance and management.

Apparatus and associated methods relate to automatically generate an interactive display for event scheduling based on a maximum expected wait time at a user selected trigger time. In an illustrative example a central orchestration engine (COE) may generate, in response to a request for service with a maximum wait tolerance (MOT) from a service seeking entity (SSE), a display of available time slots for the requested service. The COE may, for example, generate an array of service providers (SPs) as a function of a geofence filter. For each SP, the COE may generate an expected wait time (EWT) based on an anticipated service flow at the SP. The COE may, for example, select and display available time slots of the SPs with the EWT less than the MOT. Various embodiments may, for example, advantageously present an interactive display of available time slots at one or more SPs for selection.

This disclosure relates to an event scheduling method, apparatus, electronic device, and storage medium. The method includes: responding to a publication request for a target event, determining a target topic corresponding to the event type of the target event; determining a target consumer node corresponding to the target event from one or more preset consumer nodes based on the target topic and the current load of message partitions corresponding to one or more preset consumer nodes; the message partition corresponding to the preset consumer node is obtained by the preset consumer node registering in a corresponding topic, the corresponding topic representing the topic corresponding to the event type of the preset consumer node, and the event type of the preset consumer node representing the event type corresponding to the events that the preset consumer node can process; and publishing the target event to the target message partition corresponding to the target consumer node. The technical solution provided by the embodiments of this disclosure determines the target consumer node when the target event is issued, which is beneficial to improving the throughput of the scheduling system.

The invention discloses a hardware event group scheduling method for a computer processor performance monitoring unit. The method comprises the following steps: S1, acquiring an event group set and the number of counters; s2, performing descending sorting on the event groups according to the number of events by using a non-incremental sorting strategy; s3, initializing an empty round; s4, iteratively distributing the event group to an existing round or creating a new round; and S5, outputting the round set of the existing round or the new round obtained in the step S4 as a scheduling scheme of the event group on a performance monitoring counter, and the method has the advantages that a hardware event group scheduling problem is converted into a one-dimensional boxing problem, and a non-incremental sorting strategy and an iterative greedy distribution strategy are utilized, so that the time complexity of a hardware event scheduling process is remarkably reduced, and the scheduling efficiency is improved. A low-overhead and high-precision performance data observation scheme is constructed, on the premise that accuracy is guaranteed, efficient execution of large-scale performance analysis tasks is achieved, and performance monitoring efficiency and system performance observation precision are improved.

A scheduling system for scheduling engineer appointments is disclosed. The system comprises a database storing a scheduling data model, the data model defining a plurality of daily schedules for a plurality of engineers, wherein each daily schedule is associated with a given engineer and a given date and comprises data specifying a geographical coverage area and a schedule of appointments for the given engineer on the given date. A scheduling interface is arranged to receive an appointment request, the appointment request identifying a target location for an appointment. A scheduling module is arranged to search the scheduling data model to select one or more daily schedules having a geographical coverage area that includes the target location and identify locations of a set of existing appointments scheduled on the selected daily schedules. Travel times between the target location and each of the identified locations of the existing appointments are then determined. At least one of the daily schedules is selected based on the computed travel times and the appointment is added to one of the selected daily schedules.

The invention provides an Internet of Things event scheduling method and device and a computer readable storage medium, and the method comprises the steps: S1, obtaining a basic event to be generated by predetermined equipment and a first predetermined schedule corresponding to the basic event, the basic event comprises a first attribute for performing on-off control and first adjustment on the predetermined equipment; s2, acquiring a context event to be generated by the predetermined device and a second predetermined schedule corresponding to the context event, wherein the context event comprises a second attribute for performing second adjustment on the predetermined device; s3, when the second predetermined schedule and the first predetermined schedule are overlapped, performing attribute collection on the first attribute and the second attribute to generate a third attribute; and S4, generating a control instruction for controlling the predetermined equipment in the first predetermined schedule based on the third attribute. The Internet of Things event scheduling method provided by the invention can avoid the problems of creating excessive rules and disordered management.

The application provides a satellite network time hopping simulation method, system and device based on event scheduling, which comprises the following steps: sequencing and storing events according to the simulation time of topology and link attribute change events; registering and establishing a mapping relationship between real time and simulation time; performing a simulation running step on the event sequence, which comprises the following steps: scheduling the event sequence based on the mapping relationship; determining whether a jump request initiated by a user is received; if the target simulation time and the jump request are received, dividing the event sequence into a historical event set and a future event set; screening the historical event set to obtain a target historical event and performing the target network state reconstruction; remapping and registering the future event set; synchronizing the target network state to make the protocol converge to the target network state, and performing the simulation running step. The application can effectively solve the problem of low simulation efficiency and insufficient flexibility of the existing satellite network virtualization simulation platform in a long time scale.

