
Interaction constraints are an expressive formalism for describing coordination patterns, such as those underlying the coordination language Reo, that can be efficiently implemented using constraint satisfaction technologies such as SAT and SMT solvers. Existing implementations of interaction constraints interact with external components only in a very simple way: interaction occurs only between rounds of constraint satisfaction. What is missing is any means for the constraint solver to interact with the external world during constraint satisfaction.This paper introduces interactive interaction constraints which enable interaction during constraint satisfaction, and in turn increase the expressiveness of coordination languages based on interaction constraints by allowing a larger class of operations to be considered to occur atomically. We describe how interactive interaction constraints are implemented and detail a number of strategies for guiding constraint solvers. The benefit of interactive interaction constraints is illustrated using two examples, a hotel booking system and a system of transactions with compensations. From a general perspective, our work describes how to open up and exploit constraint solvers as the basis of a coordination engine.
Technology, Science & Technology, coordination, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], constraint satisfaction, [INFO] Computer Science [cs], interaction constraints, Computer Science, Theory & Methods, Computer Science, REO, Reo, COORDINATION MODEL
Technology, Science & Technology, coordination, [INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI], constraint satisfaction, [INFO] Computer Science [cs], interaction constraints, Computer Science, Theory & Methods, Computer Science, REO, Reo, COORDINATION MODEL
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
