Transition (computer science)
Template:New unreviewed article Transition refers to an informal paradigm in the context of communication systems which describes the transition between mechanisms, i.e., functions of a communication system, in particular service and protocol components. In a transition, functionally comparable mechanisms within a communication system are converted into one another. The aim is to ensure the highest possible quality and quality of service.
Idea and Functional Principle
Through the transition, communication systems should be able to adapt to changing conditions during operation. This change can, for example, be a rapid increase in the load on a service, which may be caused, for example, by the accumulation (and compression) of people with mobile terminals. A transition often affects different mechanisms at different technical levels of a layer architecture.
Mechanisms are understood as conceptual elements of a networked communication system and are linked to specific functional units, especially as a service and protocol component. In extreme cases, a mechanism can also be an entire protocol. At the transmission level, for example, LTE would be such a mechanism. There are numerous mechanisms and they are partly equivalent in their basic functionality, such as Wi-Fi, Bluetooth and ZigBee for local wireless networks and UMTS and LTE for broadband wireless connections. For example, LTE and WIFI have equivalent basic functionality, but are technologically diverse in their design. Mechanisms affecting transitions are often components of a protocol or service. For example, in the case of video data transmission, the use of different video data encodings can be carried out depending on the available data transmission rate. These transitions are controlled and implemented by transitions; An example from research is a context-aware video adaptation service to support mobile video applications [1]. Through Transition these existing, diverse structures are used. By analyzing the current processes in the communication system, it is possible to determine which transitions are to be executed at which level in order to meet the current requirements with regard to the required quality. In order to adapt communication systems to the respective framework conditions, architecture approaches of self-organizing, adaptive systems are available, such as the MAPE cycle [2] (Monitor-Analyze-Plan-Execute). This central concept of Autonomic Computing is used to determine the state of the communication system, to analyze the monitoring data and to plan and execute the necessary transition. A central goal is that users do not consciously perceive the transition (s) in the running application and the functionality of used services is perceived as smooth and fluid. This central concept of Autonomic Computing is used to determine the state of the communication system, to analyze the monitoring data and to plan and execute the necessary transition. A central goal is that users do not consciously perceive the transition (s) in the running application and the functionality of used services is perceived as smooth and fluid. This central concept of Autonomic Computing is used to determine the state of the communication system, to analyze the monitoring data and to plan and execute the necessary transition. A central goal is that users do not consciously perceive the transition (s) in the running application and the functionality of used services is perceived as smooth and fluid.
Recent Research
The study of new design methods, models and procedures that enable automated, coordinated and inter-layer transitions between functionally similar mechanisms within a communication system is the main goal of a DFG special research area, the DFG special research area1053 MAKI - multi-mechanism adaptation for the future Internet. (Ii) methods of adapting transitions-capable communication systems on the basis of targeted and achieved quality, and (iii) concrete transitions from different views on a communication system.
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