LINC: A Compact Yet Powerful Coordination Environment

Louvel, Maxime; Pacull, François

doi:10.1007/978-3-662-43376-8_6

Cited by 21 publications

(29 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It shows the averages of latency time of different scenarios. Each scenario consists of the execution during 2 minutes of a specific number of rules between (1,10,30,50,70,90,100,200,300,400), and the generation of a number of events for each rule among (5,10,11,15,20,30,100,200) events per second. It is found that for all sets of rules, the delay is negligible when the number of events/second are less than or equal to 11.…”

Section: Resultsmentioning

confidence: 99%

SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways

Kaed¹,

Khan²,

Berg³

et al. 2018

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

The Advent of the Internet-of-Things (IoT) paradigm has brought opportunities to solve many real-world problems. Energy management, for example has attracted huge interest from academia, industries, governments and regulatory bodies. It involves collecting energy usage data, analyzing it, and optimizing the energy consumption by applying control strategies. However, in industrial environments, performing such optimization is not trivial. The changes in business rules, process control, and customer requirements make it much more challenging. In this paper, a Semantic Rules Engine (SRE) for industrial gateways is presented that allows implementing dynamic and flexible rule-based control strategies. It is simple, expressive, and allows managing rules on-the-fly without causing any service interruption. Additionally, it can handle semantic queries and provide results by inferring additional knowledge from previously defined concepts in ontologies. SRE has been validated and tested on different hardware platforms and in commercial products. Performance evaluations are also presented to validate its conformance to the customer requirements.

show abstract

Section: Resultsmentioning

confidence: 99%

SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways

Kaed¹,

Khan²,

Berg³

et al. 2018

IEEE Trans. Ind. Inf.

View full text Add to dashboard Cite

show abstract

“…LINC [17] is a rule based middleware used to develop and deploy distributed applications. It has been used in several domains such as building automation [20][21][22] and wireless sensor networks [23][24][25].…”

Section: Linc Middlewarementioning

confidence: 99%

“…The framework is based on the combination of a rule based transactional middleware (LINC [17]) and a reactive language (Heptagon/BZR [18]). As shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design framework for reliable and environment aware management of smart environment devices

Sylla

Louvel

Rutten

2017

J Internet Serv Appl

Self Cite

View full text Add to dashboard Cite

A smart environment is equipped with numerous devices (i.e., sensors, actuators) that are possibly distributed over different locations (e.g., rooms of a smart building). These devices are automatically controlled to achieve different objectives related, for instance, to comfort, security and energy savings. Controlling smart environment devices is not an easy task. This is due to: the heterogeneity of devices, the inconsistencies that can result from communication errors or devices failure, and the conflicting decisions including those caused by environment dependencies. This paper proposes a design framework for the reliable and environment aware management of smart environment devices. The framework is based on the combination of the rule based middleware LINC and the automata based language Heptagon/BZR (H/BZR). It consists of: an abstraction layer for the heterogeneity of devices, a transactional execution mechanism to avoid inconsistencies and a controller that, based on a generic model of the environment, makes appropriate decisions and avoids conflicts. A case study with concrete devices, in the field of building automation, is presented to illustrate the framework.

show abstract

“…In addition to the core tools, add-on services provide site-specific services covering modeling and decision support (Figure 1b). LINC/RTU: At the lowest level, the building and data heterogeneity is hidden by LINC [1] and the RTU (ACE1000 Remote Terminal Unit) (https://www.motorolasolutions.com/en_us/products/ industrial-internet-of-things/scada/ace1000-rtu.html). LINC provides a universal abstraction layer based on tuple spaces.…”

Section: Topas Platformmentioning

confidence: 99%

TOPAs, an IoT Driven Framework for Energy Efficiency in Buildings

Lesecq

Louvel

Ploennigs

et al. 2017

The Sustainable Places 2017 (SP2017) Conference

Self Cite

View full text Add to dashboard Cite

Abstract:The energy consumption of buildings lies often far above the performance objectives of the design phase. This is due to several factors among other serious deficits in the energy operation of building services. TOPAs adopts the principle of continuous performance auditing by not only considering energy use but also knowledge and understanding of the buildings use and their climatic state. Thus it provides a holistic performance auditing process through supporting tools and methodologies that try to minimise the gap between predicted and actual energy use. TOPAs offers an open BMS (Building Management System) IoT driven framework. This framework is composed of core services to connect to any BMS and aggregate all the information in an open platform. Add-on services are also available to improve the understanding of buildings and reduce further the gap.

show abstract

LINC: A Compact Yet Powerful Coordination Environment

Cited by 21 publications

References 27 publications

SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways

SRE: Semantic Rules Engine for the Industrial Internet-Of-Things Gateways

Design framework for reliable and environment aware management of smart environment devices

TOPAs, an IoT Driven Framework for Energy Efficiency in Buildings

Contact Info

Product

Resources

About