1,721,126 research outputs found

    Enhanced divide-and-conquer algorithm with 2-block policy

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    The number of comparisons involved in searching minimum and maximum elements from a set of data will determine the performance of an algorithm. A Divide-and-Conquer algorithm is the most efficient algorithm for searching minimum and maximum elements of a set of data of any size. However, the performance of this algorithm can still be improved by reducing the number of comparisons of certain sets of data. In this paper a 2-block (2B) policy under the divide-and-conquer technique is proposed in order to deal with this problem. On the basis of this policy, the divide-and-conquer algorithm is enhanced. It is shown that the performance of the proposed algorithm performs equally at par when compared with the established algorithm of data size of power of two and better when compared with data size of not a power of two

    A method of estimating aborted transaction in the database concurrency control system

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    Transactions may be aborted when they are unable to obtain a lock on a required data item. Estimating the proportion of transaction that aborts is one of the key issues in modelling a system which affect the performance measures of interest such as average response time and the throughput capacity of the system. This paper shows a method of estimating aborted transaction and performs a comparative study with other method given by Mitrani et al

    ELP-M2: An Efficient Model for Mining Least Patterns from Data Repository

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    Most of the algorithm and data structure facing a computational problem when they are required to deal with a highly sparse and dense dataset. Therefore, in this paper we proposed a complete model for mining least patterns known as Efficient Least Pattern Mining Model (ELP-M2) with LP-Tree data structure and LP-Growth algorithm. The comparative study is made with the well-know LP-Tree data structure and LP-Growth algorithm. Two benchmarked datasets from FIMI repository called Kosarak and T40I10D100K were employed. The experimental results with the first and second datasets show that the LP-Growth algorithm is more efficient and outperformed the FP-Growth algorithm at 14% and 57%, respectively

    Efficient access of replicated data in distributed database systems

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    Replication is a useful technique for distributed database systems where a data object will be accessed (i.e., read and written) from multiple locations such as from a local area network environment or geographically distributed world wide. This technique is used to provide high availability, fault tolerance, and enhanced performance
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