Configuration language

The attribute SYNC_WAIT specifies whether synchronous calls (callAndWait, addToChain and execChainAndWait) are permitted in this TAC class. This attribute can only be assigned to one of the three TAC classes.

The PRIORITY statement may only be used once on system, host or TA application level. The PRIORITY statement on the system level applies to all hosts, if there is no PRIORITY statement in the HOST statement.

The PRIORITY statement on the host level applies accordingly to all TA applications.

REMOTE

The REMOTE keyword classifies a client as a remote client. If the REMOTE flag is not spec- ified as the last parameter, a client is generated locally if it only has local connections to servers; otherwise, a remote generation is created.

REPOSITORY

The REPOSITORY statement defines the file name of a repository in the current directory. This repository contains the generation number and the associated port numbers and keys for each of the OsId and LayerId pair.

If the file exists, these values are read, saved internally, and used during generation. If the file does not exist, the values are generated automatically. The repository is written once generation of these values is concluded.

The repository supports generation for a modified configuration. If an application is removed, the same identifiers are used in the kdcdf file for the remaining applications. The same port numbers are also used for the TNSX entries.

The REPOSITORY statement is optional. If this statement is not specified, no memory is used in the generation.

REREADTIME

The REREADTIME statement has one parameter that defines a time interval in minutes.

REREADTIME(minutes)

The status of the gina.config file of a TA_APPLICATION will be checked every minutes minutes. The file will be read in once more if there has been a change in the status.

The REREADTIME statements at system level apply for all hosts unless the HOST statement contains a REREADTIME statement.

The REREADTIME statements at host level apply accordingly for all TA applications.

60

GINA V4.0 System Administrator Guide – September 2000

Page 71 Page 73
Page 72
Image 72
Siemens V 4.0 manual Remote, Repository, Rereadtime
Page 71 Page 73

V 4.0 specifications

Siemens V 4.0 is an advanced digital platform designed to enhance operational efficiency and streamline processes in various industries. It embodies the principles of Industry 4.0, leveraging cutting-edge technologies to create a more connected, intelligent, and automated manufacturing environment. This platform integrates data-driven insights and advanced analytics to facilitate informed decision-making and improve productivity.

One of the main features of Siemens V 4.0 is its ability to provide end-to-end visibility across the manufacturing value chain. By connecting machines, production lines, and supply chains through the Internet of Things (IoT), Siemens V 4.0 enables real-time monitoring and control. This connectivity allows companies to identify bottlenecks, reduce downtime, and enhance overall operational performance.

Another key technology embedded in Siemens V 4.0 is artificial intelligence (AI). AI algorithms analyze vast amounts of data generated throughout the production process, enabling predictive maintenance and optimizing production schedules. By anticipating equipment failures and streamlining operations, businesses can achieve significant cost savings and minimize disruptions.

Siemens V 4.0 also emphasizes the importance of automation and robotics. By integrating robotic process automation (RPA) into manufacturing workflows, companies can achieve higher levels of efficiency while reducing human error. This automation not only speeds up production times but also allows workers to focus on more complex tasks that require human ingenuity.

Additionally, Siemens V 4.0 supports advanced simulation and digital twin technology. Through the creation of virtual models of physical assets, manufacturers can simulate different scenarios, identify risks, and optimize design processes before implementation. This capability accelerates innovation while minimizing waste and resource consumption.

Another important characteristic of Siemens V 4.0 is its scalability. The platform can be tailored to meet the unique needs of various industries, from automotive to pharmaceuticals. This flexibility ensures that companies of all sizes can leverage its capabilities, driving global competitiveness.

In conclusion, Siemens V 4.0 is revolutionizing the manufacturing landscape through its comprehensive suite of features, including IoT connectivity, AI-driven insights, automation, and digital twin technology. By adopting this platform, businesses can transition toward more efficient and sustainable operations, ultimately preparing them for the future of industrial production.
Top Page Image Contents