269 results about "Orchestration" patented technology

Some implementations of the disclosure provide a computer-implemented method including operations of receiving, by an orchestration agent, user input corresponding to a user question, wherein generating a response to the user question includes one of generating, editing, or refining programming code, and generating, by the orchestration agent, a prompt instructing a first sub-large language model (LLM) to perform a first task. In response to the prompt, generating, by the first sub-LLM, instructions for a second sub-LLM to perform a second task, wherein results of performing the second task by the second sub-LLM are provided to the first sub-LLM and performing, by the first sub-LLM, the first task utilizing the results of the second task generated by the second sub-LLM. An additional operation includes generating, by the orchestration agent, a GUI that displays the response to the user question, wherein the response includes or is based on the programming code.

A system for context-sensitive orchestration of autonomous agents in cloud platforms, consisting of: a hardware-based orchestration device configured for integration into a distributed cloud infrastructure; a context inference engine within the orchestration device, wherein the context inference engine is configured to receive and aggregate real-time telemetry data from a variety of distributed nodes, including at least one system-level parameter, at least one application-level parameter, and at least one environment parameter; a semantic inference module within the context inference engine, configured to generate a context-related state representation by correlating the parameters using a knowledge graph-based model of interdependencies; an optimization unit for machine learning within the orchestration device, which is communicatively connected to the context inference engine and is configured to predict resource requirements and operational states using reinforcement learning models trained on historical and real-time data streams; a policy-driven orchestration controller configured to translate the contextual state representation into actionable orchestration decisions by applying dynamic orchestration policies stored in a domain-specific policy repository; and a distributed agent interaction bus configured to delegate orchestration decisions to a variety of autonomous agents deployed on the cloud platform.

The invention provides a multi-modal data situation intelligent arrangement system and method, and relates to the technical field of data arrangement. The system comprises a dynamic heterogeneous data fusion module, an intelligent situation arrangement module and an incremental situation analysis module. And the dynamic heterogeneous data fusion module maps the multi-modal data flow into a hypergraph structure with dynamic weight through a semantic hypergraph fusion method of spatio-temporal context perception. And the situation intelligent arrangement module generates an evolution path of the cross-modal situation according to the node association strength and the semantic similarity in the hypergraph structure. And the incremental situation analysis module performs multi-granularity situation prediction and anomaly detection on an evolution path through hypergraph tensor decomposition and an attention mechanism, and dynamically optimizes an arrangement strategy. The method can be used for rapidly generating a large-screen situation display page of a data track and a situation thermodynamic diagram, high-speed situation arrangement and updating are achieved, and visual and dynamic support is provided for commanding and decision making.

Various systems and methods for implementing intent-based orchestration in heterogenous compute platforms are described herein. An orchestration system is configured to: receive, at the orchestration system, a workload request for a workload, the workload request including an intent-based service level objective (SLO); generate rules for resource allocation based on the workload request; generate a deployment plan using the rules for resource allocation and the intent-based SLO; deploy the workload using the deployment plan; monitor performance of the workload using real-time telemetry; and modify the rules for resource allocation and the deployment plan based on the real-time telemetry.

The invention provides a cloud resource arrangement method, a cloud resource arrangement device and a computing device cluster. The method comprises the following steps: providing a plurality of second codes provided based on a plurality of cloud platforms to a user to generate a first code, wherein each second code is used for generating an arrangement model for arranging cloud resources; a first arrangement model generated by the user based on the first code is received, the first arrangement model comprises one or more cloud platform identifiers, the one or more cloud platform identifiers indicate one or more first cloud platforms in the multiple cloud platforms, and a second code of the first cloud platform conforms to the first code rule; according to the first code rules corresponding to the one or more first cloud platforms, the first arrangement model is converted into second arrangement models corresponding to the one or more first cloud platforms, and the second arrangement models corresponding to the first cloud platforms are used for arranging cloud resources of the first cloud platforms.

