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arXiv · 2006.06062

Empirical Time Complexity of Generic Dijkstra Algorithm

Piotr Jurkiewicz·Edyta Biernacka·Jerzy Domżał·Robert Wójcik
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Abstract

Generic Dijkstra is a novel algorithm for finding the optimal shortest path in both wavelength-division multiplexed networks (WDM) and elastic optical networks (EON), claimed to outperform known algorithms considerably. Because of its novelty, it has not been independently implemented and verified. Its time complexity also remains unknown. In this paper, we perform run-time analysis and show that Generic Dijkstra running time grows quadratically with the number of graph vertices and logarithmically with the number of edge units. We also discover that the running time of the Generic Dijkstra algorithm in the function of network utilization is not monotonic, as peak running time is at approximately 0.25 network utilization. Additionally, we provide an independent open source implementation of Generic Dijkstra in the Python language. We confirm the correctness of the algorithm and its superior performance. In comparison to the Filtered Graphs algorithm, Generic Dijkstra is approximately 2.3 times faster in networks with 25 to 500 nodes, and in 90% of calls its computation takes less time.

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Piotr Jurkiewicz, Edyta Biernacka, Jerzy Domżał, Robert Wójcik. 2020-06-10. Empirical Time Complexity of Generic Dijkstra Algorithm. https://arxiv.org/abs/2006.06062

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