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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
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Secure Hadoop with Encrypted HDFS
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.
Seonyoung Park, Youngseok Lee 0002
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Towards a scalable HDFS architecture
2013 International Conference on Collaboration Technologies and Systems (CTS), 2013Cloud computing infrastructures allow corporations to reduce costs by outsourcing computations on-demand. One of the areas cloud computing is increasingly being utilized for is large scale data processing. Apache Hadoop is one of these large scale data processing projects that supports data-intensive distributed applications.
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Star Formation in the Nicmos HDF
Astrophysics and Space Science, 1999This contribution discusses the rate of star formation in the galaxies observed in the NICMOS Hubble Deep Field. A combination of the earlier fluxes from the WFPC II HDF measurements and the NICMOS near infrared measurement produces a superb data base for the application of photometric redshift techniques.
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Research and improvement of HDFS
2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP), 2014Recently, cloud computing is increasingly becoming the focus of attention at home and abroad. When the big data storage is become the core of cloud computing system, cloud computing system would evolve into a cloud storage system. With rapidly development of cloud computing, cloud storage has become one of most popular research field.
Xiaolong Tang +3 more
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2016
Apache Hadoop is a distributed framework for storing and processing large quantities of data. Going over each of the terms in the previous statement, "distributed" implies that Hadoop is distributed across several (tens, hundreds, or even thousands) of nodes in a cluster.
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Apache Hadoop is a distributed framework for storing and processing large quantities of data. Going over each of the terms in the previous statement, "distributed" implies that Hadoop is distributed across several (tens, hundreds, or even thousands) of nodes in a cluster.
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Experimental cell research, 1983
HeLa cells in S phase induce DNA synthesis in cycling cells, serum-deprived quiescent cells, and non-replicative senescent cells following cell fusion. In contrast normal human diploid fibroblasts (HDF) do not induce DNA synthesis in either quiescent cells or senescent cells.
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HeLa cells in S phase induce DNA synthesis in cycling cells, serum-deprived quiescent cells, and non-replicative senescent cells following cell fusion. In contrast normal human diploid fibroblasts (HDF) do not induce DNA synthesis in either quiescent cells or senescent cells.
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