Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-02-11
International Journal of Computer Science and Information Security, IJCSIS, Vol. 7, No. 1, pp. 280-283, January 2010, USA
Computer Science
Distributed, Parallel, and Cluster Computing
IEEE format, International Journal of Computer Science and Information Security, IJCSIS January 2010, ISSN 1947 5500, http:/
Scientific paper
Exact String Matching is an essential issue in many computer science applications. Unfortunately, the performance of Exact String Matching algorithms, namely, executing time, does not address the needs of these applications. This paper proposes a general platform for improving the existing Exact String Matching algorithms executing time, called the PXSMAlg platform. The function of this platform is to parallelize the Exact String Matching algorithms using the MPI model over the Master or Slaves paradigms. The PXSMAlg platform parallelization process is done by dividing the Text into several parts and working on these parts simultaneously. This improves the executing time of the Exact String Matching algorithms. We have simulated the PXSMAlg platform in order to show its competence, through applying the Quick Search algorithm on the PXSMAlg platform. The simulation result showed significant improvement in the Quick Search executing time, and therefore extreme competence in the PXSMAlg platform.
Abouabdalla Omar
Abu Alhaj Mosleh M.
Abu Hashem Muhannad A.
Halaiyqah M.
Hnaif Adnan A.
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