200results about How to "Improve resource usage" patented technology

The invention provides a channel detection notification method, a channel detection notification system and base stations used when an LTE system works at an unauthorized frequency band. The channel detection notification method includes the steps that the primary cell base station receives RRM measuring results, reported by a terminal, of multiple base stations at the unauthorized frequency band; according to the RRM measuring results of the base stations, the secondary cell base station is selected for the terminal; if it is determined that downlink traffic reaches a set first traffic threshold value, the secondary cell base station is informed to conduct downlink channel detection; if it is determined that uplink traffic reaches a set second traffic threshold value, the secondary cell base station and / or the terminal are / is informed to conduct uplink channel detection. According to the channel detection notification method, channel detection work conducted when the LTE system works at the unauthorized frequency band is managed by the primary cell base station in a united mode, the time delay generated when the secondary cell base station and / or the terminal carry / carries out channel detection can be effectively shortened, accuracy at which channel detection time is judged can be improved, and the resource utilization rate is increased when the LTE system works at the unauthorized frequency band.

A software application for monitoring the performance of other software applications on mobile devices using efficient crowd sourced data and efficient proxies for performance of the applications.

The embodiment of the invention discloses an asynchronous batch-processing dispatching method, which comprises the following steps of receiving a batch-processing business request, and statistically calculating the transaction-processing data volume of batch-processing business; judging whether the transaction-processing data volume is greater than a data threshold value or not; if so, then analyzing the business type of asynchronous batch-processing business; when the asynchronous batch-processing business is analyzed as a real-time dispatching task according to the business type, carrying out real-time dispatching processing on the asynchronous batch-processing business; when the asynchronous batch-processing business is analyzed as an asynchronous dispatching task according to the business type, carrying out asynchronous dispatching processing on the asynchronous batch-processing business. By adopting the asynchronous batch-processing dispatching method, uniform batch-processing business developing frameworks are provided and are easy for developing extension, operation and maintenance, monitoring and exception processing, so that the batch-processing dispatching flexibility is improved; in addition, distribution processing is carried out according to different business types, and different business types can correspond to different task-processing ponds, so that the utilization rate of resources is effectively improved.

The invention discloses a high-cost-performance CDN system, and file pre-push and fragment buffer memory methods, and relates to the field of an IO subsystem performance improving technology in a computer network. Active pre-push of a large file is realized through a file pre-push background and a buffer memory server with a consistency Hash module, at the same time, segment buffer memory of the large file is realized by use of a back-to-source agent module, the back-to-source bandwidth and the storage space used by each file in system service are effectively reduced, the utilization rate of resources is improved, and the application cost is decreased. Besides, through a multilayer storage system, the integral storage performance of the system is effectively improved, and the service performance of the system is further enhanced.

The embodiments of the invention disclose a cloud platform resource self-adaptive early warning method and system. The method comprises: a node management unit, according to a first preset period, acquiring various resource consumption data of a physical machine and each virtual machine and reporting to a resource analysis early warning server; the resource analysis early warning server, according to a second preset period, analyzing the various resource consumption data and predicting the various resource consumption data of the physical machine and each virtual machine at each acquisition point in the future; monitoring the operation load of the physical machine in real time, and if the operation load exceeds an early warning threshold, acquiring the various resource consumption data of each virtual machine at current time and analyzing whether a change rate is greater than one compared to previously predicted various resource consumption data; if the change rate is greater than one, repredicting the various resource consumption data of each acquisition point in the future; and when predicted various resource consumption data exceeds a preset alarm threshold, carrying out event notification. According to the embodiments of the invention, the various resource consumption data of the virtual machines in the future can be predicted and analyzed, thus support is provided for regular adjustment of resource distribution.

In a system with multiple requesters making multiple requests for resources, an arbiter prioritizes requests based on the number of requests made by a requester. The highest priority is given to a requester that has made the fewest number of requests. Priority may instead be based on the number of requests made for a particular resource. Priority may also be based on a combination of number of requests made by a requester and number of requests made for a resource. The arbiter may also implement a starvation avoidance mechanism such as a round robin scheme.