Systems and methods for hierarchical workspace orchestration are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory, the memory having program instructions stored thereon that, upon execution, cause the IHS to: receive first one or more files from a workspace orchestration service, where the first one or more files are usable by the IHS to instantiate a first workspace; and provide second one or more files from the first workspace to a first peripheral device, where the second one or more other files are usable by the first peripheral device to instantiate a second workspace, where the second workspace is configured to provide third one or more files to a second peripheral device coupled to the first peripheral device, and where the third one or more files are usable by the second peripheral device to instantiate a third workspace.

The present application provides a message-driven microservice dynamic orchestration method and related equipment. The method is applied to a microservice dynamic orchestration system, wherein the system includes multiple microservices, and the method includes: obtaining the impact factor of the microservice from the business message; generating the process orchestration data of the microservice according to the message subject preset by the microservice and the impact factor, and storing the process orchestration data in a cache center; allowing each of the microservices in all the microservices to read the process orchestration data from the cache center and determine the next microservice connected to it according to the process orchestration data. The method provided by the present application realizes the dynamic orchestration of microservices, and there is no need to change or restart the microservice when adjusting the microservice call link, thereby ensuring the work efficiency of the system, reducing the difficulty of system maintenance, and solving the problem that the microservice call link is difficult to adjust.

Systems and methods for detecting security attacks using workspace orchestration logs are described. In some embodiments, a workspace orchestration server may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution, may cause the server to: maintain a first workspace orchestration log, receive a second workspace orchestration log from a client Information Handling System (IHS), and identify the security attack, at least in part, in response to a discrepancy between the first and second workspace orchestration logs.

A federated orchestration system includes a plurality of intraplant orchestrators assigned to respective ones of a plurality of production plants, wherein each intraplant orchestrator is operative to execute one or more intraplant orchestration tasks regarding the respective production plant; and an interplant orchestrator operative to execute one or more interplant orchestration tasks. The interplant orchestrator and the intraplant orchestrators are operative to cooperate to orchestrate resources and services of the plurality of production plants.

Systems and methods for integrated orchestration of intelligent systems. An intelligent systems orchestration system harvests and combines aspects of disparate intelligent systems for use in intelligent virtual assistant applications and automation applications. In one aspect, the system provides an intelligent orchestration between cognitive plugins, such as natural language processing, sentiment analysis, speech recognition, text-to-speech, and computer vision. The intelligent systems orchestration system supports the building and deployment of cognitive applications (e.g., training, agent assist, customer assist, next best action and compliance) for enhancing a brand customer experience, and agent proficiency. The system also provides multi-IVA orchestration and supports session, context, and state management. Furthermore, the intelligent systems orchestration system includes a Conversation Control Language for the normalization of conversations across multiple channels and bots.

A system for latency-aware orchestration and performance optimization in AI-driven telephone communication, consisting of: a speech capture unit configured to capture an analog audio signal from a telephone interface and convert the analog audio signal into a digital audio signal stream; a feature extraction unit that is operationally coupled with the speech acquisition unit and is configured to generate a feature representation of the digital audio signal stream through spectral decomposition, noise reduction, and temporal segmentation; an AI inference processor communicatively connected to the feature extraction unit, configured to run one or more AI models for automatic speech recognition, natural language understanding, and emotion recognition on the feature representation to generate intermediate results for inference; a latency orchestration controller coupled to the AI ​​inference processor, wherein the latency orchestration controller is configured to monitor latency across multiple processing stages, predict cumulative delay propagation using a hybrid latency estimation model, and orchestrate the execution scheduling of the AI ​​inference processor based on the predicted latency deviation; a performance optimization unit coupled with the latency orchestration controller and configured to dynamically adjust computational accuracy, inference batch size, and feature processing resolution based on latency thresholds and quality constraints set by the latency orchestration controller; and a transmission synchronization array configured to time-align the processed output generated by the AI ​​inference processor and transmit it to a remote communication node, with the transmission synchronization array maintaining deterministic time coordination between successive packets and the orchestrated inference results.

Systems and methods for user steering through workspace orchestration are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: receive, at a local management agent from a workspace orchestration service, one or more files configured to enable the local management agent to instantiate a workspace based upon a workspace definition, where the workspace definition enables the workspace to communicate with a selected peripheral device.

