DocumentCode :
3528948
Title :
A Cloud Based Architecture for Optimal Utilization of Resources in Educational Institutions
Author :
Samineni, Anvesh ; Vankayalapati, Manasa ; Mohan, S. Murali ; Murari, Bhaskar Mohan
Author_Institution :
VIT Univ., Vellore, India
fYear :
2013
fDate :
21-23 Dec. 2013
Firstpage :
569
Lastpage :
573
Abstract :
Technology has been transforming the education in 21st century to a great extent. The increase in use of technology in educational institutions including schools, colleges, and universities is enabling students to become 21st century learners and fostering the process of research and innovation. A huge amount computing resources are required in educational institutions to meet these demands. However, in most of the cases, the computing resources in an organization are not being completely utilized due to various reasons. Adopting some of the latest technologies can improve resource utilization and simultaneously provide other benefits. In recent years, cloud computing has been an emerging technology playing a great role in technology deployment scenarios, making technology more efficient and convenient to use. In this paper, we propose a cloud based architecture that enables maximum utilization of resources and improves the accessibility of information to students, thereby enhancing the learning experience. An architecture based on hybrid cloud model can be a perfect fit, with lot of benefits. The proposed architecture is explained with its benefits, and the security issues, implementation scenarios are discussed.
Keywords :
cloud computing; computer aided instruction; resource allocation; security of data; cloud based architecture; colleges; computing resources; educational institutions; hybrid cloud model; information accessibility; learning experience; resource utilization; schools; security issues; technology deployment scenario; technology use; universities; Cloud computing; Computational modeling; Computer architecture; Educational institutions; Organizations; Security; Servers; Cloud Architecture; Cloud Models; Educational Institutions; Hybrid Cloud;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Intelligence and Research Advancement (ICMIRA), 2013 International Conference on
Conference_Location :
Katra
Type :
conf
DOI :
10.1109/ICMIRA.2013.119
Filename :
6918896
Link To Document :
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