152 results about "Cloud computing services" patented technology

The invention relates to the technical field of forest fire management, in particular to an integrated forest fire intelligent analysis method and system. The system comprises a background service system, a central intelligent analysis system and a mobile intelligent analysis system. The background service system is deployed in a cloud computing server cluster and is used for uniformly storing personnel information, fire scene information and geographic information data and realizing multi-source data fusion and authority management through a standardized API (Application Program Interface); the central intelligent analysis system is deployed in a high-performance computer, integrates a forest fire danger auxiliary decision-making model, a forest fire spreading trend prediction model, a force distribution dynamic display module and a collaborative plotting module, and supports fire spreading prediction and real-time decision-making instruction issuing based on multi-dimensional data such as weather, terrain and vegetation; the mobile intelligent analysis system realizes fire spreading trend analysis, mobile plotting and instruction receiving in an offline environment, supports offline data caching and calling in an emergency scene, and effectively improves forest fire emergency response efficiency and resource scheduling accuracy.

The invention relates to the technical field of server management and cloud computing, in particular to a dynamic load-oriented intelligent identification heterogeneous server resource expansion method. The method aims at optimizing the resource management efficiency, the hardware expansion flexibility and the overall operation stability of the system in a data center and a cloud computing environment by integrating an advanced intelligent identification technology, a real-time data analysis capability and a self-adaptive resource scheduling mechanism. The method is particularly suitable for modern data center scenes requiring high concurrent processing capability, dynamic load adaptability and high reliability, such as a large-scale cloud computing service platform, an enterprise-level distributed storage system and an artificial intelligence computing cluster.

An indoor air cleaning system with a networking mechanism is disclosed and applied in an indoor field (A) for detecting and cleaning air pollution completely. A real-time air quality monitoring in the indoor field (A) is achieved by arranging plural gas detectors (A), at least one gas molecule control hardware device (2), at least one air conditioning device (3) and a networked cloud computing service device (4) in the indoor field (A) and forming an intelligent linked system by the arranged gas detectors (1) in an outdoor filed and the indoor field (A). Meanwhile, the air pollution in the indoor field (A) is also detected and intelligently compared with an ambient air quality status, and an air guiding volume of an air guiding fan (21) is instantly controlled according to the air quality. Whereby an energy saving benefit of the effective controlling operation of the purification device is achieved.

The present disclosure provides a resilient (radio) access network ((R)AN) slicing framework encompassing a resource planning engine and distributed dynamic slice-aware scheduling modules at one or more network access nodes, edge compute nodes, or cloud computing service. The resilient (R)AN slicing framework includes resource planning and slice-aware scheduling, as well as signaling exchanges for provisioning resilient (R)AN slicing. The intelligent (R)AN slicing framework can realize resource isolation in a more efficient and agile manner than existing network slicing technologies. Other embodiments may be described.

The invention relates to the field of cloud computing and server operation and maintenance monitoring, and discloses a cloud computing server operation fault state monitoring method which comprises the following steps: deploying a lightweight monitoring agent at each server node, and collecting performance index data of a server in real time; preprocessing the acquired performance index data; performing fault prediction on the preprocessed performance index data based on a deep learning model, and outputting a fault prediction result; according to the fault prediction result, an alarm threshold value is adjusted in combination with the current load condition of the server; based on the fault prediction result, the severity of the fault is evaluated, and the alarm level and the monitoring frequency are automatically adjusted; and adjusting the priority and resource allocation of the monitoring task through an optimization algorithm. Through real-time acquisition and intelligent analysis of server performance data, in combination with deep learning and optimization algorithms, the fault prediction accuracy and the response speed of a monitoring system are significantly improved, false alarms are effectively reduced, and the resource utilization efficiency is improved.

A system for optimizing performance, managing network traffic, and enhancing user experience includes a host device a cloud computing server and controllers. The controllers execute control logic including a prediction application (PA) that obtains sensor data from the sensors, sends control and user plane data to infrastructure, and to the cloud computing servers, and accesses prior knowledge data stored within memory of the cloud computing servers. Additional control logic performs a Granger causality test on the user and control plane data, and utilizes a prediction model to generate a prediction from fused user and control plane data. A prediction verifier is applied to the prediction from the prediction model, and the PA enables the host device to adapt to dynamic wireless communications network conditions.

