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Software Architecture for Processing Clusters Based on I_2O

机译:基于I_2O的集群处理软件体系结构

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Mainstream computing equipment and the advent of affordable multi-Gigabit communication technology permit us to address data acquisition and processing problems with clusters of COTS machinery. Such networks typically contain heterogeneous platforms, real-time partitions and even custom devices. Vital overall system requirements are high efficiency and flexibility. In preceding projects we experienced the difficulties to meet both requirements at once. Intelligent I/O (I_2O) is an industry specification that defines a uniform messaging format and execution environment for hardware and operating system independent device drivers in systems with processor based communication equipment. Mapping this concept to a distributed computing environment and encapsulating the details of the specification into an application-programming framework allow us to provide architectural support for (i) efficient and (ii) extensible cluster operation. This paper portrays our view of applying I_2O to high-performance clusters. We demonstrate the feasibility of this approach and report on the efficiency of our XDAQ software framework for distributed data acquisition systems.
机译:主流计算设备和可负担的多千兆位通信技术的出现使我们能够利用COTS机械集群解决数据采集和处理问题。这样的网络通常包含异构平台,实时分区甚至是自定义设备。重要的整体系统要求是高效率和灵活性。在之前的项目中,我们遇到了难以同时满足两个要求的困难。智能I / O(I_2O)是一项行业规范,为具有基于处理器的通信设备的系统中的硬件和操作系统独立的设备驱动程序定义了统一的消息格式和执行环境。将这个概念映射到分布式计算环境并将规范的细节封装到应用程序编程框架中,使我们能够为(i)高效和(ii)集群操作提供架构支持。本文描述了我们将I_2O应用到高性能集群的观点。我们演示了这种方法的可行性,并报告了用于分布式数据采集系统的XDAQ软件框架的效率。

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