Paper Info
Title
An innovative platform to improve the performance of exact string matching algorithms
Abstract
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.
Year
Venue
Keywords
2010
Clinical Orthopaedics and Related Research
parallel,string matching,search algorithm,parallel processing,cluster computing,data structure
DocType
Volume
ISSN
Journal
abs/1002.2
International Journal of Computer Science and Information Security, IJCSIS, Vol. 7, No. 1, pp. 280-283, January 2010, USA
Citations 
PageRank 
References 
0
0.34
2
Authors
6
Name
Order
Citations
PageRank
Mosleh M. Abu-Alhaj1103.72
M. Halaiyqah200.34
Muhannad A. Abu Hashem300.34
Adnan A. Hnaif411.73
Omar Amer Abouabdalla542.16
Ahmed M. Manasrah694.36