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