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.

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 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 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 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 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.

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 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.