135 results about "Cloud resource management" patented technology

The invention provides an operation management method of an electric power system cloud simulation platform. The electric power system cloud simulation platform comprises a cloud simulation resource management system and a cloud simulation application supporting system. The method comprises the following steps that the cloud simulation resource management system is constructed; the cloud simulation application supporting system is constructed; the safety of the electric power system cloud simulation platform is determined; operation management of the electric power system cloud simulation platform is carried out. Cloud simulation analytical calculation application is achieved, multiple users can carry out currents, transient stability, small interference, short-circuit currents and other simulation calculation functions on one or more sets of data according to the permission in the mode of facing network services, and the limitation that services and data of standalone version software cannot be shared in large-scale interconnected power grid analytical calculation is eliminated.

The invention relates to a cloud service accessing gateway system and a cloud service accessing method. The cloud service accessing gateway system comprises a client side, a cloud service accessing gateway and a cloud resource server. The cloud service accessing gateway comprises three functional layers including a user interaction layer, a safety certification layer and a single sign-on layer. According to requirements on security and management of the cloud service accessing gateway system, frequent data transmission and synchronous information processing are performed among the cloud service accessing gateway, the client side and the cloud resource server, so that coordination action of cryptographic authentication and single sign-on is realized. The cloud service accessing method includes: a user of the client side logins in the cloud service accessing gateway system to get login authentication via conversation initializing units like request interaction, resolution, message audit and resource authorization; the user logins in the cloud service accessing gateway to request a cloud service; and the user logins in the cloud service accessing gateway for cloud service migration. Via forms of one-time registration, one-time login-in and multiple times of accessing, procedures for the user to use the cloud service are simplified, and great convenient conditions are provided to management of cloud resources.

The invention discloses a cloud computing based online processing task management system for monitoring video. The system is respectively connected with a client and a front end camera and comprises an intelligent video analyzing algorithm management module, a cloud resource management module, a cloud computing physical resource model and a virtual intelligent video analyzing server. The invention further discloses a cloud computing based online processing task management method for monitoring video. According to the method and system, a group of interconnected server groups in a data center is unified to be managed by the cloud computing technology, and the server groups coordinate to provide a user the intelligent monitoring video online processing task management service; the system is high in telescopic performance; the intelligent video analyzing algorithm can be dynamically configured as requirement, thus the management is convenient, and the cost is greatly reduced; in addition, the video processing task provided by the user can be reasonably dispatched to enable balanced load of the computing groups, and therefore, the resource utilization rate is increased, and efficient cloud computing service is provided to the user.

The invention discloses a cloud desktop management system based on a security gateway and a security access control method thereof. The method comprises the steps of providing a uniform security entrance by an SAG (Security Access Gateway) security gateway, and shielding an internal network; supporting a cluster, and dispatching and distributing requests by a management node; adopting a token mechanism; providing a management interface. The method provided by the invention comprising the steps of building the mapping between an external connecting port and the internal network by adopting a linux firewall NAT (Network Address Translation) technology, and providing the uniform security entrance to shield the internal network; supporting the cluster, supporting a frame of a plurality of management nodes and a plurality of Agent nodes by adopting a flexible frame and a flexible deployment way, and distributing requests by the management nodes; adopting the token mechanism to map the port and keeping the connection, and ensuring the manageability of client access and connection. The network isolation between the client and an application server can be realized, i.e. the client and the applying server are arranged at different network segments, therefore the client cannot directly visit the applying server, but can visit the resource of the applying server through a virtual machine, and the security of the virtual resources can be ensured.

The invention provides a public security traffic management data brain, which can realize integration and data integration of traffic management systems in various places, improve the deep applicationcapability of data information and enable the traffic management system to have higher collaboration. Meanwhile, the invention further discloses a construction method of the brain based on the publicsecurity traffic management data. The system comprises a facility layer, a platform layer and an application layer, wherein the facility layer comprises a traffic management special cloud infrastructure and a cloud resource management system, and the platform layer is used for accessing, integrating, storing and processing various traffic management information resources and providing resource services for the outside and comprises a unified data exchange system, a video AI application platform and a big data resource pool; and the application layer provides application functions and servicesfor various traffic management users, and comprises a digital traffic geographic information system and an intelligent collaborative management and control application platform.

The invention provides a method for managing and dispatching cloud resources, which comprises the following steps: dividing a value range of each attribute of the resource into a plurality of attribute areas, distributing corresponding logic area index number to each attribute area, mapping each resource to a united area index determined by the logic area index number attributed to each attribute value of the resource, when receiving a resource request of a user, determining the logic area index number of the restrict upper limit and the restrict lower limit of each attribute of the requested resource, gaining a plurality of united area indexes satisfying the resource request, then selecting one united area index from the united area indexes, selecting one resource from a logic resource pool corresponding to the selected united area index, and providing the resource to the user. The method can satisfy the requirements of the user resource request with high concurrence degree and the resource renovation with high frequency in the cloud computing environment.