The invention discloses a keyword-based universal and distributed automated test engine. The test engine consists of a test main control end and multiple test service nodes, and comprises eight majorfunctional modules of test execution, resource management and driving, model development and operation, case development and management, static excitation, test data monitoring, test record management, and user management. The test main control end mainly provides maintenance and management of system resources, information and data for users; and the test service nodes mainly realize management and driving of test resources and specific execution of test services. The test engine is a software core of an automatic test platform, is designed based on IEEE1226 standards, and provides an open interface for secondary development and expansion; a distributed framework has a test resource flexible configuration capability; and the introduction of a keyword concept simplifies a test case writingprocess and can realize extended test object-oriented all-level test and test platform reuse.

The invention discloses an Internet of Things intelligent gateway. The Internet of Things intelligent gateway comprises a central processor, the central processor is electrically connected with a data pre-processing unit, a middleware processing unit, a multi-protocol processing unit, and an initialization interface, the data pre-processing unit comprises a data rule register module, the middleware processing unit comprises a node register module, the multi-protocol processing unit comprises a protocol memory module, and the data rule register module, the node register module, and the protocol memory module are electrically connected with the central processor. According to the Internet of Things intelligent gateway, data inputted by a front terminal can be pre-processed via the corresponding data rule, pre-processed intermediate data and result can be stored, cache is provided for data waiting for communication channel distribution, a lot of data pre-processing and data decoding can be performed, the burden of the network is greatly reduced, the network transmission efficiency is improved, and the burden of a background server is also reduced.

The invention discloses an on-line transaction method and system, the method comprises the steps that: (1) an IP address library to represent the corresponding relationship between the IP addresses and geographical regions is established on a network business platform; (2) an issuing request emitted by a first client is received by a website server, issuing information of the first client this time is saved on a database, the issuing information further contains a freight management library which represents the corresponding relationship between the geographical regions and freights; (3) when a second client logs in the network business platform, the website server firstly obtains the IP address of the second client, matches the corresponding geographical region from the IP address library according to the IP address and then finds the corresponding freight from the corresponding freight management library to display. The method and system of the invention can automatically display the freight according to the IP address of the client, thus solving the technical problem that every buyer needs to query the freight cost by the transaction before the purchase, which easily causes the waste of resources and the congestion during the visiting.

The embodiment of the invention provides a container resource scheduling method, which comprises the following steps of: obtaining resource prediction information according to a to-be-predicted service ID, a to-be-predicted duration and a pre-trained resource prediction model, and converting the resource prediction information into container prediction information; and when the resource predictioninformation satisfies a first preset condition, obtaining a container resource request and a node list, performing a preset scheduling operation according to the container resource request and the node list so as to obtain a target node, creating a target container for the to-be-predicted service according to the container prediction information, and deploying the target container at the target node. The invention further provides a corresponding device and a computer readable storage medium. Through the method, capacity expansion can be achieved in advance, resources are reasonably distributed, and the resource utilization rate is increased.

The invention discloses an optimized deployment resource and software delivery platform in a cloud computing environment, the software delivery platform comprises a server and a Worker, the server isresponsible for calling a development software API, and issuing a software delivery instruction and a monitoring instruction to the Worker; an API (Application Program Interface) service, Docker mavenplug, Gitlab, Jenkins, Grafana, Prometheus, Harbor, Haproxy, Kubernetes, Keepalived, and a database storage module DataBase are deployed in the server. The resource utilization rate in a cloud computing environment is improved, and configuration is simplified; and the cost expenditure is reduced, the investment of operation and maintenance personnel is reduced, and the continuous service deliveryis more, fast, good, economical and stable. Business lateral extensions are realized.

The utility model discloses a system used for creating the chatting platform and comprises a chatroom creating and originating client and a server background chatroom creating system, wherein the chatroom creating and originating client is used for providing the customer with an operation interface for creating the chatroom, acquiring the creating information submitted by the customer and transmitting the acquired creating information to the server background chatroom creating system; the server background chatroom creating system is responsible for receiving the chatroom creating information from the chatroom creating and originating client, creating the chatroom based on the received creating information and noticing the chatroom creating and originating client with the created chatroom information. The utility model also discloses a method for creating the chatting platform; the utility model can enable the customer to initiatively create the chatroom based on the self-requirement and ensure the customer to participate in the self-interested topic.

