CASTOR: A Distributed Storage Resource Facility for High Performance Data Processing at CERN

2007 ◽  
Author(s):  
Giuseppe Lo Presti ◽  
Olof Barring ◽  
Alasdair Earl ◽  
Rosa Maria Garcia Rioja ◽  
Sebastien Ponce ◽  
...  
Keyword(s):  
Data Processing ◽  
High Performance ◽  
Distributed Storage ◽  
Performance Data ◽  
Storage Resource

scholarly journals Hybrid Containerized Computing Technology for High-Performance Data Processing in Cluster Systems

2019 ◽  
pp. 39-44
Author(s):  
Mikhail Rovnyagin ◽  
◽  
Iliya Chugunkov ◽  
Natalya Savchenko ◽  
◽  
...  
Keyword(s):  
Data Processing ◽  
High Performance ◽  
Performance Data ◽  
Computing Technology ◽  
Cluster Systems

scholarly journals Towards on-the-fly Cryo-Electron Microscopy Data Processing by High Performance Data Analysis

2018 ◽  
Vol 955 ◽  
pp. 012005 ◽  
Author(s):  
Evgeny Pichkur ◽  
Timur Baimukhametov ◽  
Anton Teslyuk ◽  
Anton Orekhov ◽  
Roman Kamyshinsky ◽  
...  
Keyword(s):  
Electron Microscopy ◽  
Data Analysis ◽  
Data Processing ◽  
High Performance ◽  
Performance Data ◽  
Cryo Electron Microscopy ◽  
Electron Microscopy Data ◽  
Microscopy Data

scholarly journals Rack-Scale Storage Fabric: A Practical Way to Build Best-Fit Infrastructure for High-Performance Data Processing

2016 ◽  
Vol 76 ◽  
pp. 04040 ◽  
Author(s):  
Ruiquan Ding ◽  
Xiao Hu ◽  
Guofeng Chen ◽  
Zhiwen Xiao ◽  
Jiajun Zhang ◽  
...  
Keyword(s):  
Data Processing ◽  
High Performance ◽  
Performance Data ◽  
Best Fit

Flex: A Flexible Block-Level Distributed Storage System

2014 ◽  
Vol 513-517 ◽  
pp. 1046-1051
Author(s):  
Yong Chuan Li ◽  
Yu Xing Peng ◽  
Hui Ba Li
Keyword(s):  
High Performance ◽  
Distributed Storage ◽  
Rapid Development ◽  
Storage System ◽  
Distributed Storage System ◽  
Block Level ◽  
Storage Resource ◽  
Distributed Storage Systems ◽  
Performance Results ◽  
Storage Structures

With the rapid development of cloud computing, there are many storage structures have been proposed for satisfying cloud-based softwares requirements. Most existing distributed storage systems focus on a certain objective and only provide a certain storage structure. In this paper we present a novel block-level distributed storage system named Flex which integrates storage resource dispersed on the network into a whole one. Flex uses a device mapping framework to create dynamic and flexible storage structures for users. We have implemented the prototype and evaluated its performance; results show that Flex can provide a high performance in diverse storage structures.

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