The specification provides a workload prediction method, device, medium and computer system in a cloud computing service, the method comprising: in response to a first trigger event, obtaining first time series data corresponding to system state data in a first time period; based on the first time series data, performing a first prediction for a future first time domain range to obtain a first prediction result; in response to a second trigger event, obtaining second time series data corresponding to system state data in a second time period; based on the second time series data, performing a second prediction for a future second time domain range to obtain a second prediction result; evaluating the accuracy of the first prediction result to obtain an evaluation result; and determining a target prediction result of the workload according to the evaluation result, the first prediction result and the second prediction result.

An intelligent networked energy recovery ventilator includes a main body, a filtering component, an air guiding fan, a heat exchange core, a host driving controller and a gas detection module. The gas detection module is disposed in the main body and electrically connected to the host driving controller. The gas detection module detects temperature, humidity and air pollution in the air to generate detection data, the detection data is transmitted to a networked cloud computing service device through IoT communication, and the networked cloud computing service device collects, analyzes and monitors the detection data in real time and intelligently selects a control instruction for transmitting to the gas detection module to control the host driving controller to enable the air guiding fan and dynamically adjust operation frequency and output air volume of the air guiding fan, thereby achieving gas exchange and heat exchange between indoor field and outdoor field.

The embodiment of the invention provides a data processing method, device and system, a hot upgrade method and device of a data forwarding unit, computing equipment, a computer readable storage medium and a computer program product. The method is applied to a cloud computing server, and the cloud computing server comprises a data processing unit and the data forwarding unit. The method comprises the steps of creating a newly added process corresponding to a data forwarding unit under the condition of determining that the data forwarding unit is subjected to hot upgrade updating, and establishing communication connection between an initial process and the newly added process; switching an initial process of any one of the data processing unit and the storage unit in communication connection with the data forwarding unit into a newly added process; and sending the data processing request received by the data processing unit to the storage unit for execution according to the newly added process and the initial process of the other one of the data processing unit and the storage unit in communication connection with the data forwarding unit, and by adopting the method, the data processing efficiency can be improved.

The application discloses a data terminal fire-fighting monitoring system based on cloud computing services, and relates to the technical field of monitoring systems, which comprises a host body, three bearing plates are equidistantly arranged in the host body, two sliding rails are slidingly connected to the top of the upper two bearing plates, and an installation plate is connected to the top of the two sliding rails. The application is provided with a series of structures, which improves the sensitivity, accuracy and reliability of early fire detection, effectively overcomes the problem of single function of traditional detectors, easy false alarm and missed alarm, improves the environmental adaptability and power supply reliability of the equipment, effectively avoids monitoring interruption caused by external environmental interference and sudden power failure, can more accurately judge the authenticity, type and level of fire, and execute grading and cooperative control strategy from early warning to emergency linkage according to the judgment, forms efficient closed-loop management, can flexibly deploy single or multiple host bodies according to the monitoring scene requirements, and realizes unlimited expansion of the monitoring range.

Technologies for facilitating testing for a communications network are disclosed. An example method includes maintaining a hierarchy of testing environments that replicate at least part of a network core of the 5G communications network to be consistent with a current declared state of the communications network. The network core of the communications network is established virtually using a cloud computing service and the hierarchy of testing environments are generated via the cloud computing service. The method also includes evaluating network functions for entry into or exiting testing environments in the hierarchy, and tracking and recording data associated with testing of the network functions in individual testing environments.

Disclosed are systems, apparatuses, processes, and computer-readable media for caching prompts for a generative response engine. The present technology includes receiving, by a cloud computing service, a request including a first prompt including a natural language task to perform, wherein the request include an access key for accessing the cloud computing service; identifying a generative response engine for generating a response to the natural language task based on contents of the natural language task; transmitting the first prompt and a hash to the generative response engine; and receiving the response to the natural language task from the generative response engine, the response including a number of input tokens.

