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Learning Framework with Load Balancing and Fault Tolerance using Cache-based Architecture

K. Zafar, Q. S. Haq, S. Zafar, J. Kansi, Z. Halim, A. Khan Published in

International Journal of Applied Information Systems
Year of Publication 2012
© 2010 by IJAIS Journal
10.5120/ijais12-450258
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  1. K Zafar, Q S Haq, S Zafar, J Kansi, Z Halim and A Khan. Article: Learning Framework with Load Balancing and Fault Tolerance using Cache-based Architecture. International Journal of Applied Information Systems 2(1):34-38, May 2012. BibTeX

    @article{key:article,
    	author = "K. Zafar and Q. S. Haq and S. Zafar and J. Kansi and Z. Halim and A. Khan",
    	title = "Article: Learning Framework with Load Balancing and Fault Tolerance using Cache-based Architecture",
    	journal = "International Journal of Applied Information Systems",
    	year = 2012,
    	volume = 2,
    	number = 1,
    	pages = "34-38",
    	month = "May",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Most of the universities around the world are offering online distance learning programs. A framework is required that can handle huge amount of network traffic at the servers and also cater for the autonomous, robust, intelligent load balancing and fault tolerance. In order to handle large number1 of transactions at the server, high performance server architecture is required. The proposed framework is tested using a virtual online university that can handle huge amount of user requests. With the availability of high bandwidth and low cost hardware, the optimum performance can be achieved easily. The frame work is tested under heavy network traffic and proved to robust, scalable and reliable approach.

Reference

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Keywords

Distance Learning, Cache, Fault Tolerance