314 results about "Deployment environment" patented technology

A method of utilizing one or more generic software components to develop a specific voice application. The generic software components are configured to enable development of a specific voice application. The generic software components include a generic dialog asset that is stored in a repository. The method further comprises the step of deploying the specific voice application in a deployment environment, wherein the deployment environment includes the repository.

Free space optical communications systems which resist atmospheric attenuation of optical beams is presented. Very long link distances remain highly reliable despite fog and other inclement weather conditions which otherwise tend to hamper optical transmissions in an atmospheric air column. Systems include primary elements as follows: a plurality of transceivers and at least one air column optical path. Each transceiver includes specialized light sources which produce radiation in the Mid-IR spectral region. In addition, these sources are very compact and well organized in view of their intended deployment environment. Further, special modulation means are joined with particular light sources to address high bandwith needs. In addition, specialized detection strategies are presented whereby sensitivity is improved. Alternative versions and configurations directed to specialized function are also described in detail.

A deployment modeling platform enables a user to model application characteristics of target software and to associate application modeling parameters to the modeled application characteristics. A user may also model environment characteristics of a target deployment environment and to associate environment modeling parameters to the modeled deployment environment characteristics. Still further, a user may create a deployment model that associates and maps selected parameters of the modeled application characteristics of the target software to associated parameters of the modeled environment characteristics of the deployment environment, and to verify that each parameter that relates to a requirement is mapped to and is fulfilled by an associated parameter that relates to a corresponding capability to determine whether validation problems exist in order to deploy the target software in the associated deployment environment.

Described herein is a reconciliation mechanism that facilitates reconciliation of deployment environments and dataflow descriptions. A dataflow description describes a dataflow, from which a code implementation can be generated for execution on one or more database systems, referred to as a deployment environment. To generate an implementation for a deployment environment, the elements of a dataflow description are bounded to the elements of a deployment environment. The elements of a deployment environment may change, which in turn may require changes to elements of a dataflow description that are bounded to the changed elements of the deployment environment. The reconciliation mechanism may be used to ascertain the differences between the dataflow description and the deployment environment and facilitate propagation of differences to either. The reconciliation mechanism may also be applied in other contexts, and in fact may be used to establish a binding between any sets of bindable objects.

A computer implemented method and system for software auditability and bidirectional traceability in a software development lifecycle is provided. The lifecycle having at least development and deployment phases is bridged with a configurable workflow engine, a configuration management engine, and a managed deployment engine, interconnected with one or more representations of work to be performed or of work performed. Additionally, auditability and bidirectional traceability is provided by linking a development asset in the development phase to a deployment asset in the deployment phase so that: the development asset can be determined from the deployment asset; a deploying entity deploying the deployment asset can be determined from the development asset; a development request for developing the development asset can be determined from the deployment asset deployed; and a deployment environment where the deployment asset is being deployed can be determined from the development asset.

A method of deploying applications in an application deployment environment comprising a plurality of servers is provided that includes selecting an application for deployment on a first server in the plurality of servers, and activating an application configuration engine provided by a central deployment repository, wherein the application configuration engine instantiates the application on the first server based on configuration information for the application stored in the central deployment repository.

The invention is generally related to operations support systems and more specifically, to a method of and system for deployed maintenance operations for equipment or assets. Existing web-based systems support organizations may be spread over large geographies, but only insofar as each part of that organization can remain fully-connected to the central server or data centre. The system described herein, on the other hand, allows portions of the organization to operate for long periods of time without a dedicated connection, while keeping technical records accurate. The system described herein allows a customer to set up a ‘deployed site’, which is effectively an environment that operates as a partial copy of the master site (which contains baseline data), and is only allowed to operate on a specific subset of the assets in the system (say, a fleet of aircraft). This deployed environment has all the required configuration and transactional data to run as a standalone system until the deployment is no longer required. At that time, the deployed site can be decommissioned by transferring the assets out to other sites, deployed or not.

