5272 results about "Cloud computing" patented technology

The system and method described herein may identify one or more virtual desktop extensions available in a cloud computing environment and launch virtual machine instances to host the available virtual desktop extensions in the cloud. For example, a virtual desktop extension manager may receive a virtual desktop extension request from a client desktop and determine whether authentication credentials for the client desktop indicate that the client desktop has access to the requested virtual desktop extension. In response to authenticating the client desktop, the virtual desktop extension manager may then launch a virtual machine instance to host the virtual desktop extension in the cloud and provide the client desktop with information for locally controlling the virtual desktop extension remotely hosted in the cloud.

Embodiments of the present invention provide a cloud gateway system, a cloud hypervisor system, and methods for implementing same. The cloud gateway system extends the security, manageability, and quality of service membrane of a corporate enterprise network into cloud infrastructure provider networks, enabling cloud infrastructure to be interfaced as if it were on the enterprise network. The cloud hypervisor system provides an interface to cloud infrastructure provider management systems and infrastructure instances that enables existing enterprise systems management tools to manage cloud infrastructure substantially the same as they manage local virtual machines via common server hypervisor APIs.

An exemplary method includes a computer-implemented cloud service brokering system that provides a cloud service brokering service 1) registering a plurality of cloud services with the cloud service brokering service, the plurality of cloud services provided by a plurality of cloud service providers and configured to provide distinct sets of cloud computing resources as a service, 2) receiving, from a customer of the cloud service brokering service, cloud service request information, 3) selecting, based on the cloud service request information, a cloud computing resource from the distinct sets of cloud computing resources provided by the plurality of cloud services registered with the cloud service brokering service, and 4) allocating the selected cloud computing resource for use by the customer. In certain examples, the allocating may be supported by the system configuring a customer network to support implicit and/or explicit transport requirements. Corresponding systems and methods are also described.

Methods and apparatus for implementing hybrid-cloud computing networks are disclosed. An example computer-implemented method includes receiving, at a computing device, a request to provision a user application. The method further includes identifying an application blueprint corresponding with the request and identifying at least one computing resource corresponding with the request. The method still further includes identifying a network blueprint that includes the at least one computing resource, provisioning a computing network in accordance with the identified network blueprint and provisioning the at least one computing resource in the provisioned computing network. The method also includes, installing the user application in the provisioned at least one computing resource in accordance with the application blueprint.

A workflow server can receive requests, each for a business process workflow conforming to a business process model. Each business process workflow can include a set of interdependent tasks. The workflow server can satisfy received requests by assigning tasks to different service providers that provide software services. Each of the tasks can be assigned to corresponding ones of the software services. For each task, the workflow server can also defines an allocated cost per software service, and a time allocation per software service for completing the corresponding one of the tasks. Different service providers, including those assigned to tasks, can receive information for ones of the tasks not directly assigned to them by the workflow server. The different service providers can then bid on these tasks. Wherein when bids are won, tasks for a business process flow can be reassigned based on winning bids.

Tools and techniques for managing virtual machines, including without limitation virtual machines running in a cloud computing environment. Certain tools provide a user interface that allows a user to browse machine images to find an image that meets the user's needs. In some aspects, these tools and techniques can provide the ability for users to customize machine images to meet their own needs and/or to share their customized machine images with other users. In other aspects, these tools and techniques can provide users with the ability to export virtual machines for use on an actual computer system.

An untrusted component exposing a high level storage object interface within an untrusted client virtual machine accepts application level storage object operations. Responsive to a storage object operation, the untrusted component passes a message through the underlying hypervisor to an associated trusted component. The trusted component processes the message by authenticating the client virtual machine and locating an internal mapping between the client virtual machine and an associated customer-specific set of backend storage resources to which the requested storage object operation is to be applied. The trusted component uses a trust relationship with the backend storage system to securely communicate the storage object operation to the backend storage system, and passes the operation results through the hypervisor back to the untrusted component in the source client virtual machine from which the storage object request originated.

An exemplary system includes at least one computing device located within a local media content network and configured to 1) generate a media index of local media content stored by one or more media content access devices located within the local media content network and cloud media content stored by one or more cloud computing devices located within a cloud media content service network and 2) manage the local media content and the cloud media content based on the media index and on a predefined media management heuristic. Corresponding methods, systems, and apparatus are also disclosed.

