Approximate proof-labeling schemes

被引:13
|
作者
Censor-Hillel, Keren [1 ]
Paz, Ami [2 ,3 ]
Perry, Mor [4 ]
机构
[1] Technion, Dept Comp Sci, Haifa, Israel
[2] CNRS, IRIF, Paris, France
[3] Univ Paris Diderot, Paris, France
[4] Tel Aviv Univ, Dept Elect Engn, Tel Aviv, Israel
关键词
Distributed graph algorithms; Distributed verification; Approximation algorithms; Primal-dual algorithms; DISTRIBUTED VERIFICATION;
D O I
10.1016/j.tcs.2018.08.020
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We study a new model of verification of boolean predicates over distributed networks. Given a network configuration, the proof-labeling scheme (PIS) model defines a distributed proof in the form of a label that is given to each node, and all nodes locally verify that the network configuration satisfies the desired boolean predicate by exchanging labels with their neighbors. The proof size of the scheme is defined to be the maximum size of a label. In this work, we extend this model by defining the approximate proof-labeling scheme (APIS) model. In this new model, the predicates for verification are of the form psi <= phi, where psi, phi : F -> N for a family of configurations F. Informally, the predicates considered in this model are a comparison between two values of the configuration. As in the PLS model, nodes exchange labels in order to locally verify the predicate, and all must accept if the network satisfies the predicate. The soundness condition is relaxed with an approximation ration alpha, so that only psi > alpha phi) some node must reject. We focus on two verification problems: upper and lower bounds on the diameter of the graph, and the maximality of a given matching. For these problems, we present the first results that apply to all graph structures. In our new APLS model, we show that the proof size can be much smaller than the proof size of the same predicate in the PLS model. Moreover, we prove that there is a tradeoff between the approximation ratio and the proof size. Finally, we present the first general result for maximum cardinality matching in the PLS model. (C) 2018 Published by Elsevier B.V.
引用
收藏
页码:112 / 124
页数:13
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