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Anti-Aging Efficacy of Low-Molecular-Weight Polydeoxyribonucleotide Derived from <i>Paeonia lactiflora</i>. [PDF]
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HDFS+: Concurrent Writes Improvements for HDFS
2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, 2013HDFS is a popular distributed file system which provides high scalability and throughput. It lacks built-in support for multi-source data generating, which arise naturally in many applications including log mining, data analysis etc. There needs a data collection step before analysis in basic HDFS environment because of many data are in local disk ...
Dong Dai
exaly +2 more sources
Secure Hadoop with Encrypted HDFS
Lecture Notes in Computer Science, 2013As Hadoop becomes a popular distributed programming framework for processing large data on its distributed file system (HDFS), demands for secure computing and file storage grow quickly. However, the current Hadoop does not support encryption of storing HDFS blocks, which is a fundamental solution for secure Hadoop.
Youngseok Lee, Lee Youngseok
exaly +2 more sources
2010
Commercial dialyzers were investigated both in vivo and in vitro for a better selection of dialyzers for hemodiafiltration (HDF) therapy. In in vivo online HDF, since a reduction rate of α(1)-microglobulin (α(1)-MG) was determined by the amount of albumin loss regardless of blood flow rate (Q(B)), ultrafiltration rate (Q(F)), and the performance of ...
Akihiro C, Yamashita, Kenji, Sakurai
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Commercial dialyzers were investigated both in vivo and in vitro for a better selection of dialyzers for hemodiafiltration (HDF) therapy. In in vivo online HDF, since a reduction rate of α(1)-microglobulin (α(1)-MG) was determined by the amount of albumin loss regardless of blood flow rate (Q(B)), ultrafiltration rate (Q(F)), and the performance of ...
Akihiro C, Yamashita, Kenji, Sakurai
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Proceedings of the 23rd international symposium on High-performance parallel and distributed computing, 2014
In this paper, we propose SOR-HDFS, a SEDA (Staged Event-Driven Architecture)-based approach to improve the performance of HDFS Write operation. This design not only incorporates RDMA-based communication over InfiniBand but also maximizes overlapping among different stages of data transfer and I/O.
Nusrat S. Islam +3 more
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In this paper, we propose SOR-HDFS, a SEDA (Staged Event-Driven Architecture)-based approach to improve the performance of HDFS Write operation. This design not only incorporates RDMA-based communication over InfiniBand but also maximizes overlapping among different stages of data transfer and I/O.
Nusrat S. Islam +3 more
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A Novel Data Encryption in HDFS
2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, 2013Hadoop distributed file system (HDFS) is an open source software which can be used to build cloud storage system. However, HDFS does not provide any scheme to encrypt user's data. Hence, user needs to encrypt his data locally before transferring to HDFS if he requires high privacy. This paper proposes a novel method to encrypt file while being uploaded.
Thanh Cuong Nguyen +3 more
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HDF/HDF-EOS data access, visualization and processing tools at the GES DAAC
IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004To help users of remote sensing data, the NASA Goddard Earth Sciences Distributed Active Archive Center (GES DAAC) has developed a series of desktop and on-line tools. These are presented in this article. Various HDF readers for AIRS and MODIS data have been written in IDL, C and Fortran.
Gregory Leptoukh +12 more
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2020 IEEE International Conference on Cloud Computing in Emerging Markets (CCEM), 2020
The rapidly increasing growth of big data is leading to increased usage of distributed computing and clusters as this can enable tasks to be split and processed in parallel resulting in higher computational efficiency. Environments like Apache Hadoop use Distributed file systems like the HDFS to support large clusters of typically commodity hardware to
Abhishek Das +3 more
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The rapidly increasing growth of big data is leading to increased usage of distributed computing and clusters as this can enable tasks to be split and processed in parallel resulting in higher computational efficiency. Environments like Apache Hadoop use Distributed file systems like the HDFS to support large clusters of typically commodity hardware to
Abhishek Das +3 more
openaire +1 more source