A DISTRIBUTED COMPUTING PLATFORM FOR FMRI BIG DATA ANALYTICS

2020 ◽  
Vol 14 (6) ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. 109-119 ◽  
Author(s):  
Milad Makkie ◽  
Xiang Li ◽  
Shannon Quinn ◽  
Binbin Lin ◽  
Jieping Ye ◽  
...  

2014 ◽  
Vol 484-485 ◽  
pp. 922-926
Author(s):  
Xiang Ju Liu

This paper introduces the operational characteristics of the era of big data and the current era of big data challenges, and exhaustive research and design of big data analytics platform based on cloud computing, including big data analytics platform architecture system, big data analytics platform software architecture , big data analytics platform network architecture big data analysis platform unified program features and so on. The paper also analyzes the cloud computing platform for big data analysis program unified competitive advantage and development of business telecom operators play a certain role in the future.


Author(s):  
Julio César Santos dos Anjos ◽  
Cláudio Fernando Resin Geyer ◽  
Jorge Luis Victória Barbosa

Author(s):  
Vinoth Kumar Jambulingam ◽  
V. Santhi

The era of big data has come with the ability to process massive datasets from heterogeneous sources in real-time. But the conventional analytics can't be able to manage such a large amount of varied data. The main issue that is being asked is how to design a high-performance computing platform to effectively carry out analytics on big data and how to develop a right mining scheme to get useful insights from voluminous big data. Hence this chapter elaborates these challenges with a brief introduction on traditional data analytics followed by mining algorithms that are suitable for emerging big data analytics. Subsequently, other issues and future scope are also presented to enhance capabilities of big data.


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