SPLZ: An efficient algorithm for single source shortest path problem using compression method
SPLZ: An efficient algorithm for single source shortest path problem using compression method
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SPLZ:一种使用压缩方法解决单源最短路径问题的高效算法
DOI:
10.1007/s10707-015-0229-7
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发表时间:
2014-08
期刊:
影响因子:
2
通讯作者:
Sun, Guangzhong
中科院分区:
文献类型:
--
作者:
Sun, Jingwei;Sun, Guangzhong
Efficient solution of the single source shortest path (SSSP) problem on road networks is an important requirement for numerous real-world applications. This paper introduces an algorithm for the SSSP problem using compression method. Owning to precomputing and storing all-pairs shortest path (APSP), the process of solving SSSP problem is a simple lookup of a little data from precomputed APSP and decompression. APSP without compression needs at least 1TB memory for a road network with one million vertices. Our algorithm can compress such an APSP into several GB, and ensure a good performance of decompression. In our experiment on a dataset about Northwest USA (with 1.2 millions vertices), our method can achieve about three orders of magnitude faster than Dijkstra algorithm based on binary heap.
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DOI:
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发表时间:
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期刊:
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DOI:
10.1016/j.jpdc.2012.02.007
发表时间:
2011-05
期刊:
2011 IEEE International Parallel & Distributed Processing Symposium
影响因子:
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作者:
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通讯作者:
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影响因子:
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作者:
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通讯作者:
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