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Number 1

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

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  • K. Zafar and Q. S. Haq and S. Zafar and J. Kansi and Z. Halim and A. Khan 2012. Learning Framework with Load Balancing and Fault Tolerance using Cache-based Architecture. International Journal of Applied Information Systems. 2, 1 (May 2012), 34-38. DOI=http://dx.doi.org/10.5120/ijais450258 
  • @article{10.5120/ijais2017451568,
author = {K. Zafar and Q. S. Haq and S. Zafar and J. Kansi and Z. Halim and A. Khan},
title = {Learning Framework with Load Balancing and Fault Tolerance using Cache-based Architecture},
journal = {International Journal of Applied Information Systems},
issue_date = {May 2012},
volume = {2},
number = {},
month = {May},
year = {2012},
issn = {},
pages = {34-38},
numpages = {},
url = {/archives/volume2/number1/128-0258},
doi = { 10.5120/ijais12-450258},
publisher = { xA9 2010 by IJAIS Journal},
address = {}
}

  • %1 450258
%A K.  Zafar
%A Q.  S.  Haq
%A S.  Zafar
%A J.  Kansi
%A Z.  Halim
%A A.  Khan
%T Learning Framework with Load Balancing and Fault Tolerance using Cache-based Architecture
%J International Journal of Applied Information Systems
%@ 
%V 2
%N 
%P 34-38
%D 2012
%I  xA9 2010 by IJAIS Journal

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.

References

  1. M. Yu, P. S. Cardellini, V. D. Sistemistica. 1998. Dynamic load balancing in geographically distributed heterogeneous Web servers. In proceedings of 18th International Conference on Distributed Computing Systems, p. 295–302.
  2. Cardellini, V. Colajanni, M. Yu. 1999. Dynamic load balancing on web-server systems. In Proceedings of IEEE International Conference on Internet Computing.
  3. Dias, D. M. Kish, W. Wukherjee, R. Tewari. 1996. A scalable and highly available web server. In Proceedings of International Conference on Technologies for the Information Superhighway, Compcon.
  4. D. Skeen. 1982. A Quorum-Based Commit Protocol. In Proceedings of the workshop on Distributed Data Management and Computer Network, p. 69 - 80.
  5. R. Thomas. 1999. A Majority Consensus Approach to Concurrency Control for Multiple Copy Databases. In ACM Transactions on Database Systems.
  6. M. Harchol-Balter, B. Schroeder, N. Bansal, M. Agrawal. 2001. Size-based scheduling to improve web performance. ACM, New York, NY, USA.
  7. K. Park, V. S. Pai. 2006. Scale and Performance in the Co-Blitz Large-File Distribution Service. In Proceedings of the 3rd Symposium on Networked Systems Design and Implementation, San Jose, CA, NSDI.

Keywords

Distance Learning, Cache, Fault Tolerance

Index Terms

Computer Science
Information Sciences