22 results about "Cloud computing" patented technology

The invention is applicable to the technical field of cloud computing, and provides a cloud computing application method, a cloud computing application system and terminal equipment, and a cloud computing platform. The cloud computing application method comprises the following steps that: the terminal equipment acquires and recognizes a face image and then transmits the recognition results; and the cloud computing platform receives the recognition results and implements the application related to the recognition results according to the recognition results. The cloud computing application method provided by the invention has the benefits that cloud computing application is combined with a face recognition technology, the face image is acquired and recognized by utilizing the terminal equipment, and the corresponding application is implemented by the cloud computing platform according to the face image acquired by the terminal equipment; the cloud computing application method can be widely applied to the field of commodity consumption; and compared with the prior art, different ages, different genders and other features can be distinguished, so that the cloud computing application is widened, people obtain better experience in a consumption pattern, and knowing the development direction of a product and the consumption demand of a consumer to establish a good interaction between the consumer and the company is facilitated for the company.

The invention provides a local dynamic migration method and control system based on a Docker container technology, and belongs to the technical field of cloud computing. The problem of resource wastein an existing container migration technology is solved. The method determines the appearing of an overload server and triggers container migration according to the node resource usage rate and the predicted resource usage rate in the last n sampling periods; for the selection of a to-be-migrated container in the overload server, a container with large total usage rate and smaller internal storageis selected firstly to achieve the effect of balancing load while reducing migration overhead. For the selection of a target server, firstly enough available resources in the target server are ensured. For the case where a new container is generated in the migration process and the target server is overloaded caused by paralleling, it means that there is no server which can accommodate the container in all servers in the cluster, so that there is no need to migrate the container and replace the to-be-migrated container. The local dynamic migration method and control system improve resource utilization and reduce task execution time.

The invention discloses a load balance strategy for allocating service resource based on a cloud computing environment. User need with a given quantity within a unit time in the cloud computing environment is used as a batch processing target to be batched, a large task is segmented by a map/reduce model into a plurality of subtasks with independent logics, a hardware physical resource is virtualized to a virtual service resource, and the subtasks are allocated to the virtual service resources. A corresponding weight is used for respectively representing the processing performance of each service resource and the specification of each service demand and a greedy algorithm is used for conducting the solution, so that the problem that the load is unbalancedly allocated in the existing cloud computing environment can be effectively solved.

The invention discloses a database access method and a database access system based on cloud calculation. The database access method based on cloud calculation comprises the following steps of: receiving the database access request sent by a cloud user; matching database metadata carried in the database access request with the metadata of each database in a cloud system, and determining the database to be accessed according to the database access request; analyzing the database access request to obtain an SQL statement; executing the SQL statement on the current database connection of the user to obtain an execution result; converting the execution result to the data format used by the cloud user and then feeding back to the cloud user.

The invention discloses a college entrance examination voluntary reporting decision support system based on cloud computing. The system is a unified and reliable decision support system established by use of basic facilities and a platform provided by cloud computing for all colleges and universities of china to dynamically issue admission information and helping examinees with completing the volunteer. The college entrance examination voluntary reporting decision support system based on cloud computing overcomes the defects of blindness, loss, information asymmetry and the like in the existing college entrance examination voluntary reporting process; an informationized platform is provided for examinees to completing the volunteer by use of the characteristics of high reliable and low cost of the cloud computing, and the scientificity and the efficiency of voluntary reporting are improved.

The invention discloses a fault prediction method and device, electronic equipment and a storage medium, and relates to the field of cloud computing and fault processing. According to the specific implementation scheme, the method comprises the steps of obtaining a fault alarm request, wherein the fault alarm request is obtained by at least two fault triggering parameters in a fault and a hidden danger generated by cloud operation and a change generated by a terminal in user-level operation; analyzing the fault alarm request to obtain at least two fault triggering parameters in the fault, thehidden danger and the change; establishing association between at least two fault triggering parameters in the fault, the hidden danger and the change to obtain an association result; and predicting afault causing the fault alarm request according to the association result to obtain a fault prediction result. According to the invention, the accuracy of fault prediction can be improved.

The invention belongs to the technical field of cloud computing and operation and maintenance, and discloses an automatic telescoping method and system combining load adjustment and periodic adjustment, and the method comprises the steps: grouping all servers in a system, and setting load overload lines for each group and each server in the group; traversing each server in the group, calculating the real-time load of each group, wherein the real-time load of each group is obtained by dividing the sum of specified index values of the servers in the group by the sum of maximum index values, and the specified index values are subjected to differential assignment according to whether the current load of each server in the group exceeds a set overload line or not; and according to the load calculation result of each group, judging whether the group needs to be subjected to server capacity expansion or not. According to the invention, the problem of low load distribution reliability in the existing cloud service system is solved.

