73 results about "Lifecycle model" patented technology

Described is managing the changing of software implementations such as applications deployed to enterprise client users or machines. Precedence relationships between deployed applications are specified. To determine which applications to install for a given client, the precedence is applied to the subset of applications assigned or published to the client. At logon or machine reboot, an upgrade process evaluates the deployed applications and any upgrade relationships, setting applications for removal or installation. A user may also install an application that has been designated as optional. Also described is an application lifecycle model for replacing applications. For example, administrators can phase in upgrades as a pilot to a small group of users, roll out upgrades to a larger group, and then provide the application to all users. Upgrades may be mandatory or optional, and replaced programs may be removed and then replaced, or overlaid during installation.

A computerized tool and techniques for enabling a software lifecycle management tool for an end user is provided. In one example embodiment, this is accomplished by using a V-process software development lifecycle model built with a workflow engine on an IT governance application. The technique provides an end-to-end life cycle with automatic review processes that complies with an external quality standard, such as level 2 CMMI. Further, the technique provides an on-line reference document including best practices at each phase in the V-process lifecycle.

Systems and methods for testing and deploying LDAP applications are disclosed. A test application may be tested in a test environment including a test directory. The test application may change data stored in the test directory. Furthermore, the test directory may be configured to receive changes from a production directory in a production environment. When the application is ready to be deployed, changes to the test directory are migrated to the production directory through reverse replication or application data migration. The application is configured to connect to the production directory, and the application is thereby deployed in the production environment.

The present invention extends to methods, systems, and computer program products for managing software lifecycle. Based on declarative models and knowledge of their interpretation, embodiments of the present invention facilitate lifecycle management for model-based software applications. Lifecycle models, such as, for example, lifecycle state machine models are stored in a shared repository such that executive services can determine how software application lifecycles are to be managed and transitioned. Software lifecycle activities can verify that a transition is possible and identify any errors preventing a lifecycle transition. Model-based error handling and error recovery mechanisms can be used to correct any identified errors.

Embodiments of the present invention address deficiencies of the art in respect to SOA systems migration and provide a method, system and computer program product for SOA lifecycle model migration. In one embodiment of the invention, a method for migrating a process model in a monolithic application to an SOA lifecycle model in an SOA based system can be provided. The method can include selecting process steps implemented by code assets in a code base for the monolithic application, mapping the selected process steps to corresponding ones of the code assets, and determining entry and exit points in the code assets for establishing callbacks into services defining the SOA based system. Thereafter, callbacks to the determined entry and exit points can be established and the services can be deployed.

A quality management framework (hereinafter referred as “framework”) for a software project lifecycle is provided. The framework enables generation of at least one software program while ensuring compliances with at least one standard. The plurality of items of the library includes tool an organization chart depository, a policy depository, a procedure depository, a life cycle model depository, a guideline depository, a template depository, a process asset depository, a workflow diagram depository and a checklist depository. Each of the items of the library is configured to be updated and accessed. The life cycle model depository of the library is configured to include a modular interface that enables handling of multiple lifecycle (V-model, waterfall model, iterative model etc.) models. The framework is configured to allow access the library.

Disclosed are a method, system and computer software tool for capturing innovation. The software tool comprises means for entering an innovation into a database, and a system for evaluating said innovation. The software tool further comprises means for completing a business plan for implementing said innovation, and means for mapping said innovation to specific customer pain points. The preferred embodiment of the invention allows for a highly efficient tracking and management of innovation ideas. It does this by using a number of features. including workflow functionality to efficiently process, manage, and evaluate innovation ideas. The preferred embodiment also allows for innovation ideas to be managed in a lifecycle model, with different requirements by lifecycle stage.

