Fog computing for the integration of agents and web services in an autonomic reflexive middleware

Sánchez, María Dolores Prieto; Aguilar, José; Expósito, Ernesto

doi:10.1007/s11761-018-0238-0

Cited by 10 publications

(9 citation statements)

References 31 publications

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“…The critical aspect of the solution provided by Sánchez, Aguilar, and Exposito (2018b) is the incorporation of an SOA-MAS communication sub-system, which is in charge of transforming messages from web services to a language that agents can understand, such as FIPA-ACL, and vice versa. Also, in Sanchez, Aguilar, and Exposito (2018a), the fog computing paradigm was added to the solution proposed in Sánchez, Aguilar, and Exposito (2018b), to avoid the issues of the cloud computing-based solutions. In that sense, in Sanchez, Aguilar, and Exposito (2018a), the authors combine the fog-computing paradigm with the MAS-SOA integration sub-system in order to solve issues of geolocation, real-time, and low-latency.…”

Section: Communicationmentioning

confidence: 99%

Industry 4.0: survey from a system integration perspective

Sánchez

Expósito

Aguilar

2020

International Journal of Computer Integrated Manufacturing

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In recent years, a revolution named Industry 4.0 has arisen. Industry 4.0 is presented as the integration of new advances in areas such as Cyber-Physical Systems, the Internet of Things and Everything (IoE), Cloud computing, the Internet of Services, Big Data Analysis, Smart Factories, Augmented Reality, among others. Industry 4.0 is not only a new industrial revolution, but also a crucial integration challenge that involves several actors from the IoE, which are people, data, services, and things. This paper proposes an approach to analyze the integration challenges in the context of Industry 4.0 using five integration levels, which are connection, communication, coordination, cooperation, and collaboration (5 C). In that sense, this paper presents a state of the art of recent studies in Industry 4.0 from an integration perspective, categorized according to the 5 C integration levels versus the four actors of IoE. Specifically, this paper considers several works intended to solve problems of autonomic integration in Industry 4.0 at the highest levels of the 5 C integration stack (coordination, cooperation, and collaboration). Also, this paper presents a case study from an integration perspective, which contemplates autonomy, self-organizing, among other aspects, in order to turn a traditional industry into a smart factory regarding the Industry 4.0 concept.

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Section: Communicationmentioning

confidence: 99%

Industry 4.0: survey from a system integration perspective

Sánchez

Expósito

Aguilar

2020

International Journal of Computer Integrated Manufacturing

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“…The Integration Layer enhances the technical interoperability by defining the infrastructure and protocols necessary for the communication of the actors. Some previous works in this domain are (Burns et al, 2019;Liao et al, 2017;Liu et al, 2014;Sanchez et al, 2018aSanchez et al, , 2018b.…”

Section: Proposed Autonomic Integration Framework (Aifi 40)mentioning

confidence: 99%

Implementing self-* autonomic properties in self-coordinated manufacturing processes for the Industry 4.0 context

Sánchez¹,

Expósito²,

Aguilar³

2020

Computers in Industry

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“…Authors in [30] propose a middleware that allows taking advantage of the capabilities of both paradigms, while overcoming typical problems of cloudbased systems, such as low latency, real-time, geo-distribution. Moreover, multi-cloud deployments have been also proposed as a solution to such issues [31,32,33].…”

Section: Related Workmentioning

confidence: 99%

Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility

Peralta

Garrido

Bilbao

et al. 2020

Simulation Modelling Practice and Theory

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Industry 4.0 applications foster new business opportunities, but they also pose new and challenging requirements, such as low latency communications and highly reliable systems. They would likely exploit novel wireless technologies (5G), but it would also become crucial using architectures that appropriately support them. In this sense, the combination of fog and cloud computing represents a potential solution, since it can dynamically allocate the workload depending on the specific needs of each application. In this paper, our main goal is to provide a highly reliable and dynamic architecture, which minimizes the time that an end node or user, spends in downloading the required data. In order to achieve this, we have developed an optimal distribution algorithm that decides the amount of information that should be stored at, or retrieved from, each node, to minimize the overall data download time. Our scheme is based on various parameters and it exploits Network Coding (NC) as a tool for data distribution, as a key enabler of the proposed solution. We compare the performance of the proposed scheme with other alternative solutions, and the results show that there is a clear gain in terms of the download time.

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Fog computing for the integration of agents and web services in an autonomic reflexive middleware

Cited by 10 publications

References 31 publications

Industry 4.0: survey from a system integration perspective

Industry 4.0: survey from a system integration perspective

Implementing self-* autonomic properties in self-coordinated manufacturing processes for the Industry 4.0 context

Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility

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