1280 results about "Cloud computing systems" patented technology

A cloud computing system management system including a plurality of computing devices configured to host virtual machine instances, each computing device in the plurality of computing devices including a local agent that continuously evaluates the observed load relative to a utility maximization function. If observed load is higher than a calculated optimal level, individual loading processes are offered for “sale” via a market scheduler. If observed load is lower than a calculated optimal level, then available capacity is offered as a bid via the market scheduler. The market scheduler matches bids with available processes and coordinates the transfer of load from the selling device to the buying device. The offered prices and utility maximization functions can be employed to optimize the performance of the cloud system as a whole.

A cloud computing system configured to run virtual machine instances is disclosed. The cloud computing system assigns an identity to each virtual machine instance. When the virtual machine instance accesses initial configuration resources, it provides this identity to the resources to authenticate itself. This allows for flexible and extensible initial configuration of virtual machine instances.

A cloud computing system including a plurality of computing devices configured to host virtual machine instances, each computing device in the plurality of computing devices including a monitor operable to collect metadata about the associated computing device. The system also includes a registry operable to receive and store the metadata from the plurality of computing devices and a scheduler operable to select a host computing device out of the plurality of computing devices on which to instantiate a virtual machine instance based on the metadata stored in the registry.

A cloud management system can receive rules for altering the virtual machines based on demands on the virtual machines and / or computing resources supporting the virtual machines. The cloud management system can receive data from the internal monitoring agents and / or external monitoring agents and to determine when the conditions of the rules are met. Once the conditions are met, the cloud managements system can take the appropriate action to alter the instantiated virtual machines.

The invention relates to a monitoring system and specifically relates to a plant-level comprehensive supervision platform. The plant-level comprehensive supervision platform comprises a front-end system, a transmission network and a master station system, wherein the front-end system is integrated with subsystems of video monitoring, environmental monitoring, security guard, fire alarm, one-card-through, entrance and exit control, maloperation prevention, gps positioning, intelligent lighting, intelligent control and the like in a thermal power plant; the transmission network functions as a bridge for connecting the front end and the platform; the master station system comprises a local monitoring center, a cloud computing system, an application platform and a whole network operation and maintenance platform. The comprehensive supervision platform is a large online monitoring system integrated with hardware, software and network; the platform software is taken as the core to realize centralized management on all zones; besides, centralized monitoring and uniformed management on the front-end system can be realized at a regulation and control center; in short, the plant-level comprehensive supervision platform escorts the smart grid.

One embodiment of the present invention provides a system for performing secure multiparty cloud computation. During operation, the system receives multiple encrypted datasets from multiple clients. An encrypted dataset associated with a client is encrypted from a corresponding plaintext dataset using a unique, client-specific encryption key. The system re-encrypts the multiple encrypted datasets to a target format, evaluates a function based on the re-encrypted multiple datasets to produce an evaluation outcome, and sends the evaluation outcome to the multiple clients, which are configured to cooperatively decrypt the evaluation outcome to obtain a plaintext evaluation outcome.

A cloud computing system configured to run virtual machine instances is disclosed. The cloud computing system assigns an identity to each virtual machine instance. When the virtual machine instance accesses initial configuration resources, it provides this identity to the resources to authenticate itself. This allows for flexible and extensible initial configuration of virtual machine instances.

A cloud computing system including a computing device configured to run virtual machine instances is disclosed. The computing device includes a hypervisor program for managing the virtual machine instances. A customer virtual machine instance is run by the hypervisor program on the computing device, and a grid virtual machine instance is run by the hypervisor program on the computing device. The grid virtual machine instance is configured to run only when a resource of the computing device is not being utilized by the customer virtual machine instance.

The invention relates to the technical field relevant to cloud computing, in particular to a method for creating a virtual machine in a cloud computing system and the cloud computing system, wherein the cloud computing system comprises a cloud control server, at least one node control server and at least one storage server, wherein the storage server is used for storing virtual machine benchmark image files of the virtual machine, user expansion image files and user disk image files; and the method comprises the following steps: the cloud control server receives a user request and forwards the user request to the node control server, wherein the user request comprises the virtual machine benchmark image selected by the user, cpu (central processing unit) and the memory size and the user disk image files; and the node control server receives the user request forwarded by the cloud control server and creates the virtual machine according to the user request. By means of the method for creating the virtual machine in the cloud computing system and the cloud computing system disclosed by the invention, the time cost and bandwidth resources for creating the virtual machine and the use of transport network bandwidth in migration of the virtual machine are reduced, and the problem of loss of user data, caused by system crash of the virtual machine, is avoided.

