Abstract | ||
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We proposed a parallel linear storage space with a sub linear complexity text searching algorithm by a combination of an offline and online text searching methods. We achieved this by modeling a semi-self Index which is consists of text along its index in an efficient and compact structure. This structure will only required an n storage space and also a small running time space during the search process. The proposed searching algorithm is proven to be practically efficient since it gained a near linear speedup in a parallel environment and runs in the f average of O (n/cp m log c/|Sigma|+c_time) theoretical time. |
Year | DOI | Venue |
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2008 | 10.1109/AMS.2008.84 | Asia International Conference on Modelling and Simulation |
Keywords | Field | DocType |
compact structure,near linear speedup,space efficient,parallel environment,parallel text searching,parallel linear storage space,semi-self index,online text,n storage space,theoretical time,time space,sub linear complexity text,sorting,text analysis,indexation,parallel algorithms,search algorithm,parallel algorithm,burrows wheeler transform,computational complexity,computer simulation,computational modeling,data structures,concurrent computing | Data structure,Search algorithm,Burrows–Wheeler transform,Parallel algorithm,Computer science,Spacetime,Algorithm,Suffix array,Computational complexity theory,Speedup | Conference |
ISBN | Citations | PageRank |
978-0-7695-3136-6 | 0 | 0.34 |
References | Authors | |
11 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ibrahim Umar | 1 | 10 | 3.92 |
Rosni Abdullah | 2 | 156 | 24.82 |