An embodiment of the invention discloses an information pushing method. The method comprises the steps of in response to a current behavior of a user, extracting an attribute characteristic from a conversation that the current behavior belongs to, inputting the attribute characteristic to a preset user behavior life cycle model, and outputting a stage of the user in a user behavior life cycle currently; inputting attribute characteristics extracted from a to-be-pushed object and the user to a preset hit probability model corresponding to the stage of the user in the user behavior life cycle currently, and outputting a hit probability of the to-be-pushed object, wherein hit probability models corresponding to different stages are different; selecting at least one to-be-pushed object according to the sequence of the hit probabilities of to-be-pushed objects from big to small; and pushing the selected to-be-pushed object. Through the method, the possibility of repeated search by the user can be reduced as far as possible and the resources of a search server and a pushing server are saved while the user experience is improved. An embodiment of the invention discloses an information pushing apparatus.

Provided is a system and method for internet big data task scheduling based on a life cycle model.The task scheduling system is constructed by designing a task expression method based on a data task life cycle model by establishing the data task life cycle model.The task scheduling system comprises an interface layer, a storage layer, a metadata layer and an execution layer.The metadata layer abstracts task instances and the dependencies of the task instances into an attributed graph, nodes in the attributed graph represent the task instances, node attributes include parameters of the task instances, sides in the attributed graph represent the dependencies of the task instances, and the task instances are scheduled through the attributed graph.The system can automatically derive the dependencies of tasks and is higher in automation degree and reliability.After the completion of data task development, task execution can be controlled only by submitting different instantiated parameters, the efficiency is higher, and the system is more intelligent.

The invention discloses an APT threat identification method. The method comprises the steps of establishing a normal data behavior model; establishing an APT attack life cycle simulation model; and establishing a threat visualization association analysis data behavior model. Through establishment of a normal data behavior model, periodical association analysis is carried out on log data of varioussources so as to find abnormal data, suspicious APT attack behaviors and the like. An APT attack behavior and an attack path can be simulated by establishing an APT attack life cycle simulation model, and suspicious APT attack actions can be found in advance. And the danger degree is judged according to the actual action after the device is actually operated. A comprehensive data real-time correlation analysis platform based on the Zunyi power supply bureau network environment is developed, and APT attack visualization in the user environment is achieved through a static analysis module, a dynamic analysis module and a behavior detection correlation analysis module.

The invention relates to a GIS-based intelligent monitoring method for a land full life circle. The method comprises the steps that 1, a space position parameter determining module determines coordinates according to click positions; 2, a land full life circle model building module obtains layers contained in all stages, a topological relation between the layers and 1 is built, and latest and historical items are obtained according to the reverse chronological order; 3, an item information updating module builds the GIS topological relation according to the currency of 2 and completes initial updating; 4, an item information check module checks 3 according to a check rule module and the GIS topological relation; 5, an intelligent monitoring module automatically gives an early warm according to stage division rules and display rules, and updating is carried out according to 3 and 4. An item implementation schedule visible result obtained through the GIS-based intelligent monitoring method is obviously better compared with a land management service total factor life cycle model and a static state visible and single updating technology, dynamic correlation and real-time early warning can be carried out on different land utilization stages, and the intelligent monitoring purpose is achieved.

The invention belongs to the technical field of data management and specifically relates to a method for monitoring a business flow based on complex event processing technology. The method comprises limiting a flow query language according the context of the business flow and event semantics; establishing a basic complex event mode matching model with the flow query language; establishing an event-based life cycle model on the basis of the basic complex event mode matching model; providing an event cleaning algorithm on the basis of the basic complex event mode matching model; and providing a mode-spanning event sharing algorithm on the basis of the basic complex event mode matching model. A high-adaptability flow monitoring algorithm achieved on the basis of the complex event mode matching model has a high-efficient event cleaning and sharing mechanism. The method is capable of effectively supporting real-time business flow monitoring and has characteristics of high processing performance, strong flexibility, and high throughput rate even under the condition of massive events and massive query.

