140 results about "Cloud computing architecture" patented technology

The invention relates to a cloud computing resource scheduling method based on dynamic reconfiguration virtual resources. The method comprises the steps of: using cloud application load information collected by a cloud application monitor as a basis; making a dynamic decision based on the load capacity of the virtual resources for running cloud application and the current load of the cloud application; and dynamically reconfiguring virtual resources for cloud application based on the decision result. Dynamic adjustment of resources is realized by a method for reconfiguring virtual resources for cloud application, without needing dynamic redistribution of physical resources or stopping executing cloud application. The method can dynamically reconfigure the virtual resources according to the load variation of the cloud application, optimize allocation of the cloud computing resources, realize effective use of the cloud computing resources, and meet the requirements on dynamic scalability of cloud application. In addition, the method can avoid waste of the cloud computing resources, and save the cost for using resources for cloud application users.

The invention discloses a layered distributed cloud computing architecture and a service delivery method. The architecture is composed of a core cloud, an edge cloud and a terminal. The core cloud is a cloud computing service center composed of servers with powerful storage and computing capacity; the edge cloud is composed of server nodes distributed in different networks and regions and is connected with the core cloud by backbone network, and the terminal is an entity which uses a cloud computing service provided by the core cloud and edge cloud. The core cloud and the edge cloud work together to provide the cloud computing service for terminal users and uses relevance of data transmitted by the core edge and the terminal to process the data so as to reduce traffic. In the invention, network flow in most of cloud computing is confined to the local network between the edge and the terminal, thus lowering traffic of the backbone network, effectively avoiding the problems of network congestion, high latency and the like in the existing centralized cloud computing mode and improving user experience.

The invention discloses a method and a system for distributing cloud computing resources, and relates to the field of cloud computing resource scheduling. The method comprises that various performance indexes of the cloud computing resources of a client are monitored; a current health degree value of the cloud computing resources is calculated according to the monitored various performance indexes and a cloud resource health degree model, wherein the current health degree value can reflect the various performance indexes comprehensively; when the current health degree value exceeds a cloud resource performance alarming threshold value, an cloud resource performance alarm is sent so as to prompt the client that cloud computing resource allocation needs to be optimized; and the cloud computing resources needed by the client are distributed according to a pre-set cloud resource optimization allocation strategy. Automatic monitoring is conducted on the cloud computing resources such as performance indexes of a central processing unit (CPU), internal memory, discs, network input or output (I/O). The current health degree of the cloud resources is calculated according to the performance indexes and the health degree model, and intelligent distribution of the cloud resources is achieved by utilizing an automation resource scheduling technology of cloud computing, and therefore optimal performance of the cloud resources is ensured.

An automated tool for migrating a website hosting service from a first website hosting architecture to a second website hosting architecture, the first architecture comprising a server architecture that serves the services necessary for a plurality of distinct websites from a dedicated machine and the second web hosting architecture comprising a server architecture that serves a plurality of common services from a plurality of machines to a plurality of unaffiliated websites using at least one of a cloud computing architecture and a grid computing architecture.

Apparatus, systems, and methods may operate to receive time-based reservation requests for predefined resource environments comprising resource types that include hardware, software, and data, among others. Additional activities may include detecting a conflict between at least one of the resource types in a first one of the predefined resource environments and at least one of the resource types in a second one of the predefined resource environments, and resolving the conflict in favor of the first one of the predefined resource environments by reserving additional resource elements in a cloud computing architecture and/or reserving a less capable version of the second one of the predefined resource environments. Additional apparatus, systems, and methods are disclosed.

Determining and presenting traffic patterns includes: obtaining a first set of traffic metrics pertaining to network traffic associated with a plurality of containers of a container-based cloud computing platform, wherein: the plurality of containers supports a plurality of microservices; and a microservice has one or more corresponding microservice instances that execute on one or more of the plurality of containers; transforming the first set of traffic metrics into a second set of traffic metrics, the second set of traffic metrics comprising network traffic information pertaining to at least some of the plurality of microservices, the transformation being based at least in part on information pertaining to the plurality of containers and the plurality of microservices supported by the plurality of containers; constructing a microservice map based on the second set of traffic metrics; and outputting the microservice map.