A cell manufacturing management platform facilitates management of a cell manufacturing process. The cell manufacturing management platform tracks events associated with a cell manufacturing process and coordinates between disparate entities involved in the process. The cell manufacturing management platform utilizes machine learning techniques to generate inferences associated with event scheduling in a manner that optimizes an efficiency metric and reduces likelihood of exceptions occurring. Machine learning models may furthermore be used to generate various alerts or other actions associated with the process. A user interface enables different participating entities to track progress of the process and upcoming events.

This invention relates to the field of resource allocation and task scheduling technology, and provides a method and device for intelligent event scheduling based on scheduling strategies. The method includes: configuring capability weights for each grid member; calculating their task allocation ratio within their respective grid based on these capability weights; storing the task allocation ratio, the total number of tasks in the grid within a period, and the number of tasks already allocated to each grid member as strategy data; triggering a scheduling process in response to a new event entering the system and being associated with a specific grid, and obtaining the strategy data corresponding to that grid; calculating the real-time availability index of each grid member within the specific grid based on the obtained strategy data, and selecting the grid member with the highest real-time availability index value as the target grid member; allocating the new event to the target grid member, and updating the number of tasks already allocated to that grid member in the strategy data. This invention can improve the rationality and execution efficiency of task allocation, and effectively ensure the compliance of long-term allocation strategies and the balance of the system.

A computer-implemented method for scheduling appointments in a scheduling database is disclosed. Appointments are scheduled using travel times obtained from a query module. The query module processes queries for travel times between locations using a cache of computed travel times, comprising: determining whether a travel time corresponding to a query is stored in the cache; replying to the query using the cached travel time if present in the cache; and if not present in the cache, invoking a computation module to compute the travel time, store the computed travel time in the cache and reply to the request using the computed travel time.

The invention relates to a model dynamic migration decision-making method based on parallel discrete event scheduling. The method comprises the following steps: acquiring multi-dimensional load data of each model in the distributed system; constructing a hybrid prediction model, inputting each piece of multi-dimensional load data into the trained hybrid prediction model, establishing a mapping model of task load and operation time for each simulation event scheduler according to an output load prediction result, dynamically updating parameters of the mapping model by adopting an incremental learning strategy, and obtaining predicted operation time of the simulation event scheduler; constructing a dynamic migration model by taking a scheduler operation time variance in the engine operation process as a target and taking a model unique mounting constraint, a self-migration prohibition constraint and a migration logic coherence constraint as constraint conditions; and solving the dynamic migration model by taking the predicted running time of each simulation event scheduler as a decision basis, and outputting an optimal model migration scheme. By adopting the method, the operation efficiency and the simulation precision of the simulation system can be improved.

The invention provides a front-end and back-end event linkage interaction method and system, and the method comprises the steps: constructing an event linkage data structure, and configuring node information for each node in the event linkage data structure; obtaining a plurality of interaction nodes based on a pre-obtained user demand, and generating a rendering array according to the plurality of interaction nodes; binding a monitoring event to each interaction node in the rendering array based on a pre-acquired user demand, and constructing an event scheduling center to trigger and link the monitoring event to obtain a to-be-rendered event linkage data structure; sending the event linkage data structure to be rendered to a rear end for storage; and when a user demand update request is received, receiving a to-be-rendered event linkage data structure sent by a rear end, and rendering and restoring the event linkage data structure. The problem of poor event linkage interaction reliability in the prior art is solved. According to the method, the event linkage interaction reliability is improved by designing a unified data structure and a unified logic scheduling mechanism.

Media, methods, and systems are disclosed for mitigating network resource contention. Event scheduling details are received regarding one or more virtual events. In response to determining that an upcoming virtual event will begin within a predetermined time threshold, various steps are performed. First, a predicted number of event participants is determined. Next, database artifacts associated with the upcoming virtual event are prefetched. Then static event display resources are accessed prior to a start of the upcoming virtual event, and the database artifacts and the static event display resources are cached. A network protocol request to access network resources is received from a client device. The database artifacts and the static event display resources are pushed to a client-side cache associated with the client device, and a minimal network response is transmitted to the client device.

A method of scheduling engineer appointments in a scheduling database is disclosed. The scheduling database is adapted to store data defining scheduled appointments and engineers available for scheduling. The method includes: determining demand data specifying a predicted appointment demand for a geographic region for a future scheduling period; identifying from the database a plurality of engineers available for scheduling in the region during the future scheduling period; computing, based on the demand data and the identified available engineers, coverage data for each identified engineer, the coverage data indicating a geographic coverage area for the engineer during the future scheduling period; and scheduling one or more appointments in the scheduling database for the future scheduling period in dependence on the coverage data.

Disclosed herein are related to systems and methods for scheduling network operations with synchronized idle slots. In one aspect, a system includes a first data path to provide a first set of packets and a second data path to provide a second set of packets. The system also includes an arbiter to arbitrate the first set of packets and the second set of packets. The arbiter may be configured to receive a request for a task, where the task may be performed during a clock cycle. Based on the request, the arbiter may cause a scheduler to schedule a first idle slot for the first data path, and schedule a second idle slot for the second data path. The arbiter may provide the first idle slot and the second idle slot.