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Performance evaluation of HDD and SSD on 10GigE, IPoIB RDMA-IB with Hadoop Cluster Performance Benchmarking System

机译:使用Hadoop集群性能基准测试系统对10GigE,IPoIB和RDMA-IB上的HDD和SSD进行性能评估

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摘要

Hadoop and Map reduce today are facing huge amounts of data and are moving towards ubiquitous for big data storage and processing. Benchmarking tools available are not capable of analyzing performance of the Hadoop cluster system and are made to either run in a single node system. HiBench is an essential part of Hadoop. It is a comprehensive benchmark suit that consists of a complete deposit of Hadoop applications having micro bench marks & real time applications for benchmarking the performance of Hadoop on the available type of storage device (i.e. HDD and SSD) and machine configuration. This is helpful to optimize the performance and improve the support towards the limitations of Hadoop system. In this paper we will present the Performance evaluation of HDD and SSD with 10GigE, IPoIB & RDMA-IB on Hadoop Cluster Performance Benchmarking System. In addition, we will also demonstrate that the traditional servers and old Cloud systems can be upgraded by software and hardware up gradations to perform at par with the modern technologies to handle these loads, without spending ruthlessly on up gradations or complete changes in the system with the use of Modern storage devices and interconnect networking systems.
机译:如今,Hadoop和Map Reduce面临着海量数据,并正在向无处不在的大数据存储和处理迈进。可用的基准测试工具无法分析Hadoop集群系统的性能,只能在单节点系统中运行。 HiBench是Hadoop的重要组成部分。这是一套全面的基准测试套件,由完整的具有微型基准标记的Hadoop应用程序和实时应用程序组成,用于在可用的存储设备类型(即HDD和SSD)和机器配置上基准测试Hadoop的性能。这有助于优化性能并改善对Hadoop系统局限性的支持。在本文中,我们将介绍10GigE,IPoIB和RDMA-IB在Hadoop集群性能基准测试系统上对HDD和SSD的性能评估。此外,我们还将证明,可以通过软件和硬件升级来升级传统服务器和旧的云系统,以与现代技术相媲美来处理这些负载,而无需花费大量精力进行升级或完全更改系统。使用现代存储设备和互连网络系统。

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