Persistent, Polymorphy, Proxy, Reference

Glossary

persistent

A persistent object, unlike a →transient object, has a life span which does not depend on a process. In contrast to this, the life span of a transient object is limited by the life span of its process.

polymorphy

In object-oriented languages, a derived class inherits the interface of its base class(es). Polymorphy is when an object of the derived class can be used instead of an object of a base class.

In C++ we use C++ references and C++ pointers here. A pointer to a base class can refer to an object of a derived class. In order to call a method of the derived class in this case, it must already be declared as virtual in the base class. The method is then linked dynamically at runtime, depending on the current object (dynamic binding).

proxy

see →stub

reference

1.An alias for an object is called a reference in C++. If you access a reference, you actually access the referenced object. The reference is thus used in the same way as an object, from the syntactic point of view.

2.The ODMG uses the term reference to refer to →smart pointers, which are used to access a persistent object by dereferencing it. In C++, a reference of this kind, like a pointer, is dereferenced using the operators ->and *. Persistency Service uses

local references PMibs::MibsRef to access local persistent objects, and T-ORB uses →global references to address remote objects.

referential integrity

Referential integrity relates to the relations between objects. With the exception of the →0 reference, an object can only contain references to an existing object. An object which is deleted can no longer be referenced by another object. Persistency Service and Database systems can monitor referential integrity.

remote call

A remote call, i.e. a call between two processes (generally on different machines) is implemented by sending and receiving messages.

208	GINA V4.0 System Administrator Guide – September 2000

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.

Siemens V 4.0 manual Persistent, Polymorphy, Proxy, Reference, Referential integrity, Remote call

Models: V 4.0