Summary: We consider the problem of labeling the nodes of a graph in a way that will allow one to compute the distance between any two nodes directly from their labels (without using any additional information). Our main interest is in the minimal length of labels needed in different cases. We obtain upper and lower bounds for several interesting families of graphs. In particular, our main results are the following. For general graphs, we show that the length needed is \(\Theta(n)\). For trees, we show that the length needed is \(\Theta(\log^{2}n)\). For planar graphs, we show an upper bound of \(0(\sqrt n\log n)\) and a lower bound of \(\Omega(n^{1/3})\). For bounded degree graphs, we show a lower bound of \(\Omega(\sqrt n)\). The upper bounds for planar graphs and for trees follow by a more general upper bound for graphs with a \(r(n)\)-separator. The two lower bounds, however, are obtained by two different arguments that may be interesting in their own right. We also show some lower bounds on the length of the labels, even if it is only required that distances be approximated to a multiplicative factor s. For example, we show that for general graphs the required length is \(\Omega(n)\) for every \(s<3\). We also consider the problem of the time complexity of the distance function once the labels are computed. We show that there are graphs with optimal labels of length \(3\log n\), such that if we use any labels with fewer than \(n\) bits per label, computing the distance function requires exponential time. A similar result is obtained for planar and bounded degree graphs.