The invention discloses an intelligentized project matching analysis tool and an implementation method thereof, relates to the field of project application, and mainly solves problems that government project information cannot be transmitted to target enterprises timely in a targeted manner and the enterprises cannot acquire information about whether having qualifications or not, and whether application projects are matched with project requirements or not by providing a hardware and software environment supporting system, an accurate project information search engine, an enterprise compliance investigation module, a project matching evaluation module and an information pushing module on the basis of a cloud computing architecture. Compared with the prior art, the intelligentized project matching analysis tool has the advantages that the enterprise project application process can be subjected to online qualification investigation, matching analysis and evaluation, so that two-way efficient and accurate policy service is provided for the government and the enterprises; the new-generation information technology is applied, online network operations of the entire project application process are realized on the basis of the semantic analysis technology, manpower, material resources and time costs can be effectively saved, and efficiency is improved.

An automated tool for migrating a website hosting service from a first website hosting architecture to a second website hosting architecture, the first architecture comprising a server architecture that serves the services necessary for a specific website from a single machine and the second web hosting architecture comprising a server architecture that serves a plurality of common services from a plurality of machines to a plurality of unaffiliated websites using a cloud computing architecture.

The invention discloses a cloud hard disk realization method under a cloud computing architecture. According to the realization process, first, a distributed architecture is set up, wherein the distributed architecture comprises a user layer, a driving layer and a storage management layer in sequence from top to bottom, and the lower layer provides service for the upper layer; the user layer makes a cloud hard disk creation application; the driving layer receives the creation request from the user layer, completes cloud hard disk creation and forwards a cloud hard disk to the storage management layer for interactive storage; the storage management layer completes storage and management of the created cloud hard disk. Compared with the prior art, through the cloud hard disk realization method under the cloud computing architecture, the disk capable of being mounted on a virtual machine is created independently, unbinding, unloading, re-utilization and other technologies are realized, the hard disk is distributed and dispatched according to needs, practicability is high, the application range is wide, and popularization is easy.

The invention provides a dynamic resource allocation method and system under a space-based cloud computing architecture and a storage medium. The method comprises the following steps: sensing a stateparameter of a current network to generate a network state sensing result; according to the network state sensing result, detecting the traffic condition of each node and link, the user page view andthe traffic consumption of each application under the current network topology structure, and carrying out classification identification on the traffic to generate a traffic classification identification result; predicting a traffic condition based on the geographic position, the time distribution and the access density according to the traffic classification and identification result, and generating a traffic prediction result; and visually generating a resource allocation scheme through a big data analysis platform according to the flow prediction result. Heterogeneous resources can be efficiently utilized through dynamic resource configuration, the requirements for space-based delay sensitivity and big data application are met, dynamic network connection is adapted, the reliability of service flow is guaranteed, and load balancing of the system is achieved.

The invention provides a method for solving the performance bottleneck of a network management system in the communication industry based on a cloud computing technology. In the method, cloud computing is adopted to determine the guiding principle of the network management system. The method comprises the following steps of: 1) aiming at hardware and third-party software, a mainstream virtualization technology which supports unified cloud computing implementation mode is adopted, and 2) aiming at system software, a design mode adaptive to distributed deployment is adopted; and in terms of three levels (hardware, middleware and application software), the cloud computing technology is utilized to effectively solve the performance problem of the network management system; Based on a cloud computing architecture design and a deployment application system, the system performance problem which is hardly solved by a traditional system can be effectively solved; and simultaneously, by utilizing cloud computing, the advantages in the aspects of low cost, high expansibility and the like can be achieved, and from the macroscopic view, great problems can be solved by utilizing existing technologies without spending great time in processing certain technical details.