A software application for monitoring the performance of other software applications on mobile devices using efficient crowd sourced data and recommending third party software apps based on a user's demographics and mobile device data.

Disclosed are an endoscopic image processing method, apparatus, system, and storage medium. The method includes: acquiring a first endoscopic image for a human body part; Creating a depth convolutionnetwork for predicting an endoscopic image, and determining training parameters of the depth convolution network based on the first endoscopic image and at least one second endoscopic image transformed from the first endoscopic image; And acquiring a current endoscopic image of a user to be examined, predicting the current endoscopic image based on a depth convolution network and training parameters, and determining an organ type corresponding to the current endoscopic image. The method of the invention makes the prediction process more intelligent and more robust, and improves the resource utilization rate of the processing device.

A distributed arbiter prioritizes requests for resources based on the number of requests made by each requester. Each resource gives the highest priority to servicing requests made by the requester that has made the fewest number of requests. That is, the requester with the fewest requests (least number of choices) is chosen first. Resources may be scheduled sequentially or in parallel. If a requester receives multiple grants from resources, the requester may select a grant based on resource priority, which is inversely related to the number of requests received by a granting resource. In order to prevent starvation, a round robin scheme may be used to allocate a resource to a requester, prior to issuing grants based on requester priority.

A method is provided for transmitting / receiving data in a communication system. The method includes allocating, by a Base Station (BS), bands unused in a band Adaptive-Modulation-and-Coding (band AMC) scheme to Mobile Stations (MSs) of a diversity scheme, and transmitting data by adaptively using the band AMC scheme and the diversity scheme; and identifying, by an MS, resources allocated to the MS, and transmitting data by using either the band AMC scheme or the diversity scheme according to a result of the identifying.

The invention discloses a PaaS cloud implementation method based on containers. The method comprises following steps: saving configuration information of all containers and providing disposition; a deployment strategy ensuring that multiple containers under the same APP are scattered across different hosts; performing management on the host and containers and one physical cluster being corresponding to multiple projects, etc.. Therefore, the introduction of containers into the cloud computing basic resource delivery to provide PaaS layer services is realized, reducing waste of resources caused by the traditional PaaS products using virtual machines, increasing disposition efficiency and reducing exploitation and test period for users; the method is a lightweight VM solution scheme based on process containers, realizing a resource isolation and quota of an application program grade; Compared with the traditional cloud infrastructure system implementation, the container-based cloud service system has lower cost of overall ownership, higher resource utilization and is more stable and reliable, which further enhances the virtualization efficiency, improves resource utilization, accelerates enterprise devops process, and provides fast and effective support services for applications.

The invention relates to a management reservation system of an open laboratory and a working method thereof, comprising a background management module, an access control module and a station dynamic two-dimensional code module. The access control module is connected to a server via a RS485-USB, and obtains the access control authorization instruction of the corresponding laboratory issued by the server through a 485 communication line, so as to control the switch of an electromagnetic lock. The station dynamic two-dimensional code module is used to generate a two-dimensional code that stores instructions and notice information of the instruments of the corresponding laboratory. According to the system connected to the Internet through the server, the user can fill out a laboratory application form online through the computer or jump to the corresponding link through the laboratory reservation function in Wechat to complete the laboratory reservation, and apply for the laboratory authorization. The administrator approves and authorizes the use of the student during the time period of use of the corresponding laboratory, views and exports a laboratory usage record by an administratorend. Therefore, the reservation is really realized at anytime and anywhere without a fixed place, the paperless office also is realized, and the use of the laboratory resource is increased.

The invention provides a large-scale website vulnerability scanning method and device and electronic equipment, and relates to the technical field of information security. The large-scale website vulnerability scanning method is applied to a physical machine or a virtual machine and comprises the steps that an image file used for containerized vulnerability scanning is built; on the basis of a publishing instruction of a user, the built image file is published into a local image repository; when the physical machine or the virtual machine obtain a vulnerability scanning instruction, an image file is called from the image repository to be subjected to containerized deployment; website vulnerability scanning is conducted on the basis of the deployed image file. According to the method, the image file built in advance is subjected to containerized deployment, and then website vulnerability scanning is conducted through the deployed image file; by means of the containerized deployment mode, one button extension and shrinking engine cluster can be achieved, manual and repetitive work is greatly reduced, and meanwhile the steps of the vulnerability scanning process are optimized, so thatthe resource utilization rate is increased, and the performance is improved.

