In HHH (default) mode, we evaluate RDMA-enhanced MapReduce over RDMA-enhanced HDFS with heterogeneous storage support. We compare our package with default Hadoop MapReduce running over default HDFS with heterogeneous storage. In this mode, as heterogeneous storage, we have used RAM disks, SSDs, and HDDs for data storage. For detailed configuration and setup, please refer to our userguide.
TestDFSIO Latency and Throughput
TestDFSIO Latency
TestDFSIO Throughput
Experimental Testbed: Each node in OSU-RI2 has two fourteen Core Xeon E5-2680v4 processors at 2.4 GHz and 512 GB main memory. The nodes support 16x PCI Express Gen3 interfaces and are equipped with Mellanox ConnectX-4 EDR HCAs with PCI Express Gen3 interfaces. The operating system used is CentOS 7.
These experiments are performed in 8 DataNodes with a total of 64 maps. Each DataNode has a single 2TB HDD, single 400GB PCIe SSD, and 252GB of RAM disk. HDFS block size is kept to 128 MB. Each NodeManager is configured to run with 12 concurrent containers assigning a minimum of 1.5GB memory per container. The NameNode runs in a different node of the Hadoop cluster. 70% of the RAM disk is used for HHH data storage.
The RDMA-IB design improves the job execution time of TestDFSIO by 1.83x - 6.91x compared to IPoIB (100Gbps). For TestDFSIO throughput experiment, RDMA-IB design has an improvement of 1.51x - 2.44x compared to IPoIB (100Gbps).
RandomWriter and Sort
RandomWriter Execution Time
Sort Execution Time
Experimental Testbed: Each node in OSU-RI2 has two fourteen Core Xeon E5-2680v4 processors at 2.4 GHz and 512 GB main memory. The nodes support 16x PCI Express Gen3 interfaces and are equipped with Mellanox ConnectX-4 EDR HCAs with PCI Express Gen3 interfaces. The operating system used is CentOS 7.
These experiments are performed in 8 DataNodes with a total of 64 maps. For Sort, 14 reducers are launched. Each DataNode has a single 2TB HDD, single 400GB PCIe SSD, and 252GB of RAM disk. HDFS block size is kept to 256 MB. Each NodeManager is configured to run with 12 concurrent containers assigning a minimum of 1.5GB memory per container. The NameNode runs in a different node of the Hadoop cluster. 70% of the RAM disk is used for HHH data storage.
The RDMA-IB design improves the job execution time of RandomWriter by 1.64x - 1.88x and Sort by a maximum of 49% compared to IPoIB (100Gbps).
TeraGen and TeraSort
TeraGen Execution Time
TeraSort Execution Time
Experimental Testbed: Each node in OSU-RI2 has two fourteen Core Xeon E5-2680v4 processors at 2.4 GHz and 512 GB main memory. The nodes support 16x PCI Express Gen3 interfaces and are equipped with Mellanox ConnectX-4 EDR HCAs with PCI Express Gen3 interfaces. The operating system used is CentOS 7.
These experiments are performed in 8 DataNodes with a total of 64 maps and 32 reduces. Each DataNode has a single 2TB HDD, single 400GB PCIe SSD, and 252GB of RAM disk. HDFS block size is kept to 256 MB. Each NodeManager is configured to run with 12 concurrent containers assigning a minimum of 1.5GB memory per container. The NameNode runs in a different node of the Hadoop cluster. 70% of the RAM disk is used for HHH data storage.
The RDMA-IB design improves the job execution time of TeraGen by a maximum of 5.76x and of TeraSort by a maximum of 15% compared to IPoIB (100Gbps).
