Challenges of Cloud Computing & Big Data Analytics

被引:0
作者
Gupta, Anita [1 ]
Mehrotra, Abhay [2 ]
Khan, P. M. [3 ]
机构
[1] Integral Univ, Dept CSE, Lucknow, Uttar Pradesh, India
[2] Concentrix, IT Applicat Enterprise Grp, Gurgaon, India
[3] AMU, Ctr Comp, Aligarh, Uttar Pradesh, India
来源
2015 2ND INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT (INDIACOM) | 2015年
关键词
Big Data; Hadoop; HDFS; Honey Pot Nodes; Map Reduce; Cloud Computing; AaaS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Now-a-days for most of the organizations across the globe, two important IT initiatives are: Big Data Analytics and Cloud Computing. Big Data Analytics can provide valuables insight that can create competitiveness and generate increased revenues. Cloud Computing can enhance productivity and efficiencies thus reducing cost. Cloud Computing offers groups of servers, storages and various networking resources. It enables environment of Big Data to processes voluminous, high velocity and varied formats of Big Data.
引用
收藏
页码:1112 / 1115
页数:4
相关论文
共 14 条
[1]  
Amanatullah Y, 2013, CLOUD COMPUTING REFE, P1
[2]  
Anisha P. R, 2012, 3 PARTY DATA PROTECT, P39
[3]  
Chen Hu, 2011, Proceedings of the CSU-EPSA, V23, P21
[4]  
Chitharanjan K, 2013, REV HADOOP HDFS INFR, P132
[5]  
Gonzalez N., 2011, QUANTITATIVE ANAL CU, P231
[6]  
Intel IT Center, 2012, PEER RES BIG DAT AN, p1263
[7]  
Katal A, 2013, INT CONF CONTEMP, P404, DOI 10.1109/IC3.2013.6612229
[8]  
Kilzer Ann, AIRAVAT SECURITY PRI
[9]   Hadoop Applications in Bioinformatics [J].
Li Xu-bin ;
Jiang Wen-rui ;
Jiang Yi ;
Zou Quan .
PROCEEDINGS OF THE 2012 SEVENTH OPEN CIRRUS SUMMIT (OCS 2012), 2012, :48-52
[10]  
Lu Huang, 2012, RES HADOOP CLOUD COM, p[59, 21]