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A Distributed Parallel Algorithm for Web Page Inverted Indexes Construction on the Cluster Computing Systems

Authors: Liang Zhengyou; Chen Tao;

A Distributed Parallel Algorithm for Web Page Inverted Indexes Construction on the Cluster Computing Systems

Abstract

Against the low index speed of serial algorithm for Web page inverted indexes construction, according to a characteristic of merge-sort algorithm meets the theory of scheduling divisible loads in parallel and distributed system, the paper proposed a new parallel algorithm basing on the triple sort-merge for Web page inverted indexes construction. The algorithm distributed parallel dealt with the two tasks parsing term and sorting these term postings which spent lots of time in the construction of inverted indexes, each term was represented as a triple, the time complexity of the algorithm was analyzed. This paper also applied a Java middleware named ProActive, designed and implemented a distributive parallel Web page indexer named P_Indexer on the cluster computing systems. The algorithm analysis and experimental results showed the parallel algorithm reaches high efficiency and good scalability.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
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