Literature Review on Cloud-Based Service-Oriented Architecture for

IEC 61499 Distributed Control Systems

Tom

as Torres

, Gil Gonc¸alves

2 a

and Rui Pinto

2 b

Department of Informatics Engineering, Faculty of Engineering, University of Porto, Porto, Portugal

SYSTEC, ARISE, Faculty of Engineering, University of Porto, Porto, Portugal

Keywords:

Cloud Computing, IEC 61499, Service-Oriented Architecture, Cyber-Physical Production Systems.

Abstract:

The 4

Industrial Revolution has driven innovations in integrating Information Technologies (IT) with Op-

erations Technologies (OT). This integration is essential for developing Cyber-Physical Production Systems

(CPPS), which enhance distributed automation and optimize industrial production processes. The IEC 61499

standard facilitates this integration through its modularity, reusability, and interoperability, making it cru-

cial for distributed control and system automation. Despite its advantages, IEC 61499’s application is pre-

dominantly at the Edge layer, limiting its functionality in higher layers such as the Cloud. To address this

gap, Cloud-based Service-Oriented Architectures (SoA) have emerged as a key study area, offering modular,

reusable, and scalable services extending beyond the Edge layer. This paper presents a comprehensive lit-

erature review focused on expanding the IEC 61499 applications to reconﬁgure CPPS, by integrating Cloud

layer services through SoA. The review highlights advancements, challenges, and future directions in achiev-

ing greater modularity, interoperability, scalability, and abstraction within distributed control systems. By

synthesizing current research, this work provides insights into the potential enhancements of CPPS using a

Cloud-based SoA approach.

1 INTRODUCTION

The 4

Industrial Revolution, or Industry 4.0, has

revolutionized manufacturing by integrating digital

technologies into production systems. At its core,

Cyber-Physical Production Systems (CPPS) (Lins

and Oliveira, 2020) enable seamless interaction be-

tween physical and digital components, driving au-

tomation and optimization in industrial processes.

The IEC 61499 standard (Vyatkin, 2011) has emerged

as a foundational framework for distributed control in

CPPS, offering modularity, scalability, and interop-

erability at the Edge layer. However, its application

remains limited to Edge-layer operations, hindering

advanced functionalities like large-scale analytics and

Cloud-based machine learning.

With the development of Industry 4.0, the connec-

tion between the various layers of the system has been

an aspect to be explored through CPPS using inter-

connection between the multiple layers present in a

system. This interconnection results in greater pro-

https://orcid.org/0000-0001-7757-7308