Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/21061
Title: Weaker Forms of Monotonicity for Declarative Networking: A More Fine-Grained Answer to the CALM-Conjecture
Authors: AMELOOT, Tom 
KETSMAN, Bas 
NEVEN, Frank 
Zinn, Daniel
Issue Date: 2016
Source: ACM TRANSACTIONS ON DATABASE SYSTEMS, 40 (4)
Abstract: The CALM-conjecture, first stated by Hellerstein [2010] and proved in its revised form by Ameloot et al. [2013] 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. [2012] 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 article, we extend the story by equating increasingly larger classes of coordination-free computations with increasingly weaker forms of monotonicity and present explicit Datalog variants 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 article can be interpreted as a more fine-grained answer to the CALM-conjecture.
Keywords: distributed database; relational transducer; consistency; coordination; expressive power; cloud programming
Document URI: http://hdl.handle.net/1942/21061
ISSN: 0362-5915
e-ISSN: 1557-4644
DOI: 10.1145/2809784
ISI #: 000371198500001
Rights: 2015 Copyright is held by the Owner/Author. Publication rights licensed to ACM.
Category: A1
Type: Journal Contribution
Validations: ecoom 2017
Appears in Collections:Research publications

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