Microservices as Agents in IoT Systems

Krivic, Petar; Skočir, Pavle; Kušek, Mario; Jezic, Gordan

doi:10.1007/978-3-319-59394-4_3

Cited by 27 publications

(15 citation statements)

References 6 publications

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“…Ciavotta et al applied the microservices architectural approach to design simulation tools to support the manufacturing lifecycle in factories and for machine‐to‐machine (M2M) interactions. Another solution for M2M service management has been proposed by Krivic et al The authors presented an agent‐based solution based on microservices for establishing M2M bidirectional communication and thereby gain access to the services. While adopting the microservices approach for M2M systems, Namiot and Sneps‐Sneppe suggested that the system may be decomposed into microservices, by splitting across the use cases or by splitting considering the resource being accessed .…”

Section: Domain‐specific Microservice‐based Architecturesmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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Microservice architecture style has been gaining wide impetus in the software engineering industry. Researchers and practitioners have adopted the microservices concepts into several application domains such as the internet of things, cloud computing, service computing, and healthcare. Applications developed in alignment with the microservices principles require an underlying platform with management capabilities to coordinate the different microservice units and ensure that the application functionalities are delivered to the user. A multitude of approaches has been proposed for the various tasks in microservices-based systems. However, since the field is relatively young, there is a need to organize the different research works. In this study, we present a comprehensive review of the research approaches directed toward microservice architectures and propose a multilevel taxonomy to categorize the existing research. The study also discusses the different distributed computing paradigms employing microservices and identifies the open research challenges in the domain.

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Section: Domain‐specific Microservice‐based Architecturesmentioning

confidence: 99%

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Joseph

Chandrasekaran

2019

Softw Pract Exp

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“…This should also result in a better consistency and synchronisation between the various models representing the design time aspects (notably business) and runtime aspects of the CPPS [7]. • Then, from our models, automate (at least partially) the generation of different software components such as the target MAS in our present case or various software artifacts of the Application Layer in the context of a future DT at La Poste (e.g., micro-services directly implementing various features of the CPPS or micro-services that can be used as agents emulating components of the CPPS [16]). • Provide appropriate views to different stakeholders (e.g., business expert, DT architect, software engineer) over the set of possibly large and heterogeneous models resulting from our MPM approach or from the definition of the future DT at La Poste [8].…”

Section: Next Steps and Related Workmentioning

confidence: 99%

Towards a digital twin for cyber-physical production systems

Niati

Selma

Tamzalit

et al. 2020

Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems: Companion Proceedi

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This paper presents our early-stage research on a Multi-Paradigm Modeling (MPM) approach as an initial step towards the definition of a Digital Twin (DT) for Cyber-Physical Production Systems (CPPSs). This work takes place in the context of the digitalization of the mail sorting process at La Poste, the French national postal service company. Indeed, La Poste is currently investing on robotics modules for automatically loading mail containers. The main objective is to reduce the painful work for human operators while optimizing the robots usage. We already worked on targeting such a balance in a past effort that resulted in the production of different kinds of models of the La Poste CPPS. However, these models were defined separately and are not directly related to the underlying business process in particular. Thus, we propose an MPM approach starting from this business process as now modeled explicitly in a BPMN model. Then, we refine the high-level business activities into finer-grained activities represented in a UML Activity model. From these latest, we derive the specification of a Multi-Agent System (MAS) developed with the JADE framework and emulating the behavior of the La Poste CPPS. Our longer term objective is to pave the way for supporting the definition of a DT for this CPPS, and potentially for other CPPSs in different contexts in the future. CCS CONCEPTS • Software and its engineering → Design languages; Unified Modeling Language (UML); Software design engineering; • Computing methodologies → Agent / discrete models; • Computer systems organization → Robotic components.

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“…The containerized application functionality can be partitioned and easily distributed in the system, as each microservice can be developed with different technologies by different stakeholders and deployed independently. As in [15], microservices can be considered as agents.…”

Section: Mec As a Multi-agent Systemmentioning

confidence: 99%

“…The optimization of task assignment, with negotiating agents, between cloud and edge platforms is addressed in [5]. Lastly, in [15], collaborative microservices are modeled as a MAS for IoT.…”

Section: Introductionmentioning

confidence: 99%

Distributed Artificial Intelligence with Multi-Agent Systems for MEC

Leppänen

2019

2019 28th International Conference on Computer Communication and Networks (ICCCN)

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In this paper, the Multi-access Edge Computing (MEC) system architecture, as defined by the ETSI standards, is modeled as a multi-agent system. MEC system management services and application execution components are designed as software agents, facilitating distributed artificial intelligence capabilities in their operation and cooperation. Further, the integration of current agent technologies into the standardized MEC system is discussed. Lastly, a case study is presented on how to integrate an existing Internet of Things agent framework and agent-based edge application seamlessly to the MEC system.

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Microservices as Agents in IoT Systems

Cited by 27 publications

References 6 publications

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Straddling the crevasse: A review of microservice software architecture foundations and recent advancements

Towards a digital twin for cyber-physical production systems

Distributed Artificial Intelligence with Multi-Agent Systems for MEC

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