The invention belongs to the technical field of energy-saving and environmental protection, in particular to a comprehensive environmental impact assessment method of green building based on the lifecycle theory, which mainly comprises the following steps of: 1) establishing a life cycle model; 2) acquiring data; 3) model result and analysis; 4) establishing an evaluation system. The invention provides an environmental impact assessment method of green building, which synthesizes a large number of research green building assessment standards at home and abroad, and utilizes life cycle assessment and life cycle cost theory to carry out a relatively comprehensive assessment method for the comprehensive environmental impact of green building. As one of the longest-serving economic products,buildings will consume a lot of resources and have a tremendous impact on the environment. If we can fully analyze what factors and activities will have an impact on the environment throughout the life cycle of the building, and evaluate its comprehensive impact on the comprehensive cost. On this basis, with the corresponding effective improvement, the sustainable development of the construction industry can be realized.

The invention discloses a turning repair method based on a rail transit vehicle wheel set service life statistical model. The method comprises the following steps: firstly, establishing a rim size model and a wheel diameter size model; correcting the rim size model and the wheel diameter size model by using a filtering and clustering algorithm to obtain a typical model curve, and combining the rimsize model and the wheel diameter size model to obtain a wheel set life cycle prediction model; establishing a relation model between the rim abrasion rate and the rim thickness size and between thewheel diameter abrasion rate and the rim thickness size; selecting different wheel flange turning repair thresholds and wheel flange recovery thresholds to randomly simulate a Gaussian process, performing iterative simulation on changes of the wheel flange thickness size and the wheel diameter size, and obtaining expected turning repair times and expected life cycle length according to the wheel set full life cycle model; and finally, in combination with the wheelset life cycle prediction model and the relationship between the wheelset wear rate and the rim size, hybrid turning repair optimization is carried out. The wheel set is high in practicability and low in cost, and the service life of the wheel set is effectively prolonged.

An environmental impact estimation method comprising storing information related to reuse and recycle objects in a memory unit, performing life cycle modeling to make a life cycle model, the life cycle modeling including reading information related to the reuse and recycle objects, selecting some of the reuse and recycle objects which can be diverted to a new product, and combining the reuse and recycle objects selected together to assemble new product, predicting, as a superposition of two or more arbitrary shapes, recovery distribution of products by the life cycle modeling to predict a recovery quantity of the reuse and recycle objected, using the life cycle model, determining the arbitrary shapes as a peak of the product worth life or product useful life, and evaluating an environmental impact and a cost to bear in reuse or recycle based on prediction result.

The invention discloses a design optimization method for an ice storage air-conditioning system based on a full life circle. The design optimization method comprises the following steps that an operation model of the ice storage air-conditioning system is established according to the characteristics of the ice storage air-conditioning system; the hourly loads of the ice storage air-conditioning system, obtained through TRNSYS simulation, in the operation periods in a typical meteorological year are taken as a basis; the design capacity and the cooling capacity per hour of a refrigeration host and an ice storage device are set; the annual operating cost of the ice storage air-conditioning system is represented; an objective function for representing the lowest full life circle cost of the ice storage air-conditioning system is established by combination with the initial cost of an ice storage air-conditioning device; and the model is solved by using an improved particle swarm optimization algorithm, so that the design capacity of a refrigerating unit and the ice storage device through which the full life cycle cost of the ice storage air-conditioning system is lowest is obtained, and can save the system costs for users.

The invention discloses a system for realizing a life cycle model of a plate blank in basic automation, which comprises a plate blank tracking module, a life cycle speed calculating module, a casting speed-based flow set value module, a casting speed flow curve on-line optimizing module and a flow temperature compensation module, wherein the plate blank tracking module tracks heat flow slices dynamically; the life cycle speed calculating module records the time when each cooling loop slice comes out of a crystallizer; the casting speed-based flow set value module adjusts the cooling target flow of each cooling area dynamically according to the dynamic change of casting speed in the pouring process; the casting speed flow curve on-line optimizing module optimizes a cooling area casting speed curve and a cooling area flow curve on line and modifies the target flow of cooling loops at different casting speeds by a human-computer interface; and the flow temperature compensation module controls proportion integration differentiation (PID) water volume compensation according to temperature deviation, and optimizes cooling water volume according to target temperature. The system can overcome the control deviation of the target flow in the cooling areas due to the sudden change of the casting speed in the pouring process, improve the control accuracy of the target flow in the cooling areas, and reflect the actual casting speed condition on site in real time.

