Tight Lower Bounds for the Workflow Satisfiability Problem Based on the Strong Exponential Time Hypothesis
August 27, 2015 Β· Declared Dead Β· π Information Processing Letters
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Authors
Gregory Gutin, Magnus Wahlstrom
arXiv ID
1508.06829
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CC,
cs.CR
Citations
13
Venue
Information Processing Letters
Last Checked
3 months ago
Abstract
The Workflow Satisfiability Problem (WSP) asks whether there exists an assignment of authorized users to the steps in a workflow specification, subject to certain constraints on the assignment. The problem is NP-hard even when restricted to just not equals constraints. Since the number of steps $k$ is relatively small in practice, Wang and Li (2010) introduced a parametrisation of WSP by $k$. Wang and Li (2010) showed that, in general, the WSP is W[1]-hard, i.e., it is unlikely that there exists a fixed-parameter tractable (FPT) algorithm for solving the WSP. Crampton et al. (2013) and Cohen et al. (2014) designed FPT algorithms of running time $O^*(2^{k})$ and $O^*(2^{k\log_2 k})$ for the WSP with so-called regular and user-independent constraints, respectively. In this note, we show that there are no algorithms of running time $O^*(2^{ck})$ and $O^*(2^{ck\log_2 k})$ for the two restrictions of WSP, respectively, with any $c<1$, unless the Strong Exponential Time Hypothesis fails.
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