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Fully Dynamic Maximal Independent Set with Sublinear Update Time by Assadi, Sepehr; Onak, Krzysztof; Schieber, Baruch; Solomon, Shay is a scholarly article available to read on EtoBox.

What is Fully Dynamic Maximal Independent Set with Sublinear Update Time about?

A maximal independent set (MIS) can be maintained in an evolving $m$-edge graph by simply recomputing it from scratch in $O(m)$ time after each update. But can it be maintained in time sublinear in $m$ in fully dynamic graphs? We answer this fundamental open question in the affirmative. We present a deterministic algorithm with amortized update time $O(\min\{\Delta,m^{3/4}\})$, where $\Delta$ is a fixed bound on the maximum degree in the graph and $m$ is the (dynamically changing) number of edges. We further present a distributed implementation of our algorithm with $O(\min\{\Delta,m^{3/4}\})$ amortized message complexity, and $O(1)$ amortized round complexity and adjustment complexity (the number of vertices that change their output after each update). This strengthens a similar result by Censor-Hillel, Haramaty, and Karnin (PODC'16) that required an assumption of a non-adaptive oblivious adversary.

Author

Assadi, Sepehr; Onak, Krzysztof; Schieber, Baruch; Solomon, Shay

Published

2018

Language

EN