A system and method are disclosed for private cloud computing and for the development and deployment of cloud applications in the private cloud. The private cloud computing system and method of the present invention include as components at least a cloud controller, a cloud stack, Service Registry, and a cloud application builder.

The invention discloses a cloud computing system. A terminal and / or a door function unit build / builds a safety mechanism with cloud and send / sends cloud service request to the cloud. After the cloud receives the cloud service request, other cloud is accessed by the cloud itself and / or through a cloud interworking function, cloud computing resource is arranged, and cloud service is provided for the terminal and / or the door function unit. The invention further discloses a cloud computing method and the cloud. By means of the technical scheme, integration, virtualization and automation of the cloud computing system can be achieved, the cloud can coordinate uniformly and arrange the cloud computing resource automatically, efficiency is improved, and defect that the existing cloud computing system can not arrange the cloud computing resource automatically is overcome.

The invention discloses an internet log data-based software defect failure recognition method and system. The method comprises the following steps: in allusion to internet source system log data and user system source log data, taking the internet source system log data as a training set and extracting features from the training set, and generating a software defect failure log recognition prediction model through machine learning or similarity matching; and analyzing and recognizing the user system source log data to obtain log fragments which represent software defect failures, so as to a software defect failure types in allusion to user system logs. A cloud computing system failure recognition system comprises a multi-line log collection module, an internet source system log classifier and an online log analysis and failure recognition module. According to the method and system disclosed in the invention, the failures, caused by software defects, massive log information recognition can be realized, the failure reasons can be rapidly positioned, the failures during the operation can be recognized and the failure types can be diagnosed, so that the reliability and usability of the cloud computing system can be improved.

The invention discloses a hybrid cloud computing system based on a cloud bus and a realization method of the hybrid cloud computing system. The system is based on a local private cloud, one or more public clouds are integrated, the internal constitution of the local private cloud is consistent with that of the public cloud, both the internal constitution of the local private cloud and the internal constitution of the public cloud comprise an infrastructure, a virtualization layer, a cloud platform layer, a cloud bus layer, a cloud application layer, a management center and a storage center, wherein the hardware resources on a bottom layer are grouped into a virtual cluster through the infrastructure and the virtualization layer so as to provide different virtual resources to the superior layer; the cloud platform is used for operating a web application program or a service and utilizing an open interface to carry out the secondary development and application integration; and the cloud bus layer is used for managing and monitoring various services on the cloud platform layer and is a hub for connecting the cloud application layer and the cloud platform layer, and the cloud bus layer is established on the basis of SOA (service oriented architecture) concept and comprises a control bus, a plurality of node buses and an adapter. Due to the adoption of the hybrid cloud computing system, the migration of the existing IT (internet) environment of an enterprise to a cloud computing environment can be accelerated, the investment can be reduced, and the resource can be adequately utilized.

A cloud computing system includes an initial request reception unit, a request reception unit, and a transmission unit. The initial request reception unit receives a connection request from a device. In a case where the device has tried to access a request reception unit, the request reception unit receives a service usage request and service identification information from the device and determines whether a back-end processing unit is present that both corresponds to the device and is configured to execute the service. If present, a service utilization preparation completion screen is transmitted to the device. If not present, an instance generation instruction is sent to a management unit and instruction to launch an instance generated to execute the service is sent. After the instance is launched and the back-end processing unit is realized, the service utilization preparation completion screen is transmitted to the device.

The invention discloses a cloud computing system reliability modeling method considering a common cause fault, and belongs to the technical field of network reliability. The method comprises the steps of determining a state combination of a similar single server of a cloud computing system and performing simplification; calculating an existence probability of the simplified state combination of the similar single server by adopting a fault tree method; determining state combinations of similar servers of the cloud computing system, performing simplification, and calculating an existence probability of each state combination; enumerating state combinations of different servers of the cloud computing system, and calculating an existence probability of each state combination; and according to the state space of the cloud computing system, calculating the system reliability according to a given demand. According to the method, a common cause fault of all virtual machines running in the servers, caused by server faults, is considered, the state space modeling is adopted, and the state space is simplified, so that the problem of state space explosion during system scale increment is solved and the modeling efficiency is improved.