An originator of an appliance can independently secure the appliance for instantiation in the cloud, separate from the security level of the cloud. The originator can secure the appliance utilizing a secure rights application. The secure rights application can be configured to “wrap” an appliance in a security container. The security container can limit access to the applications and operating systems contained in the appliance, but allow the appliance to operate normally once instantiated in the cloud. The secure rights application can be configured to cryptographically secure the appliance in order limit the ability of unauthorized parties from accessing the components of the appliance while maintaining the functionality of the appliance.

A virtual network virtual machine may be implemented on a cloud computing facility to control communication among virtual machines executing applications and virtual machines executing middlebox functions. This virtual network virtual machine may provide for automatic scaling of middleboxes according to a heuristic algorithm that monitors the effectiveness of each middlebox on the network performance as application virtual machines are scaled. The virtual machine virtual network may also locate virtual machines in actual hardware to further optimize performance.

Disclosed is a computer program that provides a secure workflow environment through a cloud computing facility, wherein the secure workflow environment may be adapted to (1) provide a plurality of users with a workspace adaptable to provide secure document management and secure communications management, wherein the users comprise at least two classes of user, including a participant and a subscriber, the subscriber having control authority within the workspace that exceeds that of the participant and the participant having control over at least some of the participants own interactions with the workspace, (2) maintain a secure instance of each communication provided by each of the users such that each communication can be managed, (3) maintain a secure instance of each document interaction provided by each user such that each interaction can be managed; and extending the secure workflow environment to the users through a secure network connection.

The invention provides a task-dynamic dispatching method under a distributed computation mode in a cloud computing environment, which comprises the following four steps: 1. a main node receives and analyzes heartbeat information of a subsidiary node; 2. the main node previously distributes the task according to a node state table and a task state table; 3. the subsidiary node demands the task from the main node; and 4. the main node distributes the task to the subsidiary node. The method firstly considers the resource demand of the task and the performance information of the nodes, and dynamically controls the distribution of the task under the condition that the requirement is met, so that the response speed of the work and the resource utilization of the nodes are improved. The method has wide practical value and application prospect in the technical field of the distributed computation in the cloud computing environment.

Methods and systems and mobile device interfaces for creating, joining, organizing and managing via mobile devices affinity groups in a cloud computing environment for social and business purposes.

The present invention provides a system and method for provisioning Cloud services by establishing a Cloud services catalog using a Cloud service bus within a Cloud computing environment. In one embodiment, there is a Cloud services catalog manager configured to connect a plurality of Clouds in a Cloud computing environment; maintain a catalog of integrated Cloud services from the plurality of connected Clouds; and display an index of the integrated services on a user interface. Using this system and method will allow for multiple disparate services, offered by different partners, across unrelated, physically distinct Clouds to be presented as an index of integrated services.

Autonomic scaling of virtual machines in a cloud computing environment, the cloud computing environment including virtual machines (‘VMs’), the VMs installed upon cloud computers disposed within a data center, also including a cloud operating system and a data center administration server operably coupled to the VMs, including deploying, by the cloud operating system, an instance of a VM, flagging the instance of a VM for autonomic scaling; monitoring, by the cloud operating system, one or more operating characteristics of the instance of the VM; deploying, by the cloud operating system, an additional instance of the VM if a value of an operating characteristic exceeds a first predetermined threshold value, including executing a portion of the data processing workload on the additional instance of the VM; and terminating operation of the additional instance of the VM if a value of an operating characteristic declines below a second predetermined threshold value.

This invention provides a system or method to provide dynamically packaged Cloud services to customers via a Cloud services registry. The Cloud services registry is dynamic and operates by polling different Cloud service providers and Cloud service databases to ensure that the Cloud services registry is up to date with the latest available Cloud services. The Cloud services registry is available for queries from Cloud customers and abstracts multiple Cloud service providers. By abstracting the Cloud services, the dynamic Cloud services registry creates a modular package of different services from different Cloud service providers based on the query and requested priority for services. The dynamic Cloud registry is dynamically updated based on the level of services that the provider has available. The dynamic registry determines what service best matches the requirements from a Cloud service request (CSR) and returns a personalized set of matching services.