Some methods may involve receiving a first content stream that includes first audio signals, rendering the first audio signals to produce first audio playback signals, generating first direct sequence spread spectrum (DSSS) signals, generating first modified audio playback signals by inserting the first DSSS signals into the first audio playback signals, and causing a loudspeaker system to play back the first modified audio playback signals, to generate first audio device playback sound. The method(s) may involve receiving microphone signals corresponding to at least the first audio device playback sound and to second through Nth audio device playback sound corresponding to second through Nth modified audio playback signals (including second through Nth DSSS signals) played back by second through Nth audio devices, extracting second through Nth DSSS signals from the microphone signals and estimating at least one acoustic scene metric based, at least partly, on the second through Nth DSSS signals.

The invention relates to the technical field of software development, and provides a dynamic arrangement type invoicing method and system, and the method comprises the steps: building a code-level atomic component library; packaging a corresponding flow node component for each atomic component in the flow editor, and providing a drag-and-drop atomic component arrangement flow interface; the atomic component arrangement process precondition verification is realized; generating a self-defined DSL of an atomic component arrangement process; the invoicing process executor is responsible for analyzing the DSL and calling and executing the atomic component according to an arrangement process; a local invoicing tagging interface and function are realized, an invoicing process executor is called, and an invoicing transaction is closed. The invention provides an invoicing mode which supports online editing and is based on capability arrangement, rearrangement of the invoicing transaction process can be dynamically realized only by adjusting the arrangement process of the atomic component online by utilizing the draggable process editing interface, and diversified configuration requirements of the invoicing transaction process are effectively met.

Systems and methods for dynamic power limit orchestration in a firmware framework are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include a heterogeneous computing platform with multiple devices, and an orchestrator with firmware that, upon execution by a processing core, causes the processing core to communicate with each of the plurality of devices to obtain a power consumption level for the device, and adjust a power limit value of the IHS according to a cumulative power consumption level of the devices.

Systems and methods for workspace orchestration based on energy scores are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS) may include: a processor; and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: receive, at a local management agent from a workspace orchestration service, one or more files configured to enable the local management agent to instantiate a workspace, where the one or more files are selected or assembled based upon a workspace definition created, at least in part, based upon an energy score; and instantiate the workspace.

The embodiment of the invention provides a construction method and device of a digital twin network, equipment and a storage medium. The method comprises the following steps: an arrangement function receives a first request sent by a consumer, wherein the first request is used for requesting to construct a digital twin network; the first request comprises related information of the digital twin network; the arrangement function performs analysis based on the first request and network networking information, and generates an arrangement result of the digital twin network instance; and the arrangement function sends the arrangement result to a control function, so that the control function controls the digital twin network instance based on the arrangement result, and the control comprises at least one of the following controls on the digital twin network instance: deployment, configuration, starting and state monitoring.

Provided in the present application is a resource orchestration method based on a cloud computing technique. The method is applied to a cloud management platform and comprises determining a resource change set and orchestration steps on the basis of a resource request, wherein at least one of the orchestration steps comprises at least one orchestration unit, the orchestration unit comprises a plurality of operations for the same type of cloud resources among cloud resources to be changed, and all of the plurality of operations for the same type of cloud resources among the cloud resources to be changed are identical. By means of aggregating identical operations for the same type of resources, a batch change for aggregated units is realized; and by means of orchestrating, on the basis of orchestration steps, cloud resources to be changed, the response pressure of a cloud resource interface is reduced, thereby improving system stability and reliability, and improving the orchestration efficiency.

Systems, processes, and apparatuses are disclosed including an orchestration agent and an orchestration hub. The orchestration agent is operatively connected to an eUICC and memory at a mobile computing device. The orchestration hub includes a processor and a database including centralized network subscription information. The orchestration hub can receive updated network subscription information from a device management and from a network connectivity management platform. The orchestration hub can compare the updated network subscription information to a plurality of subscription records in the centralized network subscription information. The orchestration hub generates a new subscription record including current network subscription information based on the updated network subscription information. The orchestration agent can replace one or more information fields of a subscription edge record at the eUICC and the memory with corresponding information fields from the new subscription record.

