The distributed single-source shortest paths problem is one of the most fundamental and central problems in the message-passing distributed computing. Classical Bellman-Ford algorithm solves it in O (n) time, where n is the number of vertices in the input graph G. Peleg and Rubinovich, FOCS'99, showed a lower bound of Ω(D + √ n) for this problem, where D is the hop-diameter of G. Whether or not this problem can be solved in o(n) time when D is relatively small is a major notorious open question. Despite intensive research that yielded near-optimal algorithms for the approximate variant of this problem, no progress was reported for the original problem. In this paper we answer this question in the a rmative. We devise an algorithm that requires O ((n log n) 5/6 ) time, for D = O ( n log n), and O (D 1/3 · (n log n) 2/3 ) time, for larger D. This running time is sublinear in n in almost the entire range of parameters, speci cally, for D = o(n/ log 2 n). We also generalize our result in two directions. One is when edges have bandwidth b ≥ 1, and the other is the s-sources shortest paths problem. For both problems, our algorithm provides bounds that improve upon the previous state-of-the-art in almost the entire range of parameters. In particular, we provide an all-pairs shortest paths algorithm that requires O (n 5/3 · log 2/3 n) time, even for b = 1, for all values of D. We also devise the rst algorithm with non-trivial complexity guarantees for computing exact shortest paths in the multipass semi-streaming model of computation. From the technical viewpoint, our algorithm computes a hopset G of a skeleton graph G of G without rst computing G itself. We then conduct a Bellman-Ford exploration in G ∪ G , while computing the required edges of G on the y. As a result, our algorithm computes exactly those edges of G that it really needs, rather than computing approximately the entire G .
The problem of finding an exact solution in sublinear time remained opened for years, and only very recently Elkin REF gave an algorithm that is able to solve the problem in O((n log n)
Distributed exact shortest paths in sublinear time
STOC 2017
Mathematics Computer Science