HDStore: An SSD/HDD Hybrid Distributed Storage Scheme for Large-Scale Data

2014 ◽  
pp. 209-220 ◽  
Author(s):  
Zhijie Feng ◽  
Zhiyong Feng ◽  
Xin Wang ◽  
Guozheng Rao ◽  
Yazhou Wei ◽  
...  
Keyword(s):  
Large Scale ◽  
Distributed Storage ◽  
Large Scale Data ◽  
Storage Scheme ◽  
Scale Data

The Safe City System Based on Hadoop

2014 ◽  
Vol 1049-1050 ◽  
pp. 187-189
Author(s):  
Han Lin Wang ◽  
Yan Li Luo ◽  
Wen Xiao Zong ◽  
Qing Bin Guo
Keyword(s):  
Distributed Computing ◽  
Large Scale ◽  
Distributed Storage ◽  
Data Types ◽  
Access Points ◽  
Large Scale Data ◽  
City System ◽  
Query Efficiency ◽  
Scale Data ◽  
Storage Solution

Safe city system due to the particularity of data types, with the increase of access points, how to efficient organize and store the large multiple types of large-scale data is the hotspot and difficulty in research in recent years. Safe City system based on massive amount of data, a wide variety of features, designed to use distributed storage solution. On the basis of the Hadoop HBase distributed computing architecture, using the Blur services, design and implement safe city system based on Hadoop . Experiments show that the system has good expansibility, storage and query efficiency, can effectively solve the concurrent access to huge amounts of data.

Large-Scale Data Storage Scheme in Blockchain Ledger Using IPFS and NoSQL

2021 ◽  
pp. 91-116
Author(s):  
Randhir Kumar ◽  
Rakesh Tripathi
Keyword(s):  
Data Storage ◽  
Real World ◽  
Large Scale ◽  
Original Data ◽  
Size Reduction ◽  
Storage Model ◽  
Large Scale Data ◽  
Efficient Storage ◽  
Storage Scheme ◽  
Scale Data

The future applications of blockchain are expected to serve millions of users. To provide variety of services to the users, using underlying technology has to consider large-scale storage and assessment behind the scene. Most of the current applications of blockchain are working either on simulators or via small blockchain network. However, the storage issue in the real world is unpredictable. To address the issue of large-scale data storage, the authors have introduced the data storage scheme in blockchain (DSSB). The storage model executes behind the blockchain ledger to store large-scale data. In DSSB, they have used hybrid storage model using IPFS and MongoDB(NoSQL) in order to provide efficient storage for large-scale data in blockchain. In this storage model, they have maintained the content-addressed hash of the transactions on blockchain network to ensure provenance. In DSSB, they are storing the original data (large-scale data) into MongoDB and IPFS. The DSSB model not only provides efficient storage of large-scale data but also provides storage size reduction of blockchain ledger.

ProGen:Provenance database generator for large-scale data set

2009 ◽  
Vol 28 (11) ◽  
pp. 2737-2740
Author(s):  
Xiao ZHANG ◽  
Shan WANG ◽  
Na LIAN
Keyword(s):  
Large Scale ◽  
Data Set ◽  
Large Scale Data ◽  
Scale Data

COMMUNITY-CURATED DATA RESOURCES AND LARGE-SCALE DATA-MODEL SYNTHESES: THE CHILDREN OF COHMAP

2016 ◽  
Author(s):  
John W. Williams ◽  
◽  
Simon Goring ◽  
Eric Grimm ◽  
Jason McLachlan
Keyword(s):  
Data Model ◽  
Large Scale ◽  
Large Scale Data ◽  
Scale Data

scholarly journals Local and global approaches of affinity propagation clustering for large scale data

2008 ◽  
Vol 9 (10) ◽  
pp. 1373-1381 ◽  
Author(s):  
Ding-yin Xia ◽  
Fei Wu ◽  
Xu-qing Zhang ◽  
Yue-ting Zhuang
Keyword(s):  
Large Scale ◽  
Affinity Propagation ◽  
Large Scale Data ◽  
Affinity Propagation Clustering ◽  
Scale Data
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