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On the Suitability of GRID Service Technology for Distributed Measurements Based on Complex Digital Signal Processing Algorithms

机译:基于复杂数字信号处理算法的GRID服务技术对分布式测量的适用性

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Digital signal processing algorithms are nowadays playing an increasingly more important role in most measurement processes. Furthermore, in the presence of poorly digitized data, reliable and repeatable measurement results can often be assured by complementing the adopted procedure with a suitable processing stage. The realization of a “collection” of measurement algorithms to be shared among researchers and technicians who work on similar topics should, thus, be advisable. Complex algorithms, however, suffer from critical drawbacks, in terms of computational burden and hardware resources, when applied to very long acquired records. The authors suggest the adoption of GRID Service as an innovative solution to provide researchers with a “collection” of measurement algorithms and concurrently overcome the cited drawbacks. GRID Service is a new hardware/software approach that is capable of merging the higher computational performance of parallel GRID computing with key mechanisms and standards of Web Service. It would be very possible to migrate complex measurement algorithms into services that are available and accessible on the Internet. As an application example, the authors present a GRID Service mandated to power measurement in digital wireless communication systems.
机译:如今,数字信号处理算法在大多数测量过程中扮演着越来越重要的角色。此外,在数字化数据不良的情况下,通过采用适当的处理阶段来补充所采用的程序,通常可以确保可靠和可重复的测量结果。因此,建议在从事类似主题的研究人员和技术人员之间共享测量算法的“集合”。但是,复杂算法在应用于非常长的获取记录时,在计算负担和硬件资源方面存在严重的缺陷。作者建议采用GRID Service作为一种创新的解决方案,为研究人员提供测量算法的“集合”,并同时克服上述缺点。 GRID Service是一种新的硬件/软件方法,能够将并行GRID计算的更高计算性能与Web Service的关键机制和标准相结合。很有可能将复杂的测量算法迁移到Internet上可用和可访问的服务中。作为一个应用示例,作者提出了GRID服务,该服务被授权用于数字无线通信系统中的功率测量。

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