The invention discloses a workflow device, a system and a configuration method based on a service-oriented architecture. The configuration of workflows is realized by adopting the service-oriented architecture, business nodes are deployed in different deployment environments in manner of loose coupling by utilizing a WEB service technology, and a user can freely change or generate new workflows in manner of modularization so as to meet new business requirements. Thereby, the compatibility and the flexibility of the workflow system can be improved so as to flexibly adapt to the change and the development of company business and reduce the risk of a company adopting a new system.

The invention provides a method for testing a distributed type Web based on a cloud computing environment. An elastic computing resource of cloud computing is adopted, so that an elastic Web test is achieved. According to the method, the elastic deployment environment of the Web test and an elastic test client terminal for the Web test are designed. The elastic deployment environment aims at simulating server deployment when large-scale user requests are sent. Load balance of dynamic server node addition and deletion, automatic Web application deployment, requesting and corresponding monitoring and a server node processing request is achieved through a cloud computing structure. The elastic test client terminal aims at simulating large-scale user requesting behaviors, a large number of user requests are created through virtualization resources of the cloud computing structure, detailed information of a test request is set through a deployment mode, and a large scale of testing results are counted.

The invention discloses a large-scale network monitoring oriented virtual deployment system and method. The system is provided with a deployment center platform and a plurality of deployment target machines communicated with the deployment center platform via a network. The deployment center platform is responsible for uniformly planning and managing a topology structure of measurement probe deployment in an entire computer network, issuing a deployment task according to the existing measurement probe deployment condition and network congestion condition, and executing management and version control on the deployed measurement probes. The deployment target machines receive and execute commands from the deployment center platform, and automatically execute corresponding operations so as to enable the measurement probes to be usable in the network; and a software dependency detection mechanism and a process matching rule are respectively used for realizing the platform independency of deployment and verifying the achievement of deployment. The system and the method can be used for solving a plurality of problems, such as dependency detection for deployment environment of the target machines, upgrading and maintaining of a management system version, concurrent deployment, automatic installation and detection of the plurality of target machines, dynamic scheduling and the like, in the prior art, and have better promotion and application prospects.

A method and wireless system that is able to adapt forward channel signal parameters to the different channel characteristics in each deployment environment. For example, the base station may update the waveform parameters based upon the real-time channel measurement feedback as received from the subscriber stations.

The invention discloses a response method and device of explore frames in the wireless local area network. The method includes the following steps: a network side server receives the measuring results of signal intensity of the same terminal appliance STA, which are reported by the device of each access point AP; the network side server selects a given amount of AP to respond to the explore frames of the STA according to the measuring results of the signal intensity reported by each AP. In the invention, the network side server selects a given amount of AP to respond to the explore frames of the STA on the basis of the received signal intensity of STA reported by each AP, thus effectively reducing the response quantity to the client explore frames by AP in the AP high-density deployment environment, reducing the empty port conflicts and improving the overall performance of the network without influencing the access and roaming service of clients. Besides, the method is compatible with the standards of the wireless local area network in the prior art with no need of any modification.

The invention discloses a model generation method and device, electronic equipment and a storage medium, and relates to the technical field of artificial intelligence, in particular to the technical field of deep learning. The specific implementation scheme is as follows: determining data used for model training according to a detected first user operation acting on a current application interface; performing model training based on the data through a deep learning framework module integrated in the current application; and generating and outputting a code file corresponding to the trained model according to the model deployment environment. According to the embodiment of the invention, the client can be visualized by integrating the application of the deep learning framework; therefore, adeveloper only needs to operate on the application interface to realize model training; a developer can realize model training based on a deep learning framework without knowing about program development and mastering related interface and parameter adjustment mode details of a deep learning framework program, and then a code file of the trained model is obtained, so that the model training efficiency is improved, and the workload is reduced.

