Weaker forms of monotonicity for declarative networking: a more fine-grained answer to the calm-conjecture

Tom J. Ameloot, Bas Ketsman, F. Neven, Daniel Zinn
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引用次数: 23

Abstract

The CALM-conjecture, first stated by Hellerstein [23] and proved in its revised form by Ameloot et al. [13] within the framework of relational transducer networks, asserts that a query has a coordination-free execution strategy if and only if the query is monotone. Zinn et al. [32] extended the framework of relational transducer networks to allow for specific data distribution strategies and showed that the nonmonotone win-move query is coordination-free for domain-guided data distributions. In this paper, we complete the story by equating increasingly larger classes of coordination-free computations with increasingly weaker forms of monotonicity and make Datalog variants explicit that capture each of these classes. One such fragment is based on stratified Datalog where rules are required to be connected with the exception of the last stratum. In addition, we characterize coordination-freeness as those computations that do not require knowledge about all other nodes in the network, and therefore, can not globally coordinate. The results in this paper can be interpreted as a more fine-grained answer to the CALM-conjecture.
声明性网络的较弱形式的单调性:对平静猜想的更细粒度的回答
calm猜想首先由Hellerstein[23]提出,并由Ameloot等人[13]在关系换能器网络框架内以修正形式证明,该猜想断言,当且仅当查询是单调的,查询具有不需要协调的执行策略。Zinn等人[32]扩展了关系换能器网络的框架,以允许特定的数据分布策略,并表明非单调的win-move查询对于域引导的数据分布是不需要协调的。在本文中,我们通过将越来越大的无坐标计算类与越来越弱的单调性形式等同起来来完成这个故事,并使Datalog变体显式地捕获这些类中的每一个。一个这样的片段是基于分层的Datalog,其中规则需要与最后一层的例外相连接。此外,我们将协调自由描述为那些不需要了解网络中所有其他节点的计算,因此不能进行全局协调。本文的结果可以解释为对calm猜想的更细粒度的回答。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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