Specific to the technical problems that an existing manual application construction method is low in resource utilization rate, application construction time is long and management is difficult, the invention provides a microservice architecture application automatic construction method based on a container. Flow of the method is as follows: 1, an arrangement device is improved, namely a businessarrangement module is added in the arrangement device of an existing container arrangement architecture based on a DNS load balancing technology, wherein the improved arrangement device comprises a resource arrangement module, a capacity expansion module and the business arrangement module; 2, the improved arrangement device is deployed into an operating system, and the improved arrangement deviceconstructs an application with the name of App by virtue of the business arrangement module, wherein the application App possesses N services; and 3, microservice architecture application automatic construction based on the container is completed, and the method is finished. The method provided by the invention utilizes a container technology for constructing a management microservice application, a management microservice is replaced by using a management container, operation and maintenance complexity and difficulty are reduced, application construction time is effectively reduced, management capability is improved, and a large number of tasks of different types can be processed.

The invention discloses a simulation cloud platform and an implementation method. The simulation cloud platform comprises a user data storage server, an analysis server and an HPC (High Performance Computing) workstation cluster, wherein the analysis server is used for receiving and checking work tasks submitted by simulation analysis personnel, storing the work tasks and analysis data of the work tasks in the user data storage server, calling a co-simulation module to perform modeling task decomposition, allocating subtasks after decomposition to relevant modeling personnel, performing model integration after modeling, submitting analysis tasks to the analysis server and submitting computation tasks to the HPC cluster through the analysis server to perform analysis computation. The simulation cloud platform and the implementation method allow simulation working personnel to communicate with design personnel, management personnel, special equipment using units or any other relevant personnel at any stage of simulation. Analysis personnel can perform special equipment collaborative joint simulation based on the cloud platform, the simulation efficiency is obviously improved and the security of user information is guaranteed.

The present invention discloses a heterogeneous platform oriented energy consumption optimization scheduling method. The method comprises the following steps of: acquiring resource information of all heterogeneous physical nodes and sending the resource information to a virtual resource configuration decider; the virtual resource configuration decider calculating a virtual resource share corresponding to each heterogeneous physical node and performing modification correspondingly; refreshing configuration information of all the heterogeneous physical nodes to update the virtual resource share of each heterogeneous physical node, restarting the platform, receiving a job submitted by a user and putting the job into a job queue; a cluster platform extracting one job from the job queue and cutting the job into a plurality of tasks according to the size of a data block; and calculating the virtual resource share required by the job according to a DRF(Dominant Resource Fairness) algorithm, and the cluster platform distributing the virtual resource share required by the job to the job according to an energy consumption optimization scheduling algorithm. The heterogeneous platform oriented energy consumption optimization scheduling method provided by the present invention has the advantages of improving the platform resource scheduling efficiency by fully using a resource heterogeneity feature of the cluster platform, reducing energy consumption of platform task scheduling and the like.

Disclosed are a method, system and device for acquiring quality of service of a wireless access point (AP), the method comprising: a user equipment (UE) detects the quality of service of an AP according to a detection instruction transmitted by a network side device; and the UE reports the quality of service detection result of the AP to the network side device.

The invention discloses media platform architecture for cloud calculation. The media platform architecture comprises an MDC pubic function module layer, an IaaS middleware uniform interface layer and a resource pool layer. The SOA structure is adopted for the resource pool layer. The same functions are abstracted from devices or software of all manufacturers. The resource pool layer comprises a plurality of resources independent of one another. The IaaS middleware uniform interface layer comprises a plurality of middleware interfaces composed of a plurality of resources, and each middleware interface provides a unique function. The MDC public function module layer comprises a plurality of public function modules composed of a plurality of middleware interfaces. By centralizing and automatically managing all service resources through a platform, the work efficiency is greatly improved, the resource utilization rate is greatly increased, and enterprises can respond to cloud calculation service requirements in a faster, more effective and low-cost mode.