The invention discloses an intelligent teaching system based on cloud computing and internet-of-thing technology. The system comprises a cloud computing server and learning terminals. The learning terminals are in communication connection with the cloud computing server through a network. The cloud computing server comprises a cloud acquisition module, a cloud storage module, a cloud resource management module and a cloud sharing module. The cloud acquisition module is connected with the cloud storage module through the network; and the cloud storage module is connected with the cloud sharing module through the cloud resource management module. Through the mode above, the system can enable campus teaching, scientific research and management to be integrated with campus resources, thereby realizing an intelligent teaching and information sharing learning mode, improving utilization rate of teaching resources, and improving use convenience of the learning terminals; the teaching resources can be managed better; and by classifying and grading the teaching resources, logic and hierarchy of the teaching resources are improved, thereby facilitating users to realize targeted demands and application according to needs of themselves.

A management method of cloud resources is provided for use in a hybrid cloud system with first and second cloud systems, wherein the first cloud system includes first servers operating first virtual machines (VMs) and the second cloud system includes second servers operating second VMs, the method including the step of: collecting, by a resource monitor, performance monitoring data of the first VMs within the first servers; analyzing, by an analysis and determination device, the performance monitoring data collected to automatically send a trigger signal in response to determining that a predetermined trigger condition is met, wherein the trigger signal indicates a deployment target and a deployment type; and automatically performing, by a resource deployment device, an operation corresponding to the deployment type on the deployment target in the second cloud system in response to the trigger signal.

Methods and systems of managing computer cloud resources, including at least one database, at least one server configured to, act as an orchestration site, wherein the orchestration site is configured to receive at least one cloud resource management plan from at least one user and store the at least one plan in the at least one database and act as an orchestration manager. The orchestration manager is configured to retrieve the at least one plan from the at least one database and execute the plan with at least one site controller.

The invention discloses a hybrid virtualization cloud computing resource optimal control method and a system catering to an X86 / POWER hybrid virtualization cloud computing resource management platform in the technical field of cloud computing information processing. Through receiving applications of the cloud resource management platform, agent requests comprising virtual machine building, virtual machine destroying, virtual machine starting, virtual machine stopping, virtual machine backing-up and virtual machine state checking are sent; after the agent requests are analyzed, corresponding processing instructions are sent to virtual machine servers with different architectures; and finally, corresponding responses of the processing instructions are received and are returned to the applications of the cloud resource management platform to realize the optical resource control. The method and the system use the operation of the applications of the cloud resource management platform without considering the characteristic of different architectures of hybrid virtualization servers, so that the management control mode for the virtual machine resources is simplified.

The invention provides a cloud desktop management system for centralized management and dispersed service. The cloud desktop management system for centralized management and dispersed service comprises a plurality of local cloud desktop systems, a central cloud management system used for centrally managing the multiple local cloud desktop systems, and a coordination and communication protocol system for the local cloud desktop systems and the central cloud management system. The central cloud management system is in communication with the local cloud desktop systems through the wide area network. The central cloud management system sends management data and service data to the local cloud desktop systems according to protocols, and the local cloud desktop systems send feedback data to the central cloud management system. The management data comprise management instructions and applications, the central cloud management system manages the local cloud desktop systems according to the management instructions, and the local cloud desktop systems execute the management instructions sent by the central cloud management system by utilizing the received applications. The central cloud management system receives the data fed back by the local cloud desktop systems to carry out centralized analysis and processing, and therefore centralized monitoring, management and maintenance of the local cloud desktop systems can be achieved.

The invention provides an SaaS-based cloud disaster recovery system. The SaaS-based cloud disaster recovery system comprises a user layer, a disaster recovery control layer and a site agent layer, wherein the user layer provides a disaster recovery service user interface for realizing service selection of a user, erecting a user disaster recovery system and managing an inlet; the disaster recovery control layer is in charge of distributing disaster recovery operation instructions input by the user layer and is used for realizign disaster recovery cloud resource manage, tenant management and emergency management; and the site agent layer comprises at least one site agent, and each site agent receives the instructions sent by the disaster recovery control layer and is used for realizing disaster recovery system layout and disaster recovery switching management. The invention further provides a method of the SaaS-based cloud disaster recovery system.

