Title :
CDM Server: A Data Management Framework for Data Intensive Application in Internal Private Cloud Infrastructure
Author :
Somasundaram, Thamarai Selvi ; Govindarajan, Kannan ; Venkateswaran, Viswanathan ; Radhika, R. ; Venkatesh, V.
Abstract :
The idea of cloud computing has been evolving over the years, towards the direction that best suits the perpetual needs of organizations. The majority of organizations have started to house their own Internal private cloud, rather than relying on third party private clouds for wide range of reasons. Development of an internal private cloud has to overcome a wide range of challenges to match the performance of public cloud solutions. The major challenge is the development of a framework for efficient data management for processing the Big Data for data intensive applications in this private cloud infrastructure. We have proposed a data management framework called CDM server which handles these data management challenges effectively. The CDM server provides a platform with the key requirements of cloud, namely increased scalability, Big Data handling, maximizing cluster utilization and performing capital scheduling of data intensive jobs.
Keywords :
cloud computing; data handling; data privacy; organisational aspects; resource allocation; CDM server; big data processing; capital scheduling; cloud computing; cluster utilization maximization; data intensive application; data management framework; internal private cloud infrastructure; organization needs; public cloud; scalability enhancement; Cloud computing; Next generation networking; Optimal scheduling; Organizations; Scalability; Scheduling; Servers; Big Data; Data intensive application; Data management; Internal private cloud;
Conference_Titel :
P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2012 Seventh International Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
978-1-4673-2991-0
DOI :
10.1109/3PGCIC.2012.17