In order to improve the running stability of a system, an excitation mechanism is necessary to facilitate a terminal node to stably and truthfully contribute resources and perform teamwork, namely, the node is facilitated to flow from an unreliable end node layer to a reliable end node layer. The invention discloses a cloud money-based hierarchical cloud computing system excitation method. In the method, the principles of simplicity, high efficiency, low overhead and easy implementation are taken as main ideas; the train of thought of remuneration according to work in the human society is borrowed; and a cloud money-based reliable end node excitation mechanism is disclosed, which excites the node to actively provide services by adopting virtual money named as cloud money. Therefore, distributed payment in a cloud computing environment is realized, the end node can more stably and truthfully provide personal resources to finish assigned tasks, the function of the end node in an outer cloud layer is maximally developed and the system is finally optimized.

The invention discloses a caching method of a virtual machine mirror image in a cloud computing system, which comprises the following steps of: A10, dividing all computer nodes in a cloud computing system network into multiple clusters; A20, respectively arranging a sharing cache for storing corresponding virtual machine mirror image of each computer node in the cluster in each cluster; and A30, when a computation node in one cluster requires operating a virtual machine example, downloading the corresponding virtual machine mirror image to the sharing cache in the cluster, establishing a corresponding virtual machine mirror image copy in the sharing cache, and when the virtual machine example is closed, deleting the corresponding virtual machine mirror image copy from the sharing cache. According to the invention, the flow transmitted by the sharing virtual machine mirror image is limited in the cluster to the greatest extent, the mirror image copy is hung to the computation node in a shared file manner, and the example can be started without downloading the mirror image file, so that the virtual machine starting time is shortened and the expense is lowered.

The invention relates to an application deployment method and a cloud computing system. The method comprises following steps that a resource management component installs a container environment on a resource node, and uploads preset application operating environment mirrors and an application bootscript; a control component receives an application creation request from a management platform, and then sends an application deployment request to the resource management component on the resource node, and the resource management component searches corresponding application operating environment mirror in the container environment, and boots a container; and application information in the application deployment request is copied to the container, and the bootscript is operated so as to deploy the application. According to the method, application deployment density can be improved, and resource use efficiency is improved. The application is also deployed in the container, thereby improving the application deployment speed. Furthermore, the application program can be loaded and operated on a host platform directly, thereby reducing performance loss.

The invention provides a cloud computing operation system and a method for providing services to users. A cloud service coordination center is set up to manage edge servers, and mutual collaboration capability among subsystems of a distributed cloud computing system is enhanced; meanwhile, the cloud service coordination center has a function of combining existing services so as to meet different requirements of the users, and accordingly the cloud computing system can provide more powerful functions to the users.

The invention discloses a uniform resource scheduling method in a cloud computing system. The method comprises the following steps: 1) establishing a physical resource pool and a virtual resource pool; 2) forwarding a resource request to a corresponding component according to the requirement type of the resource request by a system controller; 3) after receiving the request, selecting a server from the physical resource pool, turning power on and initializing by a physical resource pool management component, and returning an access address and a command to the user; after receiving the request, selecting a physical resource from the virtual resource pool to create a virtual machine by a virtual resource pool management component, and returning the access address and the command, wherein when the utilization rate of the virtual resource pool is greater than the set threshold value, a resource scheduler selects a server from the physical resource pool and cancels the server, and transfers the server to the virtual resource pool and register; when the utilization rate of the physical resource pool is greater than the set threshold value, the resource scheduler selects the server from the virtual resource pool and cancels the server, and then transfers the server to the physical resource pool and register. The uniform resource scheduling method is high in the resource utilization rate and low in energy consumption.

The invention discloses a cloud computing implementation method. By multilayer load balancing architecture design, a plurality of virtual machines with totally same functions are deployed in an application layer, a middle layer and a database layer, and fault monitoring modules are respectively deployed on the virtual machines; when one virtual machine has a file system read-only fault and the like, the fault monitoring module automatically turns off the virtual machine to realize automatic isolation of a virtual machine node, and reports the fault information to a management center; the management center migrates the access request of the virtual machine having the fault to the other corresponding virtual machine; and the fault or the deletion of any main virtual machine does not cause pause on the current service system, so that the fault of a single main virtual machine can be prevented from affecting the whole cloud computing platform, the smoothness of services is ensured, and the user experience and the performance of the whole system are improved. The invention also discloses a cloud computing system.

A virtual machine management system is configured to manage a plurality of computing systems each configured to support virtual machines. The virtual management system is configured to transparently manage the computing systems even in cases where the virtual machines are supported by different hypervisors. In some embodiments, this capability simplifies the management of cloud computing systems including software provided by different virtual machine vendors.