The invention provides a virtual desktop and virtual operation system-based adaptive cloud desktop service system. The system comprises a client device system which considers remote access and provides a local desktop access mode, a cloud desktop management system used for managing a cloud desktop and a client device, a cloud desktop resource pool used for providing a cloud desktop server, a mechanism used for realizing content distribution and synchronization between the cloud desktop and a local desktop located at the client device, a mode decision mechanism used for deciding whether a cloud mode or a local mode is used during user access, and a feature library which provides knowledge required for mode decision. The management system judges whether a desktop access mode of a user is a remote access cloud desktop or a local access cloud desktop during the user access, or a usage mode is manually switched in a using process, so that the cloud desktop can fully utilize an elastic computing advantage of cloud computing to provide better dynamic expansibility when being located at a cloud end, and the limitation of access of the cloud desktop to peripherals can be broken in a penetration manner in a local mode.

The invention discloses a cloud resource management system. The cloud resource management system comprises a machine management module and a prediction module, wherein the machine management module manages at least one physical machine and at least one virtual machine; the machine management module is used for allocating resources of the physical machine to the virtual machine; the prediction module is used for predicting the state trend of the physical machine and the state trend of the virtual machine, and generating at least one management strategy according to the predicted state trend of the physical machine and the predicted state trend of the virtual machine; and the machine management module acquires the management strategy from the prediction module and executes the management strategy in order to optimize the resources of the physical machine and the resources of the virtual machine. The cloud resource management system further comprises a terminal. The cloud resource management system can identify the terminal in order to display a corresponding user interface on the terminal for a user to operate the virtual machine on the terminal.

The invention relates to a virtual machine resource scheduling method, device and system. The method comprises the following steps: monitoring a business volume of a set business by a monitoring scheduling platform; judging whether to increase quantity of virtual machines for processing the set business or not according to the monitored business volume; if the judging result is positive, generating and sending a virtual machine expansion instruction to a cloud resource management platform so that the cloud resource management platform increases the quantity of the virtual machines for processing the set business; receiving a virtual machine increase message sent by the cloud resource management platform, wherein the virtual machine increase message comprises identifiers of the increased virtual machines; and adding registration information of the increased virtual machines in load balancing equipment according to the identifiers of the increased virtual machines. Through the method disclosed in the invention, the efficiency of processing the set business can be improved or the hardware resources can be saved.

The invention provides a method of upgrading equipment software in a cloud network management system. The method comprises steps: tenant equipment which is managed is grouped; and when a software version currently used by grouping needs to be updated, the grouped main tenant equipment is informed, and according to a preset upgrading strategy, the latest software version data are issued to the grouped main tenant equipment.

The invention relates to the technical field of cloud computing, especially relates to a multi-role management method based on a multi-cloud platform. In the method provided by the invention, firstly,a plurality of cloud platforms of different types are authorized to access on a unified management cloud platform; then, in combination with the existing service multilayer nesting structure and multi-project conditions of a user, a set of roles is established; by management of the set of roles, different level relations among a plurality of cloud platforms and users and identity role authority limitation for an occasion where one user has multiple projects are managed. The users are guaranteed to be free from repeated login under identities of two dimensions of a multilayer nesting level identity and a multi-project identity under the multi-cloud platform, and multi-cloud resource management of identities of two dimensions can be completed just by role switching.

The invention discloses a testing system based on an autonomous and controllable cloud platform technology. The testing system mainly comprises an IaaS part and a PaaS part; the IaaS provides a virtual cloud testing server, virtualization and a Chinese dragon cloud platform; the PaaS is built above the IaaS and adopts a basic resource provided by the IaaS to orient a testing user; the IaaS comprises a physical equipment layer, a virtualization layer and a cloud resource management layer; and the PaaS comprises a testing management layer and a user operating layer. The testing system has the advantages that the testing environment can be distributed as required and hardware resources are saved; and the testing server is a Feiteng server and has high testing safety and compatibility on autonomous and controllable products.

The invention discloses a method for processing a cloud service, and a related device and system of the cloud service. The method for processing the cloud service comprises the steps that (1) a cloud resource management node receives a task request, wherein the task request carries descriptive information of a calculation task, the descriptive information comprises job descriptive information and a required completion index of the calculation task, and the required completion index comprises the delivery time and / or a budget; (2) the cloud resource management node obtains the processing capacity and the price of a cloud resource which can be scheduled; (3) the cloud resource management node constructs a usable resource scheduling scheme which corresponds to the calculation task on the basis of the obtained processing capacity and the obtained price of the cloud resource which can be scheduled, and when an estimated completion index which corresponds to the constructed usable resource scheduling scheme meets the required completion index of the calculation task, the cloud resource is called to carry out the job of the calculation task on the basis of the usable resource scheduling scheme. According to the technical scheme, the delivery time and / or the cost of the calculation task can be effectively controlled, and the utilization efficiency of the cloud resource on a cloud network can be improved.