A software-based method and system to provide a secure user interface on multiple and diverse electronic computing devices with a customized and secure dashboard feature. The systems and methods simultaneously integrate internally generated software utilities of an enterprise with externally accessed software operating in a ‘cloud computing’ environment. The systems and methods can be used in management and operations that use computer based software, data management, creative processes and communication systems. The systems and methods reduce the requirement for additional programming to integrate or interchange equivalent and independently developed software for use within an enterprise. The systems and methods permit social network communications between members of an enterprise and an external community. The security features of the user interface portal permit collaborations between parties in an external community and enterprise members that can develop new processes that remain proprietary to the enterprise and parties of an external community.

The present invention provides systems and methods for supporting encrypted communications with a medical device, such as an implantable device, through a relay device to a remote server, and may employ cloud computing technologies. An implantable medical device is generally constrained to employ a low power transceiver, which supports short distance digital communications. A relay device, such as a smartphone or WiFi access point, acts as a conduit for the communications to the internet or other network, which need not be private or secure. The medical device supports encrypted secure communications, such as a virtual private network technology. The medical device negotiates a secure channel through a smartphone or router, for example, which provides application support for the communication, but may be isolated from the content.

Aspects of the present invention include a method of dynamically routing requests within multiple cloud computing networks. The method includes receiving a request for an application from a user device, forwarding the request to an edge server within a content delivery network (CDN), and analyzing the request to gather metrics about responsiveness provided by the multiple cloud computing networks running the application. The method further includes analyzing historical data for the multiple cloud computing networks regarding performance of the application, based on the performance metrics and the historical data, determining an optimal cloud computing network within the multiple cloud computing networks to route the request, routing the request to the optimal cloud computing network, and returning the response from the optimal cloud computing network to the user device.

The present application discloses a system and method of critical web-based service architecture at a high level for color management systems in which services can be rendered remotely at very low cost to the end user using a cloud computing based computer network architecture. Service supported include Remote RIPPing, remote profiling, remote IQ analysis for diagnosing color problems, Remote System Problem Action Requests (SPAR) evaluation and patch distribution, remote copy match solutions; multi-machine matching; remote Half-tone downloads; other remote file processing; and image or photo indexing and retrieval.

A method, system, and computer-readable storage medium for using a distributed computing system are disclosed. For example, one method involves receiving one or more parameters. The one or more parameters indicate one or more operations. The method also involves selecting one or more computing resources from computing resources. This selecting is based on the parameter(s). An application is configured to be executed using the computing resource(s). The method also involves generating a workflow. The workflow indicates that the application is to be executed using the computing resource(s). The workflow indicates that the application performs the operation(s). The method also involves communicating at least a part of the workflow to one or more nodes, where the node(s) include the computing resource(s).

Compiling source code to provide an executable code build. The method includes configuring a pool of substantially identical virtual machines in a distributed cloud computing environment. Configuring may include configuring virtual machines to have generic code compiling functionality. The method further includes determining that source code for a particular user should be compiled. As a result, the method includes selecting a virtual machine from the pool of substantially identical virtual machines and configuring the selected virtual machine in a way that is specific to the user. Source code for the user is retrieved from a source control system deployed in the distributed computing environment. Using the virtual machine configured in the way specific to the user, the user's retrieved source code is compiled to compiled code. After compiling is completed, the configured virtual machine is restored to a generic form.

The invention discloses a task scheduling method under a cloud computing environment, and belongs to the technical field of computer application. The method of the invention comprises the following steps that: computer nodes register node information from a data center node; the computer nodes transmit health states thereof to a task scheduler through a health state reporting mechanism; the task scheduler allocates tasks to the computer nodes according to the node information, wherein during allocation, the difference between the computer nodes is not considered; computer nodes report the completion of the task to the data center node after each task is completed; the task scheduler allocates a new task to balance the task load between the computer nodes according to the task completion condition of each computer node; the data center node deletes the node information thereof when an abnormal computer node is found, and reallocates the task which is not completed by the node and serves as the new task; and the task scheduler recovers the task which is not completed within a specified time threshold value and reallocates the task as the new task. By the method, the safety for the task allocation under the cloud computing environment can be improved, and the throughput of the task scheduling is effectively improved.

