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Real-time lossless data compression techniques for long-pulse operation

机译:用于长脉冲操作的实时无损数据压缩技术

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Data logging and data distribution will be two main tasks connected with data handling in ITER. Data logging refers to the recovery and ultimate storage of all data, independent of the data source. Data distribution is related, on the one hand, to the on-line data broadcasting for immediate data availability and, on the other hand, to the off-line data access. Due to the large data volume expected, data compression is a useful candidate to prevent the waste of resources in communication and storage systems. On-line data distribution in a long-pulse environment requires the use of a deterministic approach to be able to ensure a proper response time for data availability. However, an essential feature for all the above purposes is to apply lossless compression techniques. This article reviews different lossless data compression techniques based on delta compression. In addition, the concept of cyclic delta transformation is introduced. Furthermore, comparative results concerning compression rates on different databases (TJ-II and JET) and computation times for compression/decompression are shown. Finally, the validity and implementation of these techniques for long-pulse operation and real-time requirements is also discussed.
机译:数据记录和数据分发将是与ITER中的数据处理相关的两个主要任务。数据记录是指所有数据的恢复和最终存储,与数据源无关。数据分发一方面与在线数据广播有关,以立即获得数据可用性,另一方面与离线数据访问有关。由于预期的大数据量,数据压缩是防止通信和存储系统中资源浪费的有用选择。在长脉冲环境中进行在线数据分发需要使用确定性方法,以确保为数据可用性提供适当的响应时间。但是,用于所有上述目的的基本特征是应用无损压缩技术。本文介绍了基于增量压缩的不同无损数据压缩技术。另外,介绍了循环增量变换的概念。此外,还显示了有关不同数据库(TJ-II和JET)上的压缩率以及压缩/解压缩计算时间的比较结果。最后,还讨论了这些技术对于长脉冲操作和实时要求的有效性和实现。

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