The invention discloses an electric power enterprise storage resource management system comprising a cloud resource management platform, a storage management module and a storage pool. The storage management module provides a unified storage pool management interface based on a WebService protocol to the cloud resource management platform, and a presentation layer provides page integration, single sign-on and WebService data access. A data processing layer completes data acquisition and strategy alarm. An adapter communicates with storage equipment. Virtualization equipment downwardly manages mid-to-high end storage arrays connected through an optical fiber network and upwardly provides a storage virtualization pool. The virtualization equipment provides an SMI-S interface to be connected with the storage management module. A distributed storage system downwardly manages a storage service cluster and upwardly provides a distributed storage poor. The distributed storage system provides an API interface to be connected with the storage management module.

The invention discloses a cloud data center application perceptible distributed multi-resource combined path optimal selection method. The method comprises the steps that a cloud data center application perceptible cloud resource manager is responsible for collecting resource state information of a network, a CPU and the like in basic resources; Forming an unsupervised deep hybrid architecture model by adopting a mode of combining reinforcement learning, a value network and a strategy network, and assessing model training and node moving positions of various request streams; A novel tree search algorithm is adopted, namely, a Parallel Monte Carlo Tree Search(PMCTS) algorithm is adopted, an appropriate resource path is searched for each type of request flow in an accelerated mode, and the value and the strategy network are combined, so that an optimal resource path selection result is given. By adopting the technical scheme provided by the invention, the minimum total response time delay of various intensive request streams of the cloud data center can be ensured.

The invention relates to a cloud platform monitoring method. The method is characterized by comprising the following steps: an information obtaining step, i.e., a cloud monitoring platform obtaining updating information of monitored resources from a cloud resource management platform; a determining step, i.e., the cloud monitoring platform determining whether the monitored resources are changed according to the obtained updating information; and a monitoring adjustment step, i.e., the cloud monitoring platform, if it is determined that something new is added to the monitored resources, automatically adding monitoring of the newly added resources. According to the cloud platform monitoring method provided by the invention, change of resources can be obtained from a cloud platform, a monitoring object is automatically added, manual participation is reduced, and the monitoring automation degree is improved.

Methods and systems of managing computer cloud resources, including at least one database, at least one server configured to, act as an orchestration site, wherein the orchestration site is configured to receive at least one cloud resource management plan from at least one user and store the at least one plan in the at least one database and act as an orchestration manager. The orchestration manager is configured to retrieve the at least one plan from the at least one database and execute the plan with at least one site controller.

One embodiment is directed to a method of managing hardware resources of a plurality of client nodes. The method includes providing a plan that indicates when to execute a plurality of applications and identifying one or more concurrent applications which are one or more of the plurality of applications that are scheduled to execute concurrently according to the plan. The method also includes determining which of the one or more concurrent applications to execute on which of a plurality of client nodes by maximizing a utility function that factors in aspects of each of one or more concurrent applications and the hardware resources of the plurality of client nodes. Respective client nodes of the plurality of client nodes are instructed to execute respective applications as determined.

The invention discloses a cloud resource information search method, device and equipment and a storage medium. The method comprises the steps: obtaining search information input in a search interface;sending a cloud resource information request message generated based on the search information, wherein the cloud resource information request message comprises the search information; and receivingthe cloud resource information matched with the search information, wherein the cloud resource information is cloud resource product information matched with the search information, the server responds to the cloud resource request message and reads the cloud resource request message from a pre-database, and the database is constructed by crawling the cloud resource product information in the webpages of the plurality of cloud service providers. According to the embodiment of the invention, the server searches the cloud resource information matched with the search information in the databasein which the cloud service providers are stored; the cloud resource information whole network search service is provided for the user, the synchronization capability of the underlying cloud resource information among different cloud service providers is improved, the cloud resource management efficiency is improved, and the user experience is improved.

The invention discloses a fine-granularity high-performance cloud resource management and scheduling method. By means of user login computational node limiting, core-memory same-proportion resource scheduling, limiting of CPU nuclear number used by each GPU, releasing of occupied resources after operation is finished, SSH login using resource management and login node resource limiting, managementof memory and GPU resources when tasks are distributed according to a CPU core in a SLURM operation scheduling system can be improved, Cgroup limiting on resources of user SSH login is realized, a SLURM-based resource scheduling system is improved, and more efficient and reasonable high-performance could platform resource scheduling is realized.

The invention discloses a method and a device for migrating virtual machines on the basis of cloud computing. The method includes steps of S1, asset and resource discovery: enabling a system to acquire asset and resource information via cloud resource management software; S2: asset and resource monitoring: acquiring a service condition via the cloud resource management software when assets and resources run; S3, scheduling computation: computing objects required to be migrated and migrated target hosts according to a resource utilization rate and temperatures of hosts; S4, migration management: automatically or manually migrating the virtual machines in an online manner according to scheduling computation results. The method and the device have the advantage that the virtual machines can be effectively utilized in cloud resource environments by the aid of the method and the device.