Embodiments of the present application disclose a method and an apparatus for managing a virtualized network function, and relate to the field of virtualization technologies, so as to improve work efficiency and resource usage. The method provided in the embodiments of the present application includes: allocating a resource to and configuring deployment specific parameters for a to-be-instantiated virtualized network function (VNF) to obtain a semi-instantiated VNF; and storing information of the semi-instantiated VNF, where the information of the semi-instantiated VNF includes an identifier of the semi-instantiated VNF, resource information of the semi-instantiated VNF, and deployment specific parameters of the semi-instantiated VNF.

The invention relates to a method for realizing a mobile communication network media multicast business, comprising: a step 1 that a gateway node sends a notification message including a corresponding IP multicast address to a user device and a communication node which supports an IP multicast in the lower course; a step 2 that if the communication node receiving the notification message adds to a corresponding multicast group or all downstream nodes support the IP multicast, a step 3 is executed, if not after adding to the corresponding multicast group, the step 3 is executed; the step 3 that a multimedia server sends multimedia multicast business content to the communication node adding to the IP multicast group; a step 4 that the communication node sends the multimedia multicast business content to the downstream nodes which don't support the IP multicast or a user terminal. The invention can reach to beneficial technical effects of effectively saving up bandwidth, effectively reducing pressure for the communication node to transmit data, improving operating factor of network equipment and occupying coefficient of media resources, and increasing capacity of systems and expandability of business.

The invention discloses a virtual machine scheduling method for supporting energy consumption optimization of a cloud data center. The method comprises the following steps that firstly, a data set isrecorded based on the occupancy of a virtual machine case, and a list of physical machines in a running state in the cloud data center and a list of virtual machines in a running state in the cloud data center are obtained; secondly, according to the occupancy state of the virtual machine case, the free space of the physical machines in the running state in the first step is obtained; thirdly, according to the resource requirements of the vertical machines and the free space, obtained in the second step, of the physical machines, heuristic search is adopted, and feasible virtual machine migration strategies are obtained; fourthly, energy consumption values of the cloud data center for task execution and virtual machine migration are calculated; fifthly, according to the virtual machine migration strategies obtained in the third step, a set of the energy consumption values generated by the cloud data center after virtual machine migration operation is calculated by using the fourth step; sixthly, according to the energy consumption values obtained in the fifth step, the virtual machine migration strategy which is optimal in energy consumption is selected as the final virtual machinescheduling strategy.

The present invention discloses a storage management method of high-capacity electronic mail and its system. Said system includes mail server, mail management module connected with the mail server and storage proxy module. Besides, said invention also provides its storage management method, including the steps of centrally-managing physical storage information, user information and mail information, analyzing storage information, storing mail, delivering mail and regulating mail distribution, etc. Said invention can raise the utilization rate of whole system resource greatly.

The invention discloses an unified data center management system and a management method thereof. The unified data center management method comprises the steps of basic information management, resource planning management, resource management, process management, operating and maintenance management, task management, resource optimization, resource monitoring and system setting; the unified data center management system comprises a basic information management module, a resource planning management module, a resource management module, a process management module, an operating and maintenancemanagement module, a task management module, a resource optimization module, a resource monitoring module and a system setting module. By means of the unified data center management system and the management method thereof, operating and maintenance operation and processes can be regularized, physical resources and virtual resources are managed uniformly, an uniform interface, uniform management,uniform application and uniform allocation are achieved, the resource utilization rate is improved, energy consumption is effectively controlled, the automation management degree of a data center is improved, and manual involvement is reduced so that the personnel training cost can be reduced, and the management efficiency is improved.

The invention provides a Pod resource quota configuration method and device, and relates to the technical field of container arrangement, and the method comprises the steps: obtaining the initial resource quota data and resource use trend data of a Pod; and if the resource use trend data reaches a first preset condition, adjusting the initial resource quota data according to a preset configurationrule to obtain a Pod resource quota configuration result. According to the invention, the resource quota data of the Pod can be dynamically configured, so that the resource quota data of the Pod is closer to the actual occupation data, the resource utilization rate of the cluster is greatly improved, and the resource waste is reduced.