An image processing system for recognizing the scene type of an input image generates an image distance metric from a set of images. The image processing system further extracts image features from the input image and each image in the set of images. Based on the distance metric and the extracted image features, the image processing system computes image feature distances for selecting a subset of images. The image processing system derives a scene type from the scene type of the subset of images. In one embodiment, the image processing system is a cloud computing system.

The invention relates to a system, a method and equipment of cloud computing, particularly to a system, a method and equipment for realizing personal cloud computing. The system for realizing the personal cloud computing is composed of one or more personal cloud computing computers and clients thereof; each personal cloud computing computer is possessed and managed by different users, is placed in a own local area network of the user, and is on line 24*7; the personal cloud computing system is composed of a personal cloud computing system, a public service center system and / or a third-party server; huge number of personal cloud computers form a completely distributed large-scale parallel computing network; and the personal cloud computing system provides the network servers, such as files, database and equipment and the like, for the clients through a WEB service manner. The personal cloud computing system in the invention comprises a distributed computing module, a multi-stage buffermodule, a storage exchanging module, an equipment virtual module, a neighbor discovery module, a peer-to-peer access module, a network address translation (NAT) traversal module and a dedicated client module.

A method for enabling an application to run on a cloud computing system so that jobs that may be computed without having to modify the application. The method includes the step of programming a task processor that relates the parameters of each task of the job to the arguments that need to be passed to an application executable on a compute node in the cloud computing system that is used to process the task. The task processor runs on any compute node in the cloud computing system.A method for computing jobs on a cloud computing system. The method includes the steps of: splitting the job into one or more tasks; transmitting a task to a compute node within the cloud computing system; identifying the job type of the task transmitted to the compute note; and using a task processor to call an executable process using suitable arguments based on the parameters of the task.

A person-to-person secure file transfer system includes an originating computer that receives a public key of a recipient from a cloud computing system. The originating computer encrypts a file using a message key, and encrypts the message key using the public key of the recipient. The encrypted file is stored in the cloud computing system. In response to a request from a receiving computer, the cloud computing system decrypts the encrypted message key using a private key of the recipient, decrypts the encrypted file using the message key, and provides the now decrypted file to the receiving computer. In another example, the cloud computing system provides the private key of the recipient and the encrypted file to the receiving computer, which decrypts the encrypted message key using the private key of the recipient and decrypts the encrypted file using the message key.

A cloud computing system including an image server is disclosed. The image server comprises an endpoint communicatively coupled to a data store, a peer-to-peer endpoint, and a peer-to-peer client. The peer-to-peer endpoint is configured to receive a request for a portion of a data file from a requestor. The image server is configured to determine a location of the portion of the data file within the data store and retrieve the portion of the data file from the data store in response to the request for the portion, and the peer-to-peer client is configured to provide the retrieved portion of the data file to the requestor via the peer-to-peer endpoint. In some examples, the requested data file includes a system image.

The invention discloses a dynamic resource allocation method based on evolutionary game in a mobile edge computing system. The method comprises the following steps that (1) a network is divided into a plurality of areas according to the network coverage condition, accessible service points in the areas are different, and a centralized controller is arranged in the network; (2) terminals with the task unloading need in the same area form a population, and the terminals in the population establish task unloading cost functions; (3) all terminals in each population randomly select accessible SPs in an SP selection strategy set; the evolutionary game is established in each population in the network; (4) the terminals in each population compute task unloading costs and send the SP selection strategies and the cost information to the controller; (5) the population carries out SP selection strategy update according to dynamic copy; and (6) the dynamic copy reaches evolution equilibrium. The method fully utilizes the computing resources and the radio resources of the SPs, aims at the equal task unloading costs of all terminals in the populations and meets the task unloading need of each mobile terminal based on the evolutionary game.

The invention discloses a virtual switching method of a cloud computing system. The invention further relates to a system for realizing the method. The system in the invention consists of five parts including a virtual switching subassembly, a virtual interface, an address switching subassembly, a network bridge compatibility subassembly and a monitoring management subassembly. The communication between a virtual machine and an external network is realized by virtual double-layer transmission and address switching; and states and rules of a network interface of the virtual machine can be synchronously shifted when the virtual machine is shifted. The virtual switching system realized in the invention provides efficient double-layer transmission capability and address switching capability so as to solve the problems in the communication between the virtual machine and the external network in a private local area network of the cloud computing system, and the synchronous shift of the states and rules of the network interface of the virtual machine with no need of extra hardware equipment. The invention has the advantages of high usability and low cost.