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Glossary

data link point

A data link point is an end of a transaction using commit. Transaction-monitored changes become visible and permanent outside the transaction at a data link point (see ACID property of transactions).

data reference

A data reference DREF(P) is a special global reference. It cannot be dereferenced. A data reference can however be used as an object, a data member, an argument or a result.

distributed transaction

Distributed processing is when a transaction covers a number of processes, generally on a number of machines. In this case, a number of local transactions from different resource managers are grouped together by a transaction monitor to form a global transaction.

end of transaction

At the end of a transaction, the entire operation must either be confirmed (commit) or reversed (rollback). A (local) end of transaction occurs at the end of a transaction- monitored call or at an action point, which is a data link point.

In distributed transaction processing, all the local end of transactions only come into effect when a global end of transaction occurs. Since the server process is automat- ically released under T-ORB when an end of transaction occurs, the end of transaction is not only a data link point for the database, but also a restart point for the operation.

exception handling

In addition to indicating processing errors using special return codes in the case of method calls, exception situations in GINA are indicated by initiating exceptions. This procedure is used in particular when resource bottlenecks occur.

external interface

A method in the external interface of a server is called using a remote request/call. The external interface method decodes the parameters, calls the technical operation and encodes the results which are sent back to the client. In DCE we call this a server stub, in CORBA we talk about a skeleton.

framework

A framework refers to a general framework in which the application constructor adds application-specific code as modules.

GINA V4.0 System Administrator Guide – September 2000

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Siemens V 4.0 Data link point, Data reference, Distributed transaction, End of transaction, Exception handling, Framework

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.