The invention discloses trusted computing nodes (TCNs) configured to control their location and migration of applications run on virtual machines resident thereon. The invention allows a controlled use of cloud computing resources and virtual network functions by sensitive applications. This is achieved by embedding a secure processing unit (SPU) and a localization unit (LU) in the TCNs. The LU acquires GNSS signals and the TCN generates a secure location message comprising a secure ID and a locstamp of the TCN. A TCN Registry may be created by an operator of a collection of TCNs as a database of trust scores of the trusted computing nodes which will be used to control the allocation of tasks to said TCNs based, at least in part; on the trust scores. The trust scores may also be used directly by the other TCNs to allocate the tasks which they have control on.

The invention discloses a software automatic test system based on a cloud computing architecture. The software automatic test system comprises a client, an application server, a service scheduling system and a device server; the service scheduling system comprises a file server, an executor, a device management server and a database. According to the software automatic test system based on the cloud computing architecture, firstly a cloud platform is built to ensure data storage and rational allocation of resources. The implementation of the cloud platform is also conducive to the improvementof fault tolerance and efficiency in software testing. Secondly, due to the inclusion of cloud computing, an individual software testing process and result can be uploaded to the cloud platform storage space for resource sharing through the Internet. Finally, when a large number of software test paths are analyzed, the developed software can automatically analyze the feasible test paths to achievethe purpose of automated software testing.

The invention discloses a workflow based mixed renting method of cloud computing resources. A mode that resources are rented according to requirements based on time intervals and a mode that resources are rented by bidding are included. The method mainly comprises the steps of A) offline task scheduling of a mixed renting mode; and B) online operation and dynamic adjustment of tasks. The step A) is mainly characterized in that when time of a task matches that of a virtual machine, a unit time cost priority rule is provided, the utilization rate of the rented virtual machine is improved, and a renting according to requirements mode and the bidding renting charging mode are mixed to reduce the total cost; and the step B) is characterized in that the virtual machine is rented according to requirements, a dynamic bidding price adjust strategy and a bidding failure tolerance mechanism are provided, and the system stability is improved. According to the invention, a proper sub task floating time is calculated, a virtual machine renting mode is selected, a time slot is matched, the bidding strategy and the tolerance mechanism are provided, and the operation cost of the whole workflow application is reduced greatly.

The invention relates to a network service system based on a cloud computing architecture, which is characterized in that the network service system comprises a client terminal and a network service platform in a cloud model, wherein the network service platform in the cloud model comprises a subsystem of the system, a business processing subsystem, a data subsystem and a central control subsystem. The network service system of the invention can greatly save the network operating costs, is convenient for network system management, improves the network quality, and simultaneously brings great convenience for realizing intellectual property management, mobile management, networking industry supervision and public security monitoring.

The invention discloses a collective education platform system and a construction method thereof. The platform system comprises an application service layer, a support platform layer and a basic resource layer. The support platform layer is used for supplying the cloud service to the application service layer. The basic resource layer is used for supplying the basic resource service to the application service layer. The application service layer comprises a user uniform interface and an application module. The application service layer supplies the application service corresponding to the application module to the outside via the user uniform interface. According to the technical scheme of the invention, the platform system is established based on a cloud computing architecture, and has the advantages of stable performance, clear structure, and good expandability, openness and security. Based on the platform system, the involved management and the collective education for parents and schools are realized, so that the learning effect of students is effectively improved.

The invention relates to a system for realizing complicated event handling based on a cloud computing architecture. The system comprises event distribution nodes, a plurality of event handling nodes, an event handling node group, event de-weighting nodes and a node manager. The invention further relates to a method for realizing complicated event handling based on the cloud computing architecture. The system and the method for realizing complicated event handling based on the cloud computing architecture can allow the whole system to bear high-concurrent and large amount of event data, ensure the uniqueness of the output event, randomly select a normal node to copy from the corresponding event handling node group, ensure continuity of the upper-layer service, greatly improve the whole reliability of the complicated event handling system, and meet the requirements of large data stream, high concurrency, high real-time data analysis. During the system running process, when keeping continuity of the service, the dynamic adjustment to the system handling nodes is finished; the working performance is stable and reliable; and the application range is wide.