Title :
High performance RDMA-based design of HDFS over InfiniBand
Author :
Islam, Nusrat Sharmin ; Rahman, Mohammad Wahidur ; Jose, Jithin ; Rajachandrasekar, Raghunath ; Wang, Huifang ; Subramoni, Hari ; Murthy, Cherukuri ; Panda, Dhabaleswar K.
Author_Institution :
Dept. of Comput. Sci. & Eng., Ohio State Univ., Columbus, OH, USA
Abstract :
Hadoop Distributed File System (HDFS) acts as the primary storage of Hadoop and has been adopted by reputed organizations (Facebook, Yahoo! etc.) due to its portability and fault-tolerance. The existing implementation of HDFS uses Javasocket interface for communication which delivers suboptimal performance in terms of latency and throughput. For dataintensive applications, network performance becomes key component as the amount of data being stored and replicated to HDFS increases. In this paper, we present a novel design of HDFS using Remote Direct Memory Access (RDMA) over InfiniBand via JNI interfaces. Experimental results show that, for 5GB HDFS file writes, the new design reduces the communication time by 87% and 30% over 1Gigabit Ethernet (1GigE) and IP-over-InfiniBand (IPoIB), respectively, on QDR platform (32Gbps). For HBase, the Put operation performance is improved by 26% with our design. To the best of our knowledge, this is the first design of HDFS over InfiniBand networks.
Keywords :
IP networks; computer network performance evaluation; distributed databases; fault tolerant computing; local area networks; public domain software; telecommunication switching; 1Gigabit Ethernet; Facebook; HBase; HDFS; Hadoop distributed file system; IP-over-InfiniBand; IPoIB; JNI interfaces; Javasocket interface; Put operation performance improvement; QDR platform; Yahoo!; bit rate 32 Gbit/s; communication reduction; data intensive applications; fault-tolerance; high performance RDMA-based design; latency; network performance; remote direct memory access; throughput; IP networks; Java; Libraries; Servers; Sockets; Software; Switches;
Conference_Titel :
High Performance Computing, Networking, Storage and Analysis (SC), 2012 International Conference for
Conference_Location :
Salt Lake City, UT
Print_ISBN :
978-1-4673-0805-2