Certain example embodiments concern a lifecycle management system for at least one computing component. A lifecycle model, including lifecycle states assignable to the at least one computing component, is defined. The lifecycle states include a production state. The lifecycle management system ensures the at least one computing component can be productively used only if it is assigned the production state. A lifecycle transition request assigning a requested target lifecycle state of the lifecycle model to the at least one computing component is received. A conditional lifecycle state, different from the requested target lifecycle state, is assigned to the at least one computing component. At least one condition to be fulfilled for the at least one computing component to be assigned the requested target lifecycle state is assigned. The requested target lifecycle state is automatically assigned to the at least one computing component when the at least one condition is fulfilled.

Embodiments of the present invention address deficiencies of the art in respect to method and process management, and provide a data processing system, method, and computer program product for providing extended multi-lifecycle breakdown structure models. In an embodiment of the invention, a methods management data processing system can be provided. The system can include a method management tool including program code enabled to render multiple views of different instances of different lifecycle models for a process described by a single breakdown centric process representation. For instance, the lifecycle models can include an incremental lifecycle model, a waterfall lifecycle model, an iterative lifecycle model and an evolutionary lifecycle model, to name only a few.

The invention discloses a life cycle processing method and device, equipment and a storage medium. The method comprises the following steps: determining a live broadcast life cycle, wherein the live broadcast life cycle is used for representing audience user activeness for a preset time period; Obtaining live broadcast watching behavior data generated when audience users watch live broadcast in the live broadcast life cycle; And inputting the live broadcast watching behavior data into a preset live broadcast life cycle model for processing, and obtaining a life cycle label representing the activeness of the audience user in the live broadcast life cycle. By means of the method, the problem that the viscosity of the product to the user cannot be found in time is solved, the stage of the life cycle where the user is located is judged through short-time user behaviors, the user in the off-peak period is found in time, and the user is recalled under the condition that the user is not completely separated from the product.

The invention relates to a deployment method for a plurality of water surface sink nodes of an underwater wireless sensor network. The method comprises the steps of establishing a life cycle model ofthe network and a delay model of the network; importing a local differential search method and differential cross and mutation operators to improve an NSGA-II algorithm, and carrying out deployment optimization on the plurality of water surface sink nodes of the underwater wireless sensor network through application of the improved NSGA-II algorithm and the life cycle model and the delay model ofthe underwater wireless sensor network; and carrying out relative efficiency sorting through application of the deployment method for the plurality of water surface sink nodes, and determining a relative efficiency optimal deployment scheme, wherein the relative efficiency optimal deployment scheme is obtained by a super-efficiency DEA method. According to the method, the optimized deployment scheme for the plurality of water surface sink nodes of the underwater wireless sensor network can be computed comprehensively, precisely and conveniently, and the method guidance for the underwater wireless sensor network to maximally reduce the energy consumption and network transmission delay is provided.

The invention provides an event detecting method, which generates at least one optimum lifecycle model according to the data of at least one historical event, at least one nutrition growth function and at least one event trigger point rule. The method comprises the following steps of receiving an event, describing the strength value of the event according to a lifecycle model corresponding to the event, judging whether an even trigger point is reached according to the strength of the event, sending out an event sending notice and then sending an event notice when the strength of the event changes to the even trigger point. The event detecting method has the advantages of improving the capability of tracing the subsequent development of the event, ensuring that the trigger of the event is more accurate and accords with the situation of the event actually taking place better, comprehending the evolution process of the event and filtering false alarms.