Compact I/O-Efficient Graph Representations

The objective of this thesis is to develop a fast memory-efficient representa- tion of some graphs that occur in real-world applications. We consider separable graph classes (e.g. planar graphs or graphs of bounded genus) and show how to represent them in a way that (1) makes accessing vertices in a walk cache-efficient on average and (2) is highly memory-efficient. In particular, we show a compact representation of separable graph classes with the I/O cost of a random walk of length k being O(K/(Bw)1−c ) w.h.p. In the second part of the thesis, we consider layout of trees with optimal worst-case I/O cost for root-to-leaf traversal, show an additive (+1)-approximation of I/O optimal compact layout and contrast this with a proof of NP-hardness of exact solution. In this thesis, we also prove generalisations of the recursive separator theo- rem. The first one generalises the theorem for weighted graphs and the second one replaces minimum region size by average region size in the bound.