Journal article
FIELD-BASED COORDINATION WITH THE SHARE OPERATOR
Logical methods in computer science, Vol.16(4), pp.1-41
01/01/2020
DOI: 10.23638/LMCS-16(4:1)2020
Abstract
Field-based coordination has been proposed as a model for coordinating collective adaptive systems, promoting a view of distributed computations as functions manipulating data structures spread over space and evolving over time, called computational fields. The field calculus is a formal foundation for field computations, providing specific constructs for evolution (time) and neighbour interaction (space), which are handled by separate operators (called rep and nbr, respectively). This approach, however, intrinsically limits the speed of information propagation that can be achieved by their combined use. In this paper, we propose a new field-based coordination operator called share, which captures the space-time nature of field computations in a single operator that declaratively achieves: (i) observation of neighbours' values; (ii) reduction to a single local value; and (iii) update and converse sharing to neighbours of a local variable. We show that for an important class of self-stabilising computations, share can replace all occurrences of rep and nbr constructs. In addition to conceptual economy, use of the share operator also allows many prior field calculus algorithms to be greatly accelerated, which we validate empirically with simulations of frequently used network propagation and collection algorithms.
Details
- Title: Subtitle
- FIELD-BASED COORDINATION WITH THE SHARE OPERATOR
- Creators
- Giorgio Audrito - Univ Torino, Dipartimento Informat, Turin, ItalyJacob Beal - Raytheon (United States)Ferruccio Damiani - Univ Torino, Dipartimento Informat, Turin, ItalyDanilo Pianini - University of BolognaMirko Viroli - University of Bologna
- Resource Type
- Journal article
- Publication Details
- Logical methods in computer science, Vol.16(4), pp.1-41
- DOI
- 10.23638/LMCS-16(4:1)2020
- ISSN
- 1860-5974
- eISSN
- 1860-5974
- Publisher
- Logical Methods Computer Science E V
- Number of pages
- 41
- Grant note
- Ateneo/CSP project "AP: Aggregate Programming" Italian PRIN 2017 project "Fluidware"
- Language
- English
- Date published
- 01/01/2020
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984627321702771
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