Implementation of Online Test Engine Based on Load Balancing

Authors

  • Diksha Ninave  BE, Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Abhishek Aphale  BE, Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Ashlesha Wath  BE, Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Ankita Watkar  BE, Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Tushar Likhar  BE, Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India
  • Prof. Shraddha Karale  Assistant Professor, Computer Science & Engineering, Rajiv Gandhi College of Engineering and Research, Nagpur, Maharashtra, India

Keywords:

Test Engine, Clustered Load Balancing, Distributed Systems, Workload, Response Time, Node Utilization

Abstract

Numerous expansive web locales get a huge number of hits each day. They require a versatile web server framework that can give better execution to every one of the customers that might be in various topographical locales. The regular way to deal with enhancing execution is to have completely repeated web server bunches in various topographical areas with duplicated servers. In such a domain, a standout amongst the most critical issues is choosing a server for adjusting a demand. Customer solicitations ought to be coordinated to a server with the end goal that the time taken for adjusting the demand can be limited. Diverse approaches are feasible for server determination and it is hard to decide the effect of various arrangements. A distributed framework comprises of a few self-sufficient nodes, where a portion of the nodes might be overloaded because of a substantial number of job entries while others nodes are inactive with no preparing. Load Balancing is utilized for viably dispersing the load among the nodes. Centralized load balancing plans are not adaptable as the load balancing choice relies upon a focal server. Interestingly completely distributed plans are versatile however, they do not deliver a reasonable load circulation as they utilize nearby data. In this examination, we propose a clustered load balancing arrangement for a heterogeneous distributed registering framework.

References

  1. S. F. El-Zoghdy, H. Kameda, J. Li, "Comparison of dynamic vs. static load balancing policies in a mainframe-personal computer network model", INFORMATION, vol. 5, no. 4, pp. 431-446, 2002.
  2. K.Y. Kabalan, W.W. Smari, J.Y. Hakimian, "Adaptive load Sharing in heterogeneous system: Policies Modifications and Simulation", CiteSeerx, 2008.
  3. H. C. Lin, C.S. Raghavendra, "A Dynamic Load Balancing Policy with a Central Job Dispatcher (LBC)" in , 1992.
  4. Ioannis Konstantinou, Dimitrios Tsoumakos, "Fast and Cost-Effective Online Load-Balancing in Distributed Range-Queriable Systems", Parallel and Distributed Systems IEEE Transactions on, vol. 22, no. 8, pp. 1350-1364, 2011.
  5. I. Ahmad, A. Ghafoor, K. Mehrotra, "Performance Prediction of Distributed Load Balancing on Multicomputer Systems", ACM, pp. 830-839, 1991.
  6. L. Anand, D. Ghose, V. Mani, "ELISA: An Estimated Load Information Scheduling Algorithm for distributed computing systems", International Journal on Computers and Mathematics with Applications, vol. 37, no. 8, pp. 57-85, April 1999.
  7. Mohammad Javeed Zaki, We Li, Srinivasan Parthasarathy, "Customized Dymnamic Load Balancing for a network of workstations", Journal of Parallel and Distributed Computing, vol. 43, no. 2, pp. 156-162.
  8. K Devine, B Hendrickson, E. Boman, M St John, C Vaghan, "Design of dynamic load balancing tools for parallel applications", Proceedings of the 14th International Conference on Super Computing, pp. 110-118, 2000.
  9. Kielmann Niewpoort, Bal, "Efficient Load Balancing for wide area divide and conquer applications", proceedings of the eighth ACM SIGPLAN symposium on Principles and Practises of Paralle programming, pp. 34-43.
  10. Belabbas Yagoubi, Meriem Meddeber, "Distributed Load Balancing Model for Grid Computing", Revue ARIMA, vol. 12, pp. 43-60, 2010.
  11. P. Neelakantan, "International Journal of Research in Computer Science ISSN 2249–8265", Anadaptive load sharing algorithm for Heterogeneous distributed system, vol. 3, no. 3, pp. 9-15, 2013.
  12. L.K. Dey, D. Ghosh, Satya Bagchi, J. Zhang, "Efficient Load Balancing Algorithm Using Complete Graph" in ICAIC 2011 Part V CCIS, vol. 228, pp. 643-646, 2011.
  13. M. Arora, S.K. Das, R. Biswas, "A De-centralized scheduling and load balancing algorithm for heterogeneous grid environments", Proceedings of the International Conference on Parallel Processing Workshops (ICPPW.2002), pp. 499-505, 2002.
  14. A. Menendez LC, H. Benitez-Perez, "Node Availability for Distributed Systems considering processor and RAM utilization for Load Balancing", Int. J. of Computers Communications & Control, vol. V, no. 3, pp. 336-350, 2010, ISSN 1841-9836, E-ISSN 1841-9844.
  15. Orly Kremen, Jeff Kramer, "Methodical Analysis of Adaptive Load Sharing Algorithms", IEEE Transactions on Parallel and Distributed Systems, vol. 3, no. 6, November 1992.
  16. Marc. H. Willebeek, Le Mair, Anthony P. Reeves, "Strategies for Dynamic Load Balancing on Highly Parallel Computers", IEEE Transactions on Parallel and Distributed Systems, vol. 4, no. 9, September 1993.

International Journal of Scientific Research in Science and Technology

Downloads

Published

2019-03-30

Issue

Volume 6, Issue 2, March-April-2019

Section

Research Articles

License

Copyright (c) IJSRST

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Diksha Ninave, Abhishek Aphale, Ashlesha Wath, Ankita Watkar, Tushar Likhar, Prof. Shraddha Karale, " Implementation of Online Test Engine Based on Load Balancing, International Journal of Scientific Research in Science and Technology(IJSRST), Online ISSN : 2395-602X, Print ISSN : 2395-6011, Volume 6, Issue 2, pp.69-75, March-April-2019.