The utility model belongs to the technical field of server installation, and particularly relates to a cloud computing server installation device which comprises a cloud computing server installation box, an installation frame is arranged on the inner wall of the bottom of the cloud computing server installation box, a sliding-in groove is formed in the inner wall of the bottom of the cloud computing server installation box, and a sliding-in groove is formed in the sliding-in groove. Two inserting blocks are slidably mounted on the inner side of the mounting frame, inserting grooves are formed in the inner walls of the left side and the right side of the sliding-in groove, the cloud computing server mounting box is opened, and a worker can move the mounting frame and the server body above the mounting frame to the front of the cloud computing server mounting box by means of a movable trolley; the installation frame is aligned with the sliding-in groove, the installation frame can be pushed into the inner side of the sliding-in groove, a plurality of guide rails are arranged above the sliding-in groove, a plurality of balls are arranged on the inner sides of the guide rails, the friction force of the installation frame in the sliding-in process can be small through the balls, and operation of workers is convenient and rapid.

The application discloses a kind of unmanned aerial vehicle group reconnaissance power scheduling method based on collaborative computing, the method is directed to how to realize information intercommunication and cluster resource comprehensive collaborative allocation in the process of collaborative detection without relying on ground mobile base station and cloud computing server, establish cluster information collaborative model and form cluster collaborative computing alliance, through mutual communication between unmanned aerial vehicle, reasonably coordinate cluster detection and computing resource, and realize cluster reconnaissance power optimal method.The present application includes that the system is based on task search vector in the detection topology optimization layer, optimizes the detection position of unmanned aerial vehicle, in the resource optimization layer, the system alternates task unloading proportion and computing resource allocation proportion to give the reconnaissance power under the current detection topology, the system is constantly optimized detection topology optimization layer and resource allocation optimization layer according to the feedback of reconnaissance power, finally obtain the optimal detection topology and resource allocation scheme of cluster, realize efficient detection.

The invention discloses a data security sharing method, device and equipment, a medium and a product. The method comprises the following steps: when a data owner detects that an online encryption condition is satisfied, sending a final ciphertext and a symmetric key to a cloud storage server, and uploading a verification code to a block chain; the attribute authorization mechanism performs time verification, identity verification and attribute domain verification in response to a data acquisition request sent by the data user, and generates an attribute key and sends the attribute key to the data user under the condition that the verification is passed; the data user determines a conversion key according to the attribute key and sends the conversion key to the cloud computing server so as to instruct the cloud computing server to feed back a conversion ciphertext to the data user; and the data user decrypts the data ciphertext according to the retrieval key, the verification code downloaded by the block chain and the conversion ciphertext fed back by the cloud computing server to obtain the original data, so that the data owner can share the data of the data user safely.

A system for autonomous vehicle preparation and retrofit monitoring for efficient fleet management includes sensors equipped on a vehicle. Each sensor has a different field of view of the vehicle or the surroundings of the vehicle. A human-machine interface (HMI) accessible to a fleet manager, the cloud computing server, and the controller communicate with each other and with the vehicle. The controller executes a fleet management application (FMA) having a first control logic for authorized personnel detection (APD), a second control logic for cargo and retrofit (CU) management, and a third control logic for vehicle daily preparation (VDR) management. The outputs from the first control logic, the second control logic, and the third control logic are transmitted to the HMI and a cloud computing server, and the FMA suggests a vehicle stop time mitigation policy to a fleet manager based on the outputs from the first control logic, the second control logic, and the third control logic.

The invention provides a construction project cost analysis method and device, a storage medium and a program product, and relates to the technical field of construction cost analysis. Performing budget reverse decomposition operation on the current construction project by using the cloud computing service center to obtain a sub-item project parameter set, geographic position data, sub-item budget constraint conditions and a sub-item project optimization strategy; a background database is used for executing missing parameter influence operation on the subentry engineering parameter set according to the geographic position data and the material supply chain data, and a cost influence weight is obtained; key parameter locking operation is executed on the front-end application software according to the cost influence weight, so that key parameters are obtained; and utilizing a background database to generate a cost decision analysis report according to the key parameters, the sub-item engineering parameter set, the sub-item engineering optimization strategy and the sub-item budget constraint conditions. The technical problem that the parameter processing efficiency is low in the construction project cost analysis process in the prior art is solved.

