An Efficient Distance Education System Based on VOD Cluster

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Abstract:

Distance education is a field of education that focuses on the pedagogy, technology, and instructional system designs that aim to deliver education to students who are not physically "on site" in a traditional classroom or campus. It has been described as a process to create and provide access to learning when the source of information and the learners are separated by time and distance. This emerging technology is becoming widely used in universities and institutions around the globe. With the recent trend of technological advance, distance learning is becoming more recognized for its potential in providing individualized attention and communication with students internationally.

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Advanced Materials Research (Volumes 143-144)

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452-456

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October 2010

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Cardellini V., Colajanni M., Dynamic load balancing on Web-server systems, IEEE Internet Computing, Volume: 3 Issue: May-June 1999 Page(s): 28 -39.

DOI: 10.1109/4236.769420

Google Scholar

[2] A. Bestavros, M. E. Crovella, J. Liu, D. Martin, Distributed architectures, Proceedings of 6th IEEE International Conference on Network Protocols, 1998. Pages: 290 -297.

Google Scholar

[3] Shuyuan Yang. Min Wang and Licheng Jiao. A Genetic Algorithm based on Quantum Chromosome. ICSP'04, pp.1622-1625.

DOI: 10.1109/icosp.2004.1441642

Google Scholar

[4] K.H. Han K.H. Perk C.H. Lee J.H. Kim. Parallel quantum-inspired genetic algorithm for combinatorial optimization problem[A]. Proceedings of the 2001Congress on Evolutionary Computation[C], USA: IEEE Press.

DOI: 10.1109/cec.2001.934358

Google Scholar

[5] K.H. Han J.H. Moore, Genetic quantum algorithm and its application to combinatorial optimization problem[A]. Proceedings of the 2000 IEEE Congress on Evolutionary Computation[C], USA: IEEE Press, (2000).

DOI: 10.1109/cec.2000.870809

Google Scholar