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High performance design for HDFS with byte-addressability of NVM and RDMA
Non-Volatile Memory (NVM) offers byte-addressability with DRAM like performance along
with persistence. Thus, NVMs provide the opportunity to build high-throughput storage …
with persistence. Thus, NVMs provide the opportunity to build high-throughput storage …
A survey on data-driven performance tuning for big data analytics platforms
Many research works deal with big data platforms looking forward to data science and
analytics. These are complex and usually distributed environments, composed of several …
analytics. These are complex and usually distributed environments, composed of several …
On efficient hierarchical storage for big data processing
A promising trend in storage management for big data frameworks, such as Hadoop and
Spark, is the emergence of heterogeneous and hybrid storage systems that employ different …
Spark, is the emergence of heterogeneous and hybrid storage systems that employ different …
Storage-tag-aware scheduler for hadoop cluster
Big data analytics has simplified the processing complexity of extremely large data sets
through ecosystems, such as Hadoop, MapR, and Cloudera. Apache Hadoop is an open …
through ecosystems, such as Hadoop, MapR, and Cloudera. Apache Hadoop is an open …
The research and analysis of efficiency of hardware usage base on HDFS
Abstract HDFS (Hadoop Distributed File System), as a part of data stored in the Hadoop
ecosystem, provides read and write interfaces for many upper-level applications. The …
ecosystem, provides read and write interfaces for many upper-level applications. The …
Hadoop MapReduce performance on SSDs for analyzing social networks
Abstract The advent of Solid State Drives (SSDs) stimulated a lot of research to investigate
and exploit to the extent possible the potentials of the new drive. The focus of this work is on …
and exploit to the extent possible the potentials of the new drive. The focus of this work is on …
Early experience with optimizing I/O performance using high-performance SSDs for in-memory cluster computing
This paper describes our experience with storage optimization that utilizes cost-effective
PCIe solid-state drives (SSDs) to improve the overall performance of a Spark framework. A …
PCIe solid-state drives (SSDs) to improve the overall performance of a Spark framework. A …
Selective I/O bypass and load balancing method for write-through SSD caching in big data analytics
Fast network quality analysis in the telecom industry is an important method used to provide
quality service. SK Telecom, based in South Korea, built a Hadoop-based analytical system …
quality service. SK Telecom, based in South Korea, built a Hadoop-based analytical system …
Performance tuning analysis of spatial operations on Spatial Hadoop cluster with SSD
Abstract Solid State Drives have shown promising results in improving the performance of
MapReduce jobs. Previous work in the usage of SSD consisted of evaluation of its …
MapReduce jobs. Previous work in the usage of SSD consisted of evaluation of its …
ConeSSD: a novel policy to optimize the performance of HDFS heterogeneous storage
X Zhang, L Wang, Z Huang, H **e… - 2022 IEEE 24th Int …, 2022 - ieeexplore.ieee.org
HDFS (Hadoop distributed file system) is the core storage service of Hadoop, which stores
and processes large datasets efficiently. Therefore, the performance of storage services …
and processes large datasets efficiently. Therefore, the performance of storage services …