To provide an indoor air cleaning network mechanism system for detecting air pollution in an indoor space and bringing the air pollution close to zero.SOLUTION: An indoor air purification network architecture system, wherein a plurality of gas sensors, at least one gas molecule control hardware device, at least one air conditioning device and a cloud computing service device are arranged in an indoor space, and the air quality in the indoor space is monitored anytime and anywhere through the arrangement of the gas sensors in the indoor space and an outdoor space and an intelligent linkage system; To provide an indoor air cleaning network mechanism system for efficiently controlling an energy saving effect in operation of a cleaning device, by adjusting an air volume of a blower in real time in response to air quality, by intelligently comparing with a state of environmental air quality, by detecting air pollution of an indoor space.SELECTED DRAWING: Figure 1A

The present disclosure provides a kind of based on blockchain Internet of Things terminal identity authentication method, is realized by Internet of Things terminal, edge server and cloud computing server;Wherein, multiple edge servers are as blockchain node, constitute blockchain network;Internet of Things terminal is registered on cloud computing server and generates registration identification;Internet of Things terminal sends identity authentication request to edge server;Edge server obtains the identity information of Internet of Things terminal according to identity authentication request, and broadcasts identity information in blockchain network;As consensus node, edge server verifies identity information, obtains verification result, and sends verification result to the edge server corresponding to Internet of Things terminal;The edge server corresponding to Internet of Things terminal obtains the identity authentication result of Internet of Things terminal according to verification result, by the present disclosure, can accurately, efficiently carry out Internet of Things terminal identity authentication.

The invention discloses a clean air and sewage intelligent networking mechanism system for controlling indoor air temperature and humidity. The clean air and sewage intelligent networking mechanism system comprises a plurality of gas detectors, at least one cooling exchanger, at least one heat exchanger, at least one dehumidifier, at least one humidifier and at least one networking cloud computing service device, the refrigeration exchanger, the heating exchanger, the dehumidifier and the humidifier are internally provided with gas detectors, an air guide fan, a filtering assembly and a driving controller, and the networking cloud computing service device receives air pollution information, carbon dioxide pressure detection information and gas temperature and humidity information detected by a plurality of gas detectors; and intelligent operation and comparison are carried out, a control instruction is sent out to control the operation of the air guide fans of the refrigeration exchanger, the heating exchanger, the dehumidifier and the humidifier to adjust the temperature and the humidity of an indoor field domain, and air pollution gas is drained to carry out circulating air pollution purification in the indoor field domain.

A physical routing appliance facilitates connection of a user installation to a cloud service. At the physical routing appliance, system data received from the user installation may be multiplexed for transmission to a virtual routing appliance at the cloud service as multiplexed data. At the virtual routing appliance, system data received from the cloud service may be multiplexed for transmission to the physical routing appliance as multiplexed data. The physical routing appliance receives the multiplexed data from the virtual routing appliance and formats that data for transmission to the user installation. The virtual routing appliance in turn receives the multiplexed data from the physical routing appliance and formats that data for transmission to the cloud service. A plurality of paths between the physical routing appliance and the virtual routing appliance enable transmission of the multiplexed data as multiplexed data portions without having to retransmit all of the system data.

The invention provides a data integrity verification method and system oriented to an industrial cloud storage system, and the method comprises the steps: a plurality of cloud computing servers receive a secret sharing share from a fog node, and filter the secret sharing share based on additional commitment and proof; the secret sharing share is calculated based on a randomly selected signature secret key; a plurality of cloud computing servers receive the data file and execute blocking, calculate the data labels of the data blocks based on the secret sharing share, and integrate the data labels of all the data blocks after the data file is blocked to obtain a label set of the data file; the main cloud computing server sends the data file and the label set thereof to a cloud storage provider for storage; the verification comprises the following steps: the third-party auditor sends random challenge information to the cloud storage provider, and then the cloud storage provider generates an integrity proof of the data file; and the third-party auditor receives the integrity proof of the data file and checks the validity of the integrity proof to obtain an integrity verification result of the data file.

