NEMO: A network monitoring framework for high-performance computing

E. P. Calle
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Abstract

The volume of data generated by the Large Hadron Collider (LHC), several PetaBytes (PB) per year, requires a distributed tier-organised structure of computing resources for mass storage and analysis. The complexity and diversity of the components of this structure (hardware, software and networks) require a control mechanism to guarantee high-throughput high-reliability computing services. NEMO is a monitoring framework that has been developed in one of the computing clusters that receive data from LHC and has been designed to measure and publish the state of a cluster resources, maximize performance and efficiency and guarantee the integrity of the cluster.
NEMO:用于高性能计算的网络监控框架
大型强子对撞机(LHC)每年产生的数据量达数PB,需要分布式分层组织的计算资源结构来进行大规模存储和分析。这种结构的组成部分(硬件、软件和网络)的复杂性和多样性需要一种控制机制来保证高吞吐量和高可靠性的计算服务。NEMO是在一个接收LHC数据的计算集群中开发的监控框架,旨在测量和发布集群资源的状态,最大限度地提高性能和效率,并保证集群的完整性。
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