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A Framework for Distributed Pattern Matching Based on Multithreading
Despite of the dramatic evolution in high performan ce computing we still need to devise new efficient algorithms to
speed up the search process. In this paper, we pres ent a framework for a data%distributed and multithr eaded string matching
approach in a homogeneous distributed environment. The main idea of this approach is to have multiple agents that
concurrently search the text, each one from differe nt position. By searching the text from different positions the required
pattern can be found more quickly than by searching the text from one position). Concurrent search can be achieved by two
techniques; the first is by using multithreading on a single processor, in this technique each thread is responsible for searching
one part of the text. The concurrency of the multit hreading technique is based on the time sharing pri nciple, so it provides us
of an illusion of concurrency not pure concurrency. The second technique is by having multiprocessor m achine or distributed
processors to search the text; in this technique al l of the processors search the text in a pure concu rrent way. Our approach
combines the two concurrent search techniques to fo rm a hybrid one that takes advantage from the two t echniques. The
proposed approach manipulates both exact string mat ching and approximate string matching with k%mismat ches.
Experimental results demonstrate that this approach is an efficient solution to the problem in a homogeneous clustered system.
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