The invention discloses a mobile application real-time identification method based on cloud computing, and the method comprises the steps: constructing a cluster consisting of multiple computers, expanding computing resources, carrying out the parallel identification of multiple classifiers, preventing the collapse of the whole system caused by the collapse of one node in the cluster, and improving the stability of the system; forwarding The captured data by taking the data packet instead of the data flow as a unit, so that the system resource waste caused by waiting for receiving the data isreduced, and the effect of real-time identification is achieved; For the situation that a new to-be-identified application type needs to be added, without retraining a model , using the original identification model as usual, and collecting only new application related data needs, training a new identification model and running in parallel with an old model, so that a new application identification effect can be obtained.

The invention discloses a device state monitoring terminal, system and method based on perception hash. The device state monitoring terminal receives a classifier trained by a cloud computing server by using a historical device state hash code; the device state monitoring terminal collects a real-time signal of the device state; the device state monitoring terminal converts the collected real-timesignal of the device state into a real-time device state hash code by using a perception hash algorithm; the device state monitoring terminal sends the real-time device state hash code to the cloud computing server, and the cloud computing server performs accumulative storage on the received real-time device state hash code and uses the real-time device state hash code as the historical device state hash code; and the device state monitoring terminal classifies the real-time device state hash code and outputs the device state. The dimension of data transmitted in the device state monitoringis reduced, the occupation of network bandwidth and server storage resources is reduced, the computing burden of the cloud computing server is reduced, and in-depth mining of device state informationis achieved.

The invention discloses an event processing method under cloud computing environment. The method comprises the following steps: in the using and managing process of a target resource object contained in the cloud computing environment, if the target resource object needs to consume the event generated by other resource objects, according to a preset matching rule, determining a to-be-consumed event of the target resource object; determining whether the to-be-consumed event exists in an event queue; if so, extracting and consuming the to-be-consumed event. The provided technical solution is used for effectively processing the various events under the cloud computing environment, and improving the event processing efficiency and accuracy. The invention further discloses an event processing device under the cloud computing environment. The device has the corresponding technical effect.

The embodiment of the invention discloses an on-cloud service release access method, device and system, and relates to the field of cloud computing. A specific embodiment of the method comprises the following steps: in response to a received release node creation instruction, creating a service release node in a first virtual private cloud, the service release node being used for receiving an access request from a second virtual private cloud to which a service network card belongs through the service network card, the access request is sent to a service corresponding to the access request in the first virtual private cloud through the load balancing device; and publishing the service in the virtual private cloud to which the service publishing node belongs through the service publishing node. According to the invention, the service release node opens the service to the user for access in the cloud computing intranet, and the user can access various services on the cloud in the cloud computing intranet without exposing an IP address and port information in a public network, so that the safety of service access is improved.

The invention provides a monitoring method and device applied to a container cloud platform, electronic equipment and a computer readable storage medium, and belongs to the field of cloud computing. The monitoring method comprises the steps of M first server nodes needing to run a message push gateway component push being marked in the container cloud platform, wherein M is an integer larger thanor equal to 1; deploying a message push gateway component pushgateway in each of the first server nodes in a manner of daemonset resource type; and acquiring a monitoring index of the first server node where the first server node is located by utilizing the message push gateway component deployed in each first server node so as to provide the monitoring index to a monitoring system of the container cloud platform.

The invention relates to a red and blue lamp body driving method utilizing cloud computing. The method comprises the steps that employing a red and blue indicating mechanism; and using a data extraction device for executing field image data acquisition operation on the paper money below the data extraction device so as to obtain and output a corresponding field paper money image. The red and blue lamp body driving method based on cloud computing is reliable in principle and effective in data. Due to the fact that the numerical analysis mechanism of mean value analysis and mean square value analysis is introduced to identify the authenticity of the on-site paper money, accidents of missing detection or wrong detection are avoided.

The invention discloses a centralized port fertilizer bag cutting platform and method, belongs to the technical field of cloud computing fertilizer bag cutting, and aims to solve the problems that a bag cutting platform in the prior art increases the workload of operators, is low in automation degree, cannot realize centralized bag cutting and is low in bag cutting efficiency. A bag cutting operation table is arranged above the supporting base, the bag cutting operation table is movably connected to the supporting base through a traction discharging mechanism, a bag cutting mechanism and a pressing and holding mechanism are arranged on the bag cutting operation table and located at the two ends of the bag cutting operation table respectively, and a cloud computing operation panel is arranged on the bag cutting operation table. According to the port chemical fertilizer concentrated bag cutting platform and method, concentrated bag cutting of packaging bags can be achieved, manual bag cutting and unloading of operators are not needed, the workload of the operators can be relieved, automatic bag cutting and unloading can be achieved, the automation degree is high, and the bag cutting and unloading efficiency is improved.