The application suitable for the technical field of cloud provides a cluster deployment method and device, terminal equipment and a storage medium. According to the cluster deployment method, a node to be deployed of a cluster host is determined and a preset first configuration file is invoked; a deployment environment of the cluster host is initialized according to the first configuration file; asecond configuration file of a to-be-deployed node of the cluster host, is generated so as to generate a corresponding configuration file for the to-be-deployed node of the cluster host without manually configuring node parameters for each node by a user; according to the second configuration file, a node corresponding to the cluster host is deployed in the initialized deployment environment, sothat the system can deploy the node of the cluster host according to the second configuration file to complete cluster deployment. Therefore, according to the cluster deployment method provided by theembodiment of the invention, manual configuration of a user is not needed from environment deployment of the host to node deployment of the host, one-key cluster deployment is realized, and the deployment efficiency is improved.

A method and apparatus are described including scanning a channel, generating a report for the scanned channel, transmitting the channel report to an associated access point and receiving a channel assignment responsive to said channel report. Also described are a method and apparatus including scanning a channel, generating a first channel report, receiving a second channel report from an associated client, transmitting the first channel report and the second channel report to a server, receiving a channel assignment message from the server responsive to the first and second channel reports and transmitting the channel assignment message to the associated client. Further described are a method and apparatus including receiving a channel report from an associated access point, building an interference graph responsive to the channel report, determining channel assignments based on the interference graph and transmitting a channel assignment message to the associated access point.

The present invention relates to an apparatus and method for controlling an uplink (UL) scheduling and Hybrid Automatic Repeat reQuest (HARQ) timing supported in a TDD-FDD CA environment. The method includes receiving, on a first serving cell, at least one of a first UL grant and a first Physical HARQ Indicator Channel (PHICH) about a second serving cell through a cross-carrier scheduling, and receiving, on the second serving cell, at least one of a second UL grant and a second PHICH about the second serving cell through a self scheduling. According to aspects of the present invention, in a TDD-FDD carrier aggregation deployment environment, an efficient UL scheduling/HARQ operation may be performed for a UE in which a cross-carrier scheduling is configured. Further, in order to satisfy high data rate required by a UE, data transmission efficiency may be enhanced in accordance with the purpose of carrier aggregation.

In one embodiment, a delegation engine automatically provisions a device connected to a network to securely identify and interact with external services. As a device boots in a deployment environment, the delegation engine generates a search domain name based on a manufacturer-supplied domain name and a domain name associated with the deployment environment. The delegation engine then searches a Domain Name System (DNS) to retrieve a delegation record stored at the search domain name. After verifying a manufacturer signature associated with the delegation record, the delegation engine configures the device based on service discovery information included in the delegation record. Because the delegation engine automates the provisioning process, the time required to provision devices is acceptable irrespective of the number of the devices. Further, because the delegation engine verifies the delegation record, the delegation engine does not expose the device to security risks during the provisioning process.

A service integration platform system includes an interface configured to receive a service request initiated by an Independent Software Vendor (ISV) and one or more processors configured to authenticate the service request and in the event that the service request is authenticated, route the service request to an Internet Service Provider (ISP) providing the service to be further processed. The service request is routed to a deployment environment provided by the ISP in the event that the service request is received on a deployment Universal Resource Identifier (URI) corresponding to the deployment environment; the service request is routed to a test environment provided by the ISP in the event that the service request is received on a test URI corresponding to the test environment.

The invention provides a wooden board sorting method and system based on machine learning. The method comprises steps that firstly, image samples of wooden boards having different moving speeds are acquired under the different environments, secondly, free definition classification of the wooden boards is carried out, and the corresponding relationship between the image sample and free definition classification is established; images of the wooden boards are acquired, the acquired wooden board images are analyzed through the learned neural network, wooden board classes and the classification operation execution time are determined, and classification operation of the wooden boards is carried out at the time to classify the wooden boards to the determined classes. The method and the system are advantaged in that an automatic sorting machine is made to rapidly adapt to continuously changing product classification demands, the changeable disposition environment, high-difference timber materials and the paint spray process.

The present invention provides systems and methods for electronically delivering banking services to end clients and, more particularly, using Internet based technologies as a means of exposing those services. The solution to this problem set forth in this invention is the creation of a common electronic delivery infrastructure and application deployment environment, exposing an institution's entire portfolio of corporate banking services to its clients at a number of different locations at any time.