A Framework for Predicting Query Response Time

Singhal, Rekha

doi:10.1109/hpcc.2012.167

Cited by 2 publications

(1 citation statement)

References 10 publications

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“…Macdonald et al [9] have investigated the impact of dynamic pruning strategies on query response times, and propose a framework for predicting the efficiency of a query. Singhal [10] has discussed a framework for predicting the SQL query response time with growth of the database while being transparent to the production hardware, storage subsystem and DB Server. Saxena and Kumar [11] have computed the object-oriented query response time for UML models.…”

Section: Related Workmentioning

confidence: 99%

Markov Chain Application in Object-Oriented Software Designing

Kumar¹,

Saxena²

2013

IJCA

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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.

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Section: Related Workmentioning

confidence: 99%

Markov Chain Application in Object-Oriented Software Designing

Kumar¹,

Saxena²

2013

IJCA

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Markov Chain Application in Object-Oriented Software Designing

Kumar¹,

Saxena²

2013

IJCA

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In the current scenario, the performance evaluation of the software system is one of the major factors of the software development that helps to develop the quality oriented software. There are many performances optimizing techniques which are used for evaluating the performance of the software systems. Many of the researchers have used the optimization techniques i.e. Markov chain to find out the performance of the object-oriented software design. The present papers is based upon the evaluating the performance of the designed UML model for a real case study of Life Insurance of India (LIC). The performance is evaluated for sharing the attributes by the UML classes. The concept of the probabilistic adjacency metric is used and Dijkstra's algorithm is applied to compute the optimal path.

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A Framework for Predicting Query Response Time

Cited by 2 publications

References 10 publications

Markov Chain Application in Object-Oriented Software Designing

Markov Chain Application in Object-Oriented Software Designing

Markov Chain Application in Object-Oriented Software Designing

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