New techniques and tighter bounds for local computation algorithms

https://doi.org/10.1016/j.jcss.2016.05.007Get rights and content
Under an Elsevier user license
open archive

Highlights

  • We introduce d-light graphs, a new family that includes graphs of constant bounded degree and Erdos–Renyi graphs.

  • We develop new techniques for bounding the time and space requirements of LCAs.

  • We use these techniques to develop algorithms for a large family of problems on d-light graphs.

  • For example, we construct an LCA that requires O(lognloglogn) space and O(log2n) time for MIS.

  • We show that the above LCA requires O(loglogn) time and O(logn) space in expectation.

Abstract

Given an input x and a search problem F, local computation algorithms (LCAs) implement access to specified locations of y in a legal output yF(x), using polylogarithmic time and space. Parnas and Ron [27] and Mansour et al. [19] showed how to convert certain distributed and online algorithms to LCAs, respectively. In this work, we expand on those lines of work and develop new techniques for designing LCAs and bounding their space and time complexity.

Keywords

Local computation algorithms
Sublinear algorithms
Pseudorandomness

Cited by (0)

1

Supported in part by the Google Europe Fellowship in Game Theory. This research was conducted while Shai was at Tel Aviv University.