Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Impact of Rate of Query Response For Object-Oriented Design

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

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

	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}


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.


  • 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.