Resource Type

Journal Article 6

Year

2020 2

2017 1

2016 1

2010 1

2008 1

Keywords

Consistent hashing 1

Data migration 1

Distributed metadata management 1

Hadoop 1

Hierarchical hybrid storage system 1

High performance computing 1

Locality-preserving hashing 1

Metadata 1

NameNode 1

data 1

description 1

documentation 1

enterprise quality 1

experiment 1

foundation 1

metadata 1

primary 1

quality management 1

simulation 1

open ︾

Search scope:

排序： Display mode:

A metadata model for collaborative experiments and simulations in earthquake engineering

Jean-Pierre BARDET, Nazila MOKARRAM, Fang LIU

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 2,   Pages 133-153 doi: 10.1007/s11709-010-0036-z

Abstract: Understanding and exchanging these complicated and voluminous data sets prompted the development of metadataThe present metadata model was designed to document and exchange a large number of large data files inSimpler than its predecessors, the present metadata model applies to all kinds of earthquake engineering

Keywords： metadata     data     documentation     experiment     simulation    

HTML PDF Collect

Research and establishment of enterprise quality metadata standard

SONG Han, LI Jie, ZHANG Genbao

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 1,   Pages 106-110 doi: 10.1007/s11465-008-0019-0

Abstract: A concept of quality metadata is proposed in this paper, which can help quality managers gain a deeperThe procedure of establishing quality metadata standards is emphasized in the paper, and the content

Keywords： enterprise quality     foundation     description     quality management     primary    

HTML PDF Collect

Erratum to: MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning

Zhao-qi Wu, Jin Wei, Fan Zhang, Wei Guo, Guang-wei Xie,17034203@qq.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1412-1412 doi: 10.1631/FITEE.19e0121

Abstract: Unfortunately the corresponding author’s ORCID was incorrect. It should be: Fan ZHANG, https://orcid.org/0000-0001-7456-8377.
HTML PDF Collect

Dr.Hadoop: an infinite scalable metadata management for Hadoop—Howthe baby elephant becomes immortal

Dipayan DEV,Ripon PATGIRI

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 1,   Pages 15-31 doi: 10.1631/FITEE.1500015

Abstract: This is in turn generating a massive amount of metadata in the file system.Subtree partitioning does not uniformly distribute workload among the metadata servers, and metadatathe load among NameNodes, which are the metadata servers of Hadoop.In this paper, we present a circular metadata management mechanism named dynamic circular metadata splittingmetadata for excellent reliability, and dynamically distributes metadata among the NameNodes to keep

Keywords： Hadoop     NameNode     Metadata     Locality-preserving hashing     Consistent hashing    

HTML PDF Collect

MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning Research Articles

Zhao-qi Wu, Jin Wei, Fan Zhang, Wei Guo, Guang-wei Xie,17034203@qq.com

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 963-1118 doi: 10.1631/FITEE.1900121

Abstract: With the growing amount of information and data, s have been widely used in many applications, including the Google File System, Amazon S3, Hadoop Distributed File System, and Ceph, in which load balancing of plays an important role in improving the input/output performance of the entire system. Unbalanced load on the server leads to a serious bottleneck problem for system performance. However, most existing load balancing strategies, which are based on subtree segmentation or hashing, lack good dynamics and adaptability. In this study, we propose a (MDLB) mechanism based on (RL). We learn that the algorithm and our RL-based strategy consist of three modules, i.e., the policy selection network, load balancing network, and parameter update network. Experimental results show that the proposed MDLB algorithm can adjust the load dynamically according to the performance of the servers, and that it has good adaptability in the case of sudden change of data volume.

Keywords： 面向对象的存储系统；元数据；动态负载均衡；强化学习；Q_learning    

HTML PDF Collect

ONFS: a hierarchical hybrid file system based on memory, SSD, andHDDfor high performance computers Article

Xin LIU, Yu-tong LU, Jie YU, Peng-fei WANG, Jie-ting WU, Ying LU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 12,   Pages 1940-1971 doi: 10.1631/FITEE.1700626

Abstract: In this paper, we present the technical details on distributed metadata management, the strategy of memory

Keywords： High performance computing     Hierarchical hybrid storage system     Distributed metadata management     Data    

HTML PDF Collect

Title Author Date Type Operation

A metadata model for collaborative experiments and simulations in earthquake engineering

Jean-Pierre BARDET, Nazila MOKARRAM, Fang LIU

Journal Article

Research and establishment of enterprise quality metadata standard

SONG Han, LI Jie, ZHANG Genbao

Journal Article

Erratum to: MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning

Zhao-qi Wu, Jin Wei, Fan Zhang, Wei Guo, Guang-wei Xie,17034203@qq.com

Journal Article

Dr.Hadoop: an infinite scalable metadata management for Hadoop—Howthe baby elephant becomes immortal

Dipayan DEV,Ripon PATGIRI

Journal Article

MDLB: a metadata dynamic load balancing mechanism based on reinforcement learning

Zhao-qi Wu, Jin Wei, Fan Zhang, Wei Guo, Guang-wei Xie,17034203@qq.com

Journal Article

ONFS: a hierarchical hybrid file system based on memory, SSD, andHDDfor high performance computers

Xin LIU, Yu-tong LU, Jie YU, Peng-fei WANG, Jie-ting WU, Ying LU

Journal Article