Separator-Based Graph Embedding into Multidimensional Grids with Small Edge-Congestion

Abstract

We study the problem of embedding a guest graph with minimum edge-congestion into a multidimensional grid with the same size as that of the guest graph. Based on a well-known notion of graph separators, we show that an embedding with a smaller edge-congestion can be obtained if the guest graph has a smaller separator, and if the host grid has a higher but constant dimension. Specifically, we prove that any graph with N nodes, maximum node degree , and with a node-separator of size O(nα) (0≤α<1) can be embedded into a grid of a fixed dimension d≥ 2 with at least N nodes, with an edge-congestion of O() if d>1/(1-α), O( N) if d=1/(1-α), and O( Nα-1+1d) if d< 1/(1-α). This edge-congestion achieves constant ratio approximation if d>1/(1-α), and matches an existential lower bound within a constant factor if d≤ 1/(1-α). Our result implies that if the guest graph has an excluded minor of a fixed size, such as a planar graph, then we can obtain an edge-congestion of O( N) for d=2 and O() for any fixed d≥ 3. Moreover, if the guest graph has a fixed treewidth, such as a tree, an outerplanar graph, and a series-parallel graph, then we can obtain an edge-congestion of O() for any fixed d≥ 2. To design our embedding algorithm, we introduce edge-separators bounding expansion, such that in partitioning a graph into isolated nodes using edge-separators recursively, the number of outgoing edges from a subgraph to be partitioned in a recursive step is bounded. We present an algorithm to construct an edge-separator with expansion of O( nα) from a node-separator of size O(nα).

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