The invention discloses an intelligent network-connected automobile operation system based on vehicle-road collaboration. The intelligent networked automobile operation system comprises a high-precision map platform, a cloud control platform, a vehicle-mounted terminal platform, a vehicle-mounted computing platform and an information security platform. The high-precision map platform provides a real-time dynamic high-precision map; the cloud control platform and the vehicle-mounted terminal platform are subjected to cooperative management and control through a communication network; the cloudcontrol platform executes data storage, cloud computing and standardized data interconnection; the vehicle-mounted terminal platform executes information reporting; wherein the vehicle-mounted computing platform is connected with the vehicle-mounted terminal platform through the vehicle-mounted Ethernet, over-the-horizon perception data, map data, environment data and the like are obtained, a vehicle driving scheme is formulated through fusion calculation, and the cloud control platform, the vehicle-mounted terminal platform, the vehicle-mounted computing platform and the map platform are allprovided with safety monitors. Common basic services are provided for operation of the intelligent network connection automobile, and national and industrial development requirements are met.

Systems and methods of implementing a secured cloud environment allow for design and instantiation of a security policy at the infrastructure level. An example system may comprise a first module to facilitate selecting at least two cloud computing component templates from a cloud computing component catalog. The system may comprise a second module to facilitate defining a connection between the at least two selected cloud computing component templates. The system may comprise a third module to facilitate assigning a security level and a policy to at least one of the at least two selected cloud computing component templates. The system may comprise a fourth module to facilitate building a cloud computing component blueprint.

The invention discloses a distributed transaction processing method on a cloud computing platform. The method comprises the following steps that: at first, start base services in a data storage cluster of the cloud computing platform, and start transaction processing services on a node of a data management cluster; connect a client end to a data management service node by a RPC (Remote Procedure Call Protocol), request a new transaction, and a local transaction manager receives a request to instantiate a transaction object and assign a transaction identifier for sending to the client end; the client end issues a data operation request of the transaction, and the local transaction manager sends the request to a corresponding transaction object for processing according to the transaction identifier owned by the client end; the client end issues a transaction submitting command, and the local manager is responsible for submitting the transaction. The distributed transaction processing method is applied to the cloud computing platform, so that size of transaction logs and log operation times are reduced by caching and combining transaction logs; and moreover, a master lock and lease management solve a blocking problem; a strategy processing failure condition is recovered to maintain data consistency.

A scalable and fault tolerant finite state machine engine, for example, for use in an automated incident management system, logs or records data in persistent storage at different points or levels during various internal processing of an event associated with an information technology element, and action taken associated with the event, by executing a finite state machine instance that encodes policies for handling incidents on such types of information technology elements. In the event that the finite state machine engine is shutdown during processing, the finite state machine engine is able to pick up from where it left off when it was shutdown, for each abnormally terminated finite state machine instance, by using the data logged in the persistent storage and determining a point of processing from where it should continue its execution.

A method of controlling energy consumption in a building. The method includes receiving occupant request data comprising a plurality of requests, wherein each of the plurality of requests corresponds to one of a plurality of zones in the building wherein the occupant request data is received via a cloud computing resource. The method also includes receiving weather data comprising at least one of current weather measurement data and weather forecast data wherein the weather data is received via a cloud computing resource. In addition, a facility management rule is received via a cloud computing resource. Further, the method includes generating a plurality of output control signals via cloud computing resource, wherein each of the plurality of output control signals is based on one of a plurality of requests and predicted occupant schedules, energy price data and the facility management rule. The control signals are generated by using simulation-based model predictive control method to determine a set of optimized control signals based on optimized energy use or optimized energy cost. The optimized control signals are transmitted to controllers.

The present invention provides a solution for reserving Cloud services within a Cloud computing environment. Under the present invention, a customer/user can select a service for use sometime in the future. By scheduling in the future, the user can guarantee the service will be available for a specific price and set of service levels. One factor is that advanced reservation affects the cost of the service and the bounds by which the service levels of the service may change. The further in advance the job is scheduled, the tighter the bounds of the service level may be for a specific price. Advanced reservation may also guarantee execution on a preferred provider rather than being moved to a partner Cloud.

The invention relates to an automatic selection method for machine learning in cloud computer environment. By using a cloud computing platform, a user can automatically and intelligently build a machine learning mathematic model which meets actual problems without building the operation environment of machine learning, selecting a machine to learn algorithm and even adjusting complicated machine learning functions and accompanying parameters but only using a Web method to upload sample data. Through the method, the use of machine learning is free from the environmental constraints and displays the advantages of the cloud computing platform, so that the machine learning model building is transparent to the user, so as to best reduce the use threshold of machine learning. The automatic selection method for machine learning in cloud computing environment solves the disadvantages of the unpredictability of model building selection, the manual experience of parameter adjustment, the difficulties of common users and the like when machine learning is applied in actual life.