Green and Distributed Architecture for Managing Big Data of Biodiversity

2014 ◽  
pp. 21-39
Author(s):  
Idrissa Sarr ◽  
Hubert Naacke ◽  
Ndiouma Bame ◽  
Ibrahima Gueye ◽  
Samba Ndiaye
Keyword(s):  
Big Data ◽  
Distributed Architecture

scholarly journals An Implementation of Map Reduce on the Hadoop for Analyzing Big Data

2019 ◽  
Vol 8 (4S2) ◽  
pp. 712-716
Keyword(s):  
Big Data ◽  
Performance Analysis ◽  
Large Volume ◽  
High Performance ◽  
Scientific Data ◽  
Digital Data ◽  
Map Reduce ◽  
Distributed Architecture ◽  
Correct Information ◽  
Efficient Processing

The Speedy development of Internet has led to huge quantities of digital data available online and vast capacity of digital data is increasing and successfully stored. In demand to the process, analyzed, and linked huge volume of stored data to achieve correct Information, some computation is required. Even efficient processing and implementation is needed for scientific data performance analysis. We will compare with already existing MapReduce Technique with Hadoop to afford high performance and efficiency for large volume of dataset. Hadoop distributed architecture with MapReduce programming is analysis here.

Study on CDIO Talents Training System Based on the Internet of Things and Cloud Computing in Big Data Era

2014 ◽  
Vol 989-994 ◽  
pp. 4949-4952
Author(s):  
Hui Yan ◽  
Hai Yan Hu
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Resource Scheduling ◽  
Training System ◽  
The Internet ◽  
Data Service ◽  
Distributed Architecture ◽  
Advanced Technologies ◽  
The Internet Of Things

Since CDIO talents training informatization system is employed in Big Data era, this paper shows some studies on the application of the internet of things , cloud computing, Big Data service and other advanced technologies in CDIO talents training informatization system, an informatization framework for the internet of things and cloud computing is constructed based on CDIO talents training, in order to solve the difficulties in managing and monitoring the fully distributed architecture, a distributed resource scheduling mechanism with QoS is proposed.

Find Out About 'Big Data' to Track Outcomes

ASHA Leader ◽  
2013 ◽  
Vol 18 (2) ◽  
pp. 59-59
Keyword(s):  
Big Data

Find Out About 'Big Data' to Track Outcomes

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