Techniques are disclosed relating to implementing an end-to-end orchestration for a datacenter on a cloud platform. A datacenter may be orchestrated on a cloud platform according to a declarative specification that describes dependences between datacenter entities (e.g., services) in the datacenter. Some datacenter entities may execution dependencies, which include activities, steps, or events that need to be completed for the datacenter entities to be ready for orchestration. Accordingly, in order for an orchestration workflow to be able to execute from beginning to end without interruption, all the execution dependencies for all the datacenter entities in the orchestration workflow need to be completed. The techniques disclosed include automatically initiating execution of the execution dependencies and waiting for indications that the execution activities are completed before executing the orchestration workflow.

The invention relates to a computing power resource scheduling method and device and computer equipment. The method comprises the following steps: acquiring a to-be-processed arrangement task; determining each analysis time period and each preselected computing power resource of the to-be-processed orchestration task based on the acquired task information of the to-be-processed orchestration task; determining a matching evaluation result between the to-be-processed orchestration task and each preselected computing power resource in each analysis time period based on the use distribution condition of each preselected computing power resource; matching the evaluation result, and representing the computing power resource utilization rate of processing the orchestration task by adopting the pre-selected computing power resource; and scheduling each computing power resource based on a matching evaluation result between the to-be-processed orchestration task and each pre-selected computing power resource in each analysis time period. By adopting the method, the problem of low computing power resource utilization rate due to the fact that the same computing power resource can load another task only after the current task is loaded in the existing computing power resource scheduling method can be solved.

The invention relates to the technical field of multi-scene dynamic orchestration, in particular to a multi-scene-based orchestrable unified preprocessing rule method and system, and the method comprises the steps: carrying out the dynamic matching of a rule according to scene information, employing a visual rule orchestration engine, and employing a micro-service architecture design; the method has the beneficial effects that different service scenes can be covered through the modular rule base and the dynamic configuration capability, repeated development of a traditional single scene preprocessing system is avoided, and the technology reuse rate is improved. Visual flow arrangement is adopted, a user is allowed to customize a rule execution sequence, conditional branches and combinatorial logic, complex business demand changes are flexibly dealt with, and the technology coupling degree is reduced.

Systems and methods for managing credentials usable in the orchestration of workspaces by multiple remote orchestrators are described. In an illustrative, non-limiting embodiment, an Information Handling System (IHS), may include a processor and a memory coupled to the processor, the memory having program instructions stored thereon that, upon execution by the processor, cause the IHS to: allow a first remote orchestrator to manage a workspace instantiated by the IHS in response to the first remote orchestrator having a first credential, where the first remote orchestrator is associated with a first domain; receive a request from a second remote orchestrator to manage the workspace, where the second remote orchestrator is associated with a second domain within the first domain; and allow the second remote orchestrator to manage the workspace in response to a determination that the second remote orchestrator has a second credential provided by the first remote orchestrator.

Computer systems and methods with decentralized blockchain orchestration architecture use multiple orchestrators embedded at the cluster level. A push architecture is provided for manipulating and verifying workload configurations, including the ability to determine differences between stored configurations and actual configurations.

Techniques are described for performing an automated region build. An orchestration service (e.g., a Multi-Flock Orchestrator (MFO)) may be configured to bootstrap any suitable number of services within a region corresponding to one or more data centers. Each service can be associated with a respective set of resources (e.g., infrastructure components to be provisioned, software artifacts to be deployed, etc.). The WO can obtain configuration files corresponding to the services to be bootstrapped and perform a static analysis the configuration files to identify one or more dependencies between the services. Circular dependencies can be identified and resolved before region build. A graph may be generated that maintains the dependencies identified and indicates a corresponding order with which bootstrapping tasks are to be performed. The WO may traverse the graph to incrementally instruct, according to the identified dependencies, a provisioning and deployment manager to bootstrap services in the region.

