14 results about "Clouding agent" patented technology

This invention relates to methods and systems of procuring services in the cloud and specifically procurement where the requirements are defined by the consumer in a machine understandable knowledge representation language such as RDF and OWL using semantic web technology to establish a cloud agent for discovery of a service provider and effectuate the automatic generation of a contract, or service-level agreement, that can be monitored due to the coupling between the machine understandable knowledge representation language and the contract.

The invention provides a method for constructing a container cloud agent based on a MiniMax-Text-01 large model, a medium and equipment, belongs to the technical field of automatic operation and maintenance, and can perform fault detection, flow prediction and resource elastic expansion and contraction according to real monitoring data. The intelligent agent constructed by the invention can automatically pre-judge and give an optimal scheme for capacity expansion or migration when finding that the load of the server is abnormal, so that the frequency and the duration of manual intervention are reduced. In a multi-cloud and hybrid cloud architecture, an intelligent agent can cooperatively manage calculation, storage and network resources on a heterogeneous platform, and cross-cloud load balancing and cost optimization are realized. In addition, the intelligent agent can help a data analysis and machine learning team to better utilize a cloud GPU / TPU cluster and automatically select a proper computing power and storage scheme, so that the training and prediction efficiency of mass data is remarkably improved. In the scene of Internet of Things and edge computing, the intelligent agent can link the cloud and the edge nodes, intelligently dispatch the computing power and bandwidth of each node, and find and correct abnormal data streams in time.

Techniques for enabling streamlined and simplified management of connections across cloud service providers (CSPs). The techniques provide a new, decentralized multi-cloud mesh that integrates a cloud agent service within virtual points of presence (vPoPs) to provide agentless end-to-end monitoring of connection(s) for tenant accounts across CSPs. Users can configure test(s) that are executed by the vPoPs within the multi-cloud mesh, thereby reducing overhead of creating and maintain infrastructure. By integrating the cloud agent service into the vPoPs and deploying them within the multi-cloud mesh at the edges, the techniques enable test(s) to be performed between any network elements across CSPs and dramatically reduces infrastructure overhead, operational costs, and maintenance requirements.

Techniques for enabling streamlined and simplified management of connections across cloud service providers (CSPs). The techniques provide a new, decentralized multi-cloud mesh that integrates a cloud agent service within virtual points of presence (vPoPs) to provide agentless end-to-end monitoring of connection(s) for tenant accounts across CSPs. Users can configure test(s) that are executed by the vPoPs within the multicloud mesh, thereby reducing overhead of creating and maintain infrastructure. By integrating the cloud agent service into the vPoPs and deploying them within the multi-cloud mesh at the edges, the techniques enable test(s) to be performed between any network elements across CSPs and dramatically reduces infrastructure overhead, operational costs, and maintenance requirements.

The invention discloses an edge node remote access method and device based on cloud edge collaboration and electronic equipment, and the method comprises the steps: initiating a registration request to a cloud agent through an edge agent, and enabling the cloud agent to establish a cloud edge channel with the edge agent; receiving an edge node access request of a user through the cloud agent, and issuing the edge node access request to the edge agent through the cloud edge channel; performing address conversion on the edge node access request through the edge agent to obtain a local access address, accessing a target web application according to the local access address, and uploading a response result of the target web application to the cloud agent through a cloud side channel; and performing address conversion on the response result through the cloud agent and then returning to the user. The security and stability of remote access of the edge node are improved, and the method can be applied to the technical field of the Internet of Things.

Dry powder compositions that result in a drinkable beverage when reconstituted in a liquid comprise a powdered beverage mix that includes at least one flavorant, at least one food grade colorant, and a powdered clouding agent. The powdered clouding agent includes vegetable oil, carbohydrates, one or more emulsifiers, and components including one or more of a buffering agent, a free flowing agent, an anti-oxidant, and water. The presence of the powdered clouding agent in the dry powder compositions enables the production of powdered beverage compositions that contain a reduced amount of food grade colorants that would otherwise be present in the powdered beverage compositions if this cloudifier were absent from the powdered beverage compositions.

The invention provides an electric bed control system and method based on a cloud agent, and the system specifically comprises a voice collection module which collects an original voice instruction of a user; the cloud intelligent agent module is integrated with an electric bed control exclusive small model, an interaction logic module, an instruction generation module and a fault processing module, and outputs binary instruction codes; the local control terminal is used for receiving the binary instruction code of the cloud agent module and further analyzing the binary instruction code; the driving execution module controls the electric bed to execute corresponding actions; the electric bed control system has the advantages that the convenience and the intelligent level of electric bed control are effectively improved, the response speed is increased, the system maintenance and upgrading cost is effectively reduced, and the electric bed can be controlled by upgrading an algorithm model and a function module in the cloud intelligent agent module subsequently. And new control instruction types are continuously increased, the interaction logic is optimized, and the service life is prolonged.

