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Impact of Rate of Query Response For Object-Oriented Design

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 77 - Number 5
Year of Publication: 2013
Authors:
Santosh Kumar
Vipin Saxena
10.5120/13387-1018

Santosh Kumar and Vipin Saxena. Article: Impact of Rate of Query Response For Object-Oriented Design. International Journal of Computer Applications 77(5):1-4, September 2013. Full text available. BibTeX

@article{key:article,
	author = {Santosh Kumar and Vipin Saxena},
	title = {Article: Impact of Rate of Query Response For Object-Oriented Design},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {77},
	number = {5},
	pages = {1-4},
	month = {September},
	note = {Full text available}
}

Abstract

Due to the wide use of the Object-Oriented database by the business organizations, it is necessary to compute how many queries are responded by the database at a particular time ( this is named as rate of query response ) that one can easily find out the rate of query response time. In this paper a real case study of Life Insurance Corporation of India has been taken and computes the rate of query response. A UML class model for query response time is designed and converted it into the directed graph and a table is also designed for computing the rate of query response.

References

  • Milicevic M. , Baranovic M. and Botos V. , 2005, QoS control based on query response time prediction, 9th WSEAS International Conference on Computers, Article No. 81.
  • Liu X. , Liu Y. and Xiao L. , 2006, Improving Query Response Delivery Quality in Peer-to-Peer Systems, IEEE Transactions on Parallel and Distributed Systems, Vol. 17, Issue 11, pp. 1335-1347.
  • Wang T. , Yang B. , Gao J. and Yang D. 2008 Effective data distribution and reallocation strategies for fast query response in distributed query-intensive data environments, 10th Asia-Pacific web conference on Progress in WWW research and development, pp. 548-559.
  • Liu Y. C. , Hsu P. P. , Ku S. and Chang K. W. , 2008 Simultaneous determination of view selection and update policy with stochastic query and response time constraints, Journal of information Sciences, Vol. 178, Issue 18, pp. 3491-3509.
  • Sun H. and Yu H. , 2010, A Propagation Model of Reputation Query Request, 2nd International Conference on Information Management and Engineering (ICIME), pp. 539-543, 16-18 April.
  • Fabbri D. , Lefever K. and Zhu Q. , 2010, Policy Replay: misconfiguration-response queries for data breach reporting, Proceedings of the VLDB Endowment, Vol. 3, Issue 1-2, Pages 36-47.
  • Muruganathan S. D. , Sesay A. B. and Krzymien W. A. , 2010, Analytical query response time evaluation for a two-level clustering hierarchy based wireless sensor network routing protocol, IEEE Communications Letters, Volume 14, Issue 5, pp. 486-488.
  • Liang W. , Chen B. and Yu X. J. , 2011, Top-k query evaluation in sensor networks under query response time constraint, Journal of Information Sciences, Vol. 181, Issue 4, pp. 869-882.
  • Macdonald C. , Tonellotto N. and Ounic I. , 2012, Learning to predict response times for online query scheduling, 35th international ACM SIGIR conference on Research and development in information retrieval, pp. 621-630, doi>10. 1145/2348283. 2348367.
  • Singhal R. , 2012, A Framework for Predicting Query Response Time, 14th International Conference on High Performance Computing and Communication & 2012 IEEE 9th International Conference on Embedded Software and Systems, pp. 1137-1141, doi>10. 1109/HPCC. 2012. 167.
  • Saxena v. and Kumar S. , 2012, Object Oriented Query Response Time for UML Models, Journal of Software Engineering and Applications, Vol. 5, Issue 7, pp. 508-512.