Provided in the embodiments of the present disclosure are a data processing method, apparatus and system, a hot upgrade method and apparatus for a data forwarding unit, and a computing device, a computer-readable storage medium and a computer program product. The data processing method is applied to a cloud computing server, wherein the cloud computing server comprises a data processing unit and a data forwarding unit. The data processing method comprises: when it is determined that a hot upgrade and an update are performed on a data forwarding unit, creating a newly added process corresponding to the data forwarding unit, and establishing communication connection between initial processes and the newly added process; switching, to the newly added process, an initial process in which communication connection between either one of a data processing unit and a storage unit and the data forwarding unit is performed; and on the basis of the newly added process, and an initial process in which communication connection between the other one of the data processing unit and the storage unit and the data forwarding unit is performed, sending a data processing request received by means of the data processing unit to the storage unit for execution. Using the method can improve the data processing efficiency.

The invention provides a cloud computing service security assessment method and system based on dynamic weight, and relates to the technical field of cloud computing security assessment, the method comprises the following steps: collecting a network flow log, a host system call exception log, a vulnerability scanning report, a security audit track and external threat information flow data, and constructing an original security data cube; and performing data denoising, format standardization and timestamp-based cross-source association fusion on the original security data cube, eliminating data conflicts and redundancy, and generating a three-dimensional discrete security data tensor. The accuracy and reliability of the evaluation result are improved.

The invention relates to the technical field of intelligent traffic fare charging management and control, and particularly discloses an MTC lane collaborative management and control traffic fare charging system, which comprises a collaborative wharf group, a multi-wharf global collaborative server and a cloud side end collaborative architecture of each wharf, the cloud side end collaborative architecture of each wharf is provided with a vehicle identification module, a billing and charging collaborative module, a congestion prediction and dispersion module and a monitoring and exception handling module; and the cooperative wharf group is composed of a plurality of steam transition wharfs with networking cooperative capability in the same water area, and is cascaded with the cloud computing servers of the wharfs through the multi-wharf global cooperative server to execute global data integration and cross-wharf scheduling instruction issuing. According to the method, the contradiction between the identification accuracy and the passing efficiency in a high-interference environment is effectively solved through a cloud side-end collaborative architecture and a dynamic sensor priority adjustment strategy.

Systems and methods are disclosed relating to identity governance and privileged access control in a distributed networked computing environment for cloud based computing services. Embodiments disclosed include a logical model developed to describe the effective access of multiple cloud service providers (CSPs), each of which may be based on different access systems. The resulting system can then provide a singular experience across all CSPs used by users, giving users a clear picture of how access is achieved.

An indoor air cleaning networking mechanism system is applied to air pollution detection and purification tending to zero in the space of an indoor field by utilizing the arrangement of a plurality of gas detectors, at least one piece of control gas molecule hardware equipment, at least one air conditioning device and a networking cloud computing service device in the indoor field. The indoor field domain and the outdoor field domain are provided with gas detectors and an intelligent networking cloud to form an intelligent linkage system, the air quality in the space of the indoor field domain is monitored anytime and anywhere, meanwhile, the air pollution in the space of the indoor field domain is detected, the environment air quality state is intelligently compared, and an air guide fan is immediately controlled to adjust the flow guide air volume according to the air quality; and the energy-saving benefit of operation of the cleaning device is effectively controlled.

This application provides an audio cloning method and related equipment based on cloud computing technology to ensure the security of cloned voice and prevent user privacy leaks. The method is applied to a cloud platform, which manages the infrastructure running cloud computing services. The infrastructure includes at least one data center, and each data center includes multiple servers. The method includes: acquiring original audio from a first tenant; encrypting the original audio to obtain encrypted audio; and storing the encrypted audio in the infrastructure. Acquiring a first text from the first tenant. Decrypting the encrypted audio to obtain the original audio. Synthesizing the original audio and the first text to obtain cloned audio, where the sound features of the cloned audio are identical to those of the original audio, and the content of the cloned audio is the content of the first text.

Systems, devices, and techniques are disclosed for detecting misconfiguration of guest account security permissions. User personas may be generated from user activity data generated by access using guest accounts to controllers of a cloud computing server system. Clusters of user personas may be generated from the user personas. Anomalous user personas may be identified based on the clusters of user personas. A database query that was made to a database of the cloud computing server system, is associated with an identified user persona, and requested sensitive data may be identified from database query logs. A size of a response from the database to the identified database query may be identified from the database query logs. The size of the response may indicate that the response included the sensitive data. The cloud computing server system may prevent use of the guest account associated with the user persona.