The application discloses a parking platform-based cloud seat allocation method and related device, comprising: judging whether a request instruction belongs to a first type of instruction or a second type of instruction when the request instruction is received from a preset port; generating a request identifier according to a vehicle owner request or a parking lot request in the first type of instruction when the request instruction belongs to the first type of instruction; obtaining a preset first type of login strategy, and sending the first type of instruction to a target cloud address corresponding to the first type of login strategy according to the request identifier; obtaining a second type of connection mode corresponding to the second type of instruction when the request instruction belongs to the second type of instruction; obtaining a local interface, entering a local cloud seat through the local interface, and sending the second type of instruction to the local cloud seat; generating a corresponding execution operation according to result information fed back from the local cloud seat or the target cloud address when the result information is received; and improving resource utilization, which can save important data by using a private cloud and improve functional efficiency by using a public cloud.

The embodiment of the invention provides a deep fatigue braking pulse wake-up control method and device based on a cloud agent, and the method comprises the following steps: a local lightweight model preliminarily judges whether there is a deep fatigue risk, and triggers a deep fatigue alarm event if there is a deep fatigue risk; based on the non-real-time short video clip and the vehicle state abstract, secondary judgment is carried out on whether a deep fatigue risk exists or not through a primary agent, and if yes, the vehicle end is requested to start a real-time video stream; synchronously transmitting the multi-source real-time information to the secondary intelligent agent; the second-stage intelligent agent carries out combined recheck and safety goalkeeping judgment based on the multi-source real-time information, the fatigue state of the driver is judged again through a multi-modal fusion model, and if snub is allowed, a dynamic self-adaptive algorithm is adopted to generate a snub instruction; and the inching brake instruction is issued to the vehicle end through the cloud end. According to the scheme, the driving safety and the system landing feasibility are improved through judgment of the two-stage intelligent agent.

This invention discloses a local reversible pseudonymization privacy protection method and system for cloud-based intelligent agent memory, relating to the fields of artificial intelligence and data security technology. The invention pre-configures a four-level privacy classification system on the local device, performs edge-side privacy detection and hierarchical recognition on user-input text, replaces sensitive information with placeholders carrying semantic types, and uploads it to the cloud. The cloud uses these placeholders to perform semantic reasoning, tool invocation, and memory archiving. The local device then restores the original sensitive information from the placeholders returned by the cloud, achieving a privacy protection effect where plaintext privacy data remains locally while the cloud only processes semantically abstract information. This invention can block privacy leakage paths at the source without compromising the semantic understanding and long-term memory capabilities of cloud-based intelligent agents, balancing privacy security and system utility. It features low processing latency and is imperceptible to the user, making it suitable for long-term interaction and memory management scenarios of cloud-based intelligent agents driven by large language models.

Methods, and computer program product, the computer program product comprising program instructions implementing: a cloud agent module executed by the mainframe computer for communicating with the cloud storage; one or more first routines implementing low level I / O control events of the mainframe computer, including at least mount and unmount routines, said first routines substituting one or more OS routines executed by the mainframe computer; a SAM EOB routine for calling the cloud agent module to transmit or retrieve data from the cloud storage, the SAM EOB routine substituting an OS routine; and one or more exit routines, called for Open, Close and End of Volume related events, said exit routines sending notifications to the cloud agent module.

Disclosed is a powdered purely vegetarian foamable clouding agent suitable for forming a foaming beverage, the clouding agent comprising 20-45 wt.% of a vegetable oil, the oil being liquid at 20 DEG C, 45-70 wt.% of a carbohydrate, 0.2-1.2 wt.% of an ionic emulsifier selected from the group consisting of DATEM, SSL, CITREM and combinations thereof, and the balance of water. 0.6 to 2.0 wt.% of a sucrose ester and 0.1 to 5.0 wt.% of at least one component selected from the group consisting of a buffering agent, a free flowing agent, an antioxidant, moisture and combinations thereof, wherein the clouding agent is a powder.

Powdered vegan foamable clouding agent suitable for forming a foamed beverage, said clouding agent comprising 20-45 wt.% vegetable oil, which oil is liquid at 20° C, 45-70 wt.% carbohydrates, 0.2-1.2 wt.% ionic emulsifier selected from the group consisting of DATEM, SSL, CITREM, and combinations thereof, 0.6-2.0 wt.% sucrose ester, and 0.1-5.0 wt.% of at least one component selected from the group consisting of buffering agents, free flowing agents, anti-oxidants, moisture, and combinations thereof, wherein the clouding agent is a powder.

The invention relates to an anomaly identification method and system based on edge gateway cloud edge collaboration, and the method specifically comprises the steps: uploading an algorithm model to a background model management module of an Internet of Things platform, configuring a calculation rule, issuing the algorithm model and the calculation rule to an edge gateway through a cloud server, the edge gateway pulls cloud agent sub-equipment information and calculation configuration data, loads a corresponding algorithm model and a calculation rule, monitors an event of the cloud agent sub-equipment, performs logic processing according to the calculation rule, processes a processing result into an equipment exception event, and uploads the equipment exception event to the gateway server; and the gateway server processes the abnormal event according to the service demand. Therefore, through the combination of cloud collaboration and edge computing, the rapid identification and processing of the equipment exception are realized, the efficiency and accuracy of exception identification are improved, the dependence on specific hardware equipment is reduced, the equipment exception identification adaptation cost and the later operation and maintenance cost are reduced, and the network transmission pressure and the cloud processing burden are reduced.