The main idea of this work is to emit paths along with distances in the map phase, so that each node will have its shortest path easily accessible at all times.
The proposed approach consists in partitioning the original graph into a set of subgraphs, then solving the shortest path on each subgraph in a parallel way to ...
May 3, 2018 · This paper deals with an efficient parallel and distributed framework for intensive computation with A* algorithm based on MapReduce concept.
Oct 22, 2024 · In this paper, we are interested in evaluating how the MapReduce framework can create an innovative way for solving operational research ...
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... the MapReduce-based approach for shortest path problem in large-scale network. The proposed approach works in four stages including the map and reduce stages.
Journal of Big Data (May 2018). The MapReduce-based approach to improve the shortest path computation in large-scale road networks: the case of A* algorithm.
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(PDF) The MapReduce-based approach to improve the shortest ...
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This paper deals with an efficient parallel and distributed framework for intensive computation with A* algorithm based on MapReduce concept.
In the era of big data, using of data mining instead of data collection represents a new challenge for researchers and engineers.
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This paper deals with an efficient parallel and distributed framework for intensive computation with A* algorithm based on MapReduce concept.
Missing: problem | Show results with:problem