DocumentCode :
719124
Title :
Big data processing tuning in the cloud
Author :
Sabharwal, Satwik ; Malhotra, Nishchay ; Singh, Ajay Shanker
Author_Institution :
Galgotias Univ., Greater Noida, India
fYear :
2015
fDate :
15-16 May 2015
Firstpage :
699
Lastpage :
703
Abstract :
Network Management is basically the administration and management of Big Data. The paper tells about the Big Data, the various characteristics of Big Data and the different approaches adopted for their network management. The advantages and disadvantages of open source software product, Hadoop which helps in distributed storage and distributed processing of large amount of data has been discussed here. This paper also gives description about FlowComb. FlowComb is a network management framework that helps processing of Big Data applications, such as Hadoop to achieve high utilization and low data processing times.
Keywords :
Big Data; cloud computing; distributed memory systems; parallel processing; public domain software; Big data processing; FlowComb; Hadoop; cloud; distributed processing; distributed storage; network management framework; open source software product; Automation; Big data; Data models; Distributed databases; Google; Streaming media; Allocaton; Big data; FlowComb; Hadoop;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computing, Communication & Automation (ICCCA), 2015 International Conference on
Conference_Location :
Noida
Print_ISBN :
978-1-4799-8889-1
Type :
conf
DOI :
10.1109/CCAA.2015.7148465
Filename :
7148465
Link To Document :
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