Abstract
This study investigates a light-weight data reduction technique for speeding-up shortest path and distance queries on large graphs. We propose a notion of routing proxies (or simply proxies), each of which represents a small subgraph, referred to as deterministic routing areas (DRAs). We show that routing proxies hold good properties for speeding-up shortest path and distance queries, and there exists a linear-time algorithm to compute routing proxies and their corresponding DRAs. Finally, we discuss the experimental results, and verify that our solution is a general technique for reducing graph sizes and speeding-up shortest path and distance queries, using real-life large graphs
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