104 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.

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.

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 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.

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.

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.

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.

A cloud computing service (e.g., a "Puffin service") is described. The service may maintain backward and forward compatibility between skills and capabilities. The skills may be configured to enable improved tracking of processing that builds the data center. Sometimes, an orchestrator may simultaneously use skills and capabilities to drive build operations. In order to enable both configurations to be utilized, the Puffin service maintains associations between skills and capabilities. These associations enable a skill to be published upon identification of published capabilities, and corresponding capabilities to be published for the published skill, which in turn allows an orchestrator to drive build operations based on any suitable combination of capabilities and / or skills. In this way, previously published capabilities may be identified and represented using system generated skills ("shadow skills"), further enabling compatibility between constructs while avoiding cumbersome data entry.

A positive pressure control method of indoor air cleaning network mechanism system is provided and includes: providing a plurality of gas detectors; providing at least one indoor air pollution processing device; providing a networked cloud computing service device; receiving the carbon dioxide (CO2) pressure detection information and intelligently selecting to issue the control instruction by the networked cloud computing service device; comparing whether the pressure difference of the carbon dioxide (CO2) in the indoor field and the outdoor field reach the balance of zero pressure difference; and receiving the control instruction to control the actuation operation of the air guiding fan by the gas detectors inside the indoor air pollution processing device, wherein the internal circulation air pollution purification and the temperature and humidity adjustment of the indoor field are implemented continuously, whether the pressure difference of carbon dioxide (CO2) between the indoor field and the outdoor field is compared to reach the balance of zero pressure difference, the air guiding fan of the indoor air pollution processing device is controlled to adjust the speed reduction of the air guide volume, so that the instant detection of air pollution purification and the complete clean room treatment are realized, and the cleanliness of cleanroom grade is achieved.

The present invention relates to a method for enhancing the privacy of delegated quantum computing, the method comprising a client (A) whose objective is to solve a computational problem based on sensitive data and / or using a sensitive algorithm, and a cloud computing service provider (B) which has superior quantum computing capabilities to the client (A) and is therefore capable of solving the problem and / or executing the client's desired algorithm, the method comprising a sequence including a) an optical emitter (10) controlled by the client (A) emits at least one pulse (11) having a specific quantum state (S1); b) a quantum emitter (20) controlled by the provider (B) receives the pulse (11); and c) the quantum emitter (20) emits a single photon (21) supporting a photon qubit (Q2), thereby defining a relationship between the quantum state (S1) of the pulse (11) and the photon qubit (Q2). The present invention also relates to a system for carrying out this method.

The present disclosure relates to methods, systems, and computer readable media for analyzing log files for a wide variety of services (e.g., cloud computing services or microservices) to determine whether the services are operating as designed over some period of time associated with the log file(s). The present disclosure includes features and functionality for training or otherwise generating a model being configured to predict whether portions of an input log file include data reflective of normal operations of a corresponding service used to generate the input log file. The present disclosure provides a domain-agnostic approach to training an outlier detection model to analyze log files for a wide variety of services.

A cloud-computing service (e.g., a “Puffin Service”) is described. The service may maintain service and skill catalogs corresponding to various services to be deployed to a region (e.g., during a region build). The service may host numerous user interfaces with which various service and skill metadata may be provided. In some embodiments, such data may include one or more dependencies between skills. The data managed by the cloud-computing service may be utilized to build a dependency graph. Navigation of the dependency graph may be performed via one or more user interfaces hosted by the cloud-computing service. An orchestration service (e.g., a Multi-Flock Orchestrator) may manage bootstrapping efforts for any suitable number of services during a region build based at least in part on dependencies between skills.

The present disclosure relates to methods, systems, and computer readable media for analyzing log files for a wide variety of services (e.g., cloud computing services or microservices) to determine whether the services are operating as designed over some period of time associated with the log file(s). The present disclosure includes features and functionality for training or otherwise generating a model being configured to predict whether portions of an input log file include data reflective of normal operations of a corresponding service used to generate the input log file. The present disclosure provides a domain-agnostic approach to training an outlier detection model to analyze log files for a wide variety of services.

An indoor air cleaning networking mechanism system is applied to air pollution detection and purification tending to zero in a space of an indoor field by utilizing a plurality of gas detectors, at least one piece of gas molecule control hardware equipment and a networking cloud computing service device in the indoor field. An intelligent linkage system is formed by configuring gas detectors in an indoor field domain and an outdoor field domain and arranging a gas detector networking cloud in each piece of gas molecule control hardware equipment, so that the start of the gas molecule control hardware equipment is controlled in a linkage manner in real time, and the air quality of the indoor field domain is monitored anytime and anywhere; and each piece of control gas molecule hard equipment comprises at least one air guide fan, at least one filtering assembly and at least one driving controller for networking control of drainage, air pollution detection, purification, filtration and zero approaching treatment, so that the cleanliness of the dust-free room grade is achieved.

Systems, devices, and techniques are disclosed for vulnerability detection for cloud computing systems. A security inventory of a cloud computing server system may be received. A graph database may be generated based on the security inventory of the cloud computing server system. A natural language description of a security vulnerability may be received. A graph query may be generated from the natural language description of a security vulnerability using a generative neural network. The security vulnerability may be detected in the cloud computing server system by running the graph query against the graph database. A report indicating the presence of the security vulnerability in the cloud computing server system may be generated. An action to remediate the security vulnerability in the cloud computing server system may be performed.

A system is provided including a database and a server. The database stores a plurality of cloud computing service accounts created on a cloud computing platform, a plurality of roles associated with each cloud computing service account, and a plurality of policies associated with each role. The server is in data communication with the database and containing a role risk rating engine. The role risk rating engine is configured to: select a first role of the plurality of roles from the database; retrieve the plurality of policies associated with the first role; determine a risk rating for the first role based on the plurality of policies associated with the first role; store the risk rating of the first role in the database; receive a query requesting the risk rating of the first role; and in response to the query, transmit the risk rating of the first role.

An intelligent networked energy recovery ventilator is disclosed and includes a main body, at least one filtering and purification component, at least one blower, a heat exchanging core, at least one host drive controller and at least one gas detection module. The gas detection module is disposed within the main body and electrically in communication with the host drive unit. The gas detection module detects temperature, humidity and air pollution and outputs detection data. The environment data is transmitted to a networked cloud computing service device through internet of things. The networked cloud computing service device monitors the detection data in real-time, intelligently choose and send a control command to the gas detection module to control the host drive controller to turn on the blower and dynamically adjust an operation frequency and an output air volume of the blower. The air circulation and heat exchange between indoor and outdoor areas can therefore be realized.