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Parallel Implementation of Single-Source Shortest Path Algorithm Based on Haloop

机译:基于挂钩的单源最短路径算法的并行实现

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As a typical problem of graph theory, Single-Source Shortest Path(SSSP) has a wide range of applications and research. The traditional MapReduce framework such as Hadoop has been applied to SSSP problem. However, in this way, it may need writing and reading the disk frequently, transmitting data largely, because of SSSP's iterative. Haloop is a parallel programming framework which makes an improvement based on Hadoop framework, and adapts itself to iterative programming. Hence, this article represents the SSSP problem with an iterative way firstly, and then we put forward the implementation mechanism of SSSP algorithm based on Haloop. Though testing and analyzing, the implementation based on Haloop obviously improves the efficiency of program execution, compared with the traditional realization mechanism.
机译:作为图形理论的典型问题,单源最短路径(SSSP)具有广泛的应用和研究。传统的MapReduce框架,如Hadoop已应用于SSSP问题。然而,通过这种方式,由于SSSP的迭代,它可能需要频繁地编写和读取磁盘,在很大程度上在很大程度上传输数据。 HALOOP是一个并行编程框架,它基于Hadoop框架进行了改进,并适应自身迭代编程。因此,本文首先用迭代方式代表SSSP问题,然后我们提出了基于Haloop的SSSP算法的实现机制。虽然测试和分析,但基于HALOOP的实现显然提高了方案执行的效率,与传统的实现机制相比。

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