Cloud Computing for Big Data Analysis

Author(s):  
Fabrizio Marozzo ◽  
Loris Belcastro
Author(s):  
Yantao Xie ◽  
Li Guangyi ◽  
Sun Yiliang ◽  
Zhang Zhang ◽  
Peng Chan ◽  
...  

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.


IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 6171-6180 ◽  
Author(s):  
Lo'ai A. Tawalbeh ◽  
Rashid Mehmood ◽  
Elhadj Benkhlifa ◽  
Houbing Song

This chapter aims at exploring the intersection of cloud computing with big data. The big data analysis, mining, and privacy concerns are discussed. First, this chapter deals with the software framework, MapReduce™ that is commonly used for performing Big Data Analysis in the clouds. In addition, some of the most used techniques for performing Big Data Mining are detailed. For instance, Clustering, Co-Clustering, and Association Rules are described in detail. In particular, the k-center problem is described while with reference to the association rules beyond the basic definitions, the Apriori Algorithm is outlined and illustrated by some numerical examples. These techniques are also described with reference to their versions based on MapReduce. Finally, the description of some real applications conclude the chapter.


Sign in / Sign up

Export Citation Format

Share Document