ReGraDa: Reactive Graph Data

Galrinho, Leandro; Seco, João Costa; Debois, Søren; Hildebrandt, Thomas; Norman, Håkon

doi:10.1007/978-3-030-78142-2_12

Cited by 3 publications

(1 citation statement)

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“…Finally, recent work [30], [31] on the Reactive Data model adopts a declarative attribute-based interaction similar to AbU-dsl's. In this model, ECA rules are given by declarative Response Relations, while attribute-based interaction is obtained by using dynamic end-points of the relations, defined by graph query languages.…”

Section: A Related Workmentioning

confidence: 99%

The AbU Language: IoT Distributed Programming Made Easy

2022

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Event-driven programming based on Event-Condition-Action (ECA) rules allows users to define complex automation routines in a simple, declarative way; for this reason, in recent years ECA rules have been adopted by the majority of companies in the Internet of Things (IoT) industry as a promising paradigm for implementing ubiquitous and pervasive systems. Unfortunately, programming simplicity comes to a price: most implementations of ECA rules are bound to a strongly centralized communication infrastructure, that poses serious limitations on the application scenarios for the IoT, due to scalability, security and availability issues. To mitigate these issues, recent works introduced abstractions for communication and coordination of ensembles of IoT devices in a decentralized setting, effectively moving the computation towards the edge of the network without sacrificing the programming simplicity prerogative of ECA rules. In particular, Attribute-based memory Updates is a communication model transparently enhancing ECA rules-based systems with an interaction mechanism where communication is similar to broadcast but actual receivers are selected on the spot, by means of predicates over devices properties. In this paper, we introduce AbU-dsl, a Domain Specific Language for the IoT that compiles on top of an implementation of Attribute-based memory Updates. In this way, AbU-dsl provides a practical development interface, based on ECA rules, to effectively program IoT devices in a fully decentralized setting, by exploiting a full-fledged attribute-based interaction model. Thus, programmers can specify interactions between devices in a declarative way, abstracting from details such as devices identity, number, or even their existence, without the need for a central controlling service. INDEX TERMSIoT programming, ECA rules, Attribute-based memory Updates, Distributed systems, Edge computing, Domain Specific Language.This rule pattern basically means: when Event occurs, if Condition is verified, then execute Action. Thus, an ECA rules-based smart device can react to an event (e.g., a variable change or a signal from a sensor) by executing one or more actions, that can update the internal state of the device or act on the environment via an actuator. Of course, the effect caused by the rule action can trigger other rules, and so on.However, in most current models and implementations of this paradigm, the ECA rules are stored on, and executed by,

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Section: A Related Workmentioning

confidence: 99%

The AbU Language: IoT Distributed Programming Made Easy

2022

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Model-based decision support for knowledge-intensive processes

2022

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Process-aware information systems guide participants through the execution of processes. However, existing systems have limited support for knowledge-intensive processes, which are multi-variant and shaped by informed decisions of knowledge workers. Yet, making such decisions causes high cognitive load, as the effect of the decision on the future process execution must be considered. This may cause errors and/or slow down the process execution. We present an approach based on fragment-based Case Management. It supports the iterative decision making by (i) enabling knowledge workers to define goals and (ii) by giving recommendations on which decision outcomes align with the goals and which do not. For that, we use information from the process model and the running process instance. We show the technical feasibility with a proof-of-concept implementation and the value for knowledge workers in a preliminary user study.

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AbU: A calculus for distributed event-driven programming with attribute-based interaction

Pasqua

Miculan

2023

Theoretical Computer Science

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ReGraDa: Reactive Graph Data

Cited by 3 publications

References 12 publications

The AbU Language: IoT Distributed Programming Made Easy

The AbU Language: IoT Distributed Programming Made Easy

Model-based decision support for knowledge-intensive processes

AbU: A calculus for distributed event-driven programming with attribute-based interaction

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