The invention provides a service orchestration method and device and related equipment, and the method comprises the steps: obtaining a first state space and a first action space of a to-be-orchestrated service, the first state space being used for representing the states of a server and an interface related to the to-be-orchestrated service, and the first action space being used for representing the states of the server and the interface related to the to-be-orchestrated service; the first action space is used for representing an interface function and a calling relation of an interface related to the to-be-arranged service; based on the first state space and the first action space, generating first calling information of an interface related to the to-be-arranged service; based on the first action space, M candidate interface calling sequences of the to-be-arranged service are generated, and M is a positive integer; selecting a target interface calling sequence matched with the first calling information from the M candidate interface calling sequences; and performing link configuration on the to-be-arranged service based on the target interface calling sequence.

The invention discloses a cross-culture melody feature extraction and musical instrument matching system based on deep learning, and belongs to the technical field of music information processing and artificial intelligence. The system comprises an audio acquisition module, an audio preprocessing module, a melody feature extraction module, a cultural context understanding module, an emotion semantic analysis module, a musical instrument timbre database, a musical instrument matching recommendation module, a distributor scheme generation module, a user interaction module and an audio synthesis module. Multi-dimensional melody features are extracted through a multi-scale convolutional neural network and a bidirectional long-short term memory network, cultural semantic understanding is realized through reasoning on a music knowledge graph by using a graph neural network, and musical instrument matching is performed by using a multi-objective optimization algorithm in combination with three dimensions of timbre integrating degree, cultural consistency and emotional expressive power. According to the system, automation of the whole process from humming melody to musical instrument configuration is achieved, the efficiency of the instrument is improved by 400%, the accuracy rate reaches 92%, and an intelligent tool is provided for cross-culture music creation and national music modernization reorganization.

The invention provides a micro-service deployment and arrangement optimization method and system for a deep neural network, and the method comprises the steps: enabling a cloud center node to deploy a plurality of micro-services composed of different container mirror images to a plurality of edge server nodes based on the micro-service deployment starting time and resource conditions, each micro-service is constructed based on a service branch of a pre-trained multi-branch deep neural network model, and each service branch corresponds to a micro-service set; determining a deployment and arrangement joint optimization target based on micro-service deployment starting time, service time delay and service precision, and performing joint iterative optimization including micro-service deployment optimization and micro-service arrangement optimization according to the deployment and arrangement joint optimization target. And when the result of the joint iterative optimization cannot achieve the deployment and arrangement joint optimization target, further performing arrangement iterative adjustment based on multi-branch deep neural network model branch optimization to achieve the deployment and arrangement joint optimization target.

The invention relates to the technical field of virtualization orchestration, in particular to an industrial control virtualization orchestration system and method, and the system comprises a task extraction module, a node behavior monitoring module, a stability evaluation module, an orchestration load adjustment module and a control task migration module. According to the method, the scheduling cycle closed-loop feature recognition is performed by collecting the control task scheduling mapping table and the execution instruction queue and combining the cycle control mark and the interrupt mark, so that an orchestratable task set can be effectively recognized, the behavior success rate is calculated according to parameters such as node response delay and task completion proportion, and node stability screening is performed; stability grade division of control nodes is achieved, a scheduling priority list is formed by setting a release threshold value, then the task migration opportunity is judged based on task residence time and IO completion conditions, migration targets are accurately selected in a behavior pattern matching mode, and the stability of task scheduling, the precision of resource allocation and the adaptability of control logic are remarkably improved.

Techniques are disclosed relating to implementing automated retries during orchestration of a datacenter on a cloud platform. Generating an orchestration workflow for the datacenter may include generating an aggregate pipeline for the orchestration. The aggregate pipeline includes instances of datacenter entity pipelines that include stages for provisioning and deployment of datacenter entities. The disclosed techniques include adding retry stages to the datacenter entity pipelines that are automatically invoked in the event of failure of a datacenter entity pipeline. The retry stages are placed at the end of individual datacenter entity pipelines and conditional expressions are included that invoke retry strategies defined by owners of the datacenter entity.