International Business Machines Corporation

Jia Tan

Xin Sheng Mao

Bo Yang

Tong Li

Zhi Rong Zhou

Lei Li

Jian Huang

Ge Jin

Ya Wu

Xin Peng Liu

Xing Yang

Xi Ning Wang

Li-Ju Chen

Jun Ma

Xinsheng Mao

Lian Zhang

A technique for deploying an application in a cloud computing environment includes collecting, when a user is deploying an application, metadata and instructions on deploying the application. The metadata includes service metadata, application metadata and topology metadata, where the service metadata includes metadata on a service required for deploying the application, the application metadata includes metadata on the application, and the topology metadata includes metadata indicative of a relationship between the service and the application. The collected metadata and instructions are stored as a model for re-deploying the application.

Deploying an application in a cloud computing environment

Partitioning a set of data using a binary format to more evenly distribute data values across a set of data partitions. By using a system of matching binary indices in a 'back to front' manner, data values stored in or associated with data partitions are more evenly balanced.

Determination of data partition

A technique for deploying an application in a cloud computing environment includes: collecting, while a user is deploying an application, metadata and instructions issued by the user on deploying the application, the metadata comprising service metadata, application metadata and topology metadata, wherein the service metadata comprise metadata on a service required for deploying the application, the application metadata comprise metadata on the application, and the topology metadata comprise metadata indicative of a relationship between the service and the application; and storing the collected metadata and instructions as a model for re-deploying the application.

A system and technique for deploying an application in a cloud computing environment includes: a collecting module executable by a processor unit to collect, while a user is deploying an application, metadata and instructions issued by the user on deploying the application, the metadata comprising service metadata, application metadata and topology metadata, wherein the service metadata comprise metadata on a service required for deploying the application, the application metadata comprise metadata on the application, and the topology metadata comprise metadata indicative of a relationship between the service and the application; and a storing module executable by the processor unit to store the collected metadata and instructions as a model for re-deploying the application.

A method includes receiving a selection of a predefined implementation variation for a variable service component in at least one computing device configured to implement a service-oriented application; and executing source code associated with the variable service component in response to receiving the selection, wherein the source code performs a predetermined rebuilding of at least a portion of the service-oriented application such that the variable service component is redefined according to the selected implementation variation.

Rebuildable service-oriented applications

A technique for deploying an application in a cloud computing environment includes: collecting, when a user is deploying an application, metadata and instructions on deploying the application, the metadata comprising service metadata, application metadata and topology metadata, wherein the service metadata comprise metadata on a service required for deploying the application, the application metadata comprise metadata on the application, and the topology metadata comprise metadata indicative of a relationship between the service and the application; and storing the collected metadata and instructions as a model for re-deploying the application.

A method for developing an application comprises: one or more processors selecting at least one service associated with an application; and one or more processors creating a binding between the application and the at least one service. Creating the binding is performed by generating, in association with the application, a profile for the at least one service, where the profile contains at least one parameter associated with the at least one service. One or more processors automatically instantiate the at least one parameter in the at least one service based on an environment in which the application runs.

Development, test and deployment of applications

Allocating resources for tasks in a build process is provided. The build process includes a plurality of tasks. Task metadata is obtained. The task metadata comprising a task type of a second task in the plurality of tasks. Execution metadata is obtained. The execution metadata comprising an execution result of a first task in the plurality of tasks. The second task depends on the execution result of the first task. A resource required by the second task is determined according to the task metadata and the execution metadata.

Allocating resources to tasks in a build process

According to one aspect of the present disclosure a system and technique for deploying an application in a cloud computing environment includes: a collecting module executable by a processor unit to collect, when a user is deploying an application, metadata and instructions on deploying the application, the metadata comprising service metadata, application metadata and topology metadata, wherein the service metadata comprise metadata on a service required for deploying the application, the application metadata comprise metadata on the application, and the topology metadata comprise metadata indicative of a relationship between the service and the application; and a storing module executable by the processor unit to store the collected metadata and instructions as a model for re-deploying the application.

The present invention provides a service-oriented system comprises: a service inlet for receiving a service request containing an input data set submitted by a user; a service proxy interface formed by integrating an existing web-based application, for transforming the input data set in the service request submitted by the user into input parameters recognizable by the requested service and loading a model definition document corresponding to the service according to the service request submitted by the user, the model definition document being formed by integrating the existing web-based application; and an execution engine for interacting with an external resource according to the input parameters transformed by the service proxy interface and returning the information obtained from the external resource to the service proxy interface.

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Beijing, China

Jia Tan