The Complexity of Symmetry Breaking in Massive Graphs
The Complexity of Symmetry Breaking in Massive Graphs
复制标题
海量图中对称性破缺的复杂性
DOI:
10.4230/lipics.disc.2019.26
复制
发表时间:
2021
期刊:
影响因子:
--
通讯作者:
Peter Robinson
中科院分区:
文献类型:
--
作者:
C. Konrad;Sriram V. Pemmaraju;Talal Riaz;Peter Robinson
The goal of this paper is to understand the complexity of symmetry breaking problems, specifically maximal independent set (MIS) and the closely related $\beta$-ruling set problem, in two computational models suited for large-scale graph processing, namely the $k$-machine model and the graph streaming model. We present a number of results. For MIS in the $k$-machine model, we improve the $\tilde{O}(m/k^2 + \Delta/k)$-round upper bound of Klauck et al. (SODA 2015) by presenting an $\tilde{O}(m/k^2)$-round algorithm. We also present an $\tilde{\Omega}(n/k^2)$ round lower bound for MIS, the first lower bound for a symmetry breaking problem in the $k$-machine model. For $\beta$-ruling sets, we use hierarchical sampling to obtain more efficient algorithms in the $k$-machine model and also in the graph streaming model. More specifically, we obtain a $k$-machine algorithm that runs in $\tilde{O}(\beta n\Delta^{1/\beta}/k^2)$ rounds and, by using a similar hierarchical sampling technique, we obtain one-pass algorithms for both insertion-only and insertion-deletion streams that use $O(\beta \cdot n^{1+1/2^{\beta-1}})$ space. The latter result establishes a clear separation between MIS, which is known to require $\Omega(n^2)$ space (Cormode et al., ICALP 2019), and $\beta$-ruling sets, even for $\beta = 2$. Finally, we present an even faster 2-ruling set algorithm in the $k$-machine model, one that runs in $\tilde{O}(n/k^{2-\epsilon} + k^{1-\epsilon})$ rounds for any $\epsilon$, $0 \le \epsilon \le 1$.
DOI:
10.1145/3210377.3210409
发表时间:
2016-02
期刊:
Proceedings of the 30th on Symposium on Parallelism in Algorithms and Architectures
影响因子:
--
作者:
Gopal Pandurangan;Peter Robinson;Michele Scquizzato
通讯作者:
Gopal Pandurangan;Peter Robinson;Michele Scquizzato
DOI:
10.1145/1860684.1860690
发表时间:
2010
期刊:
--
影响因子:
--
作者:
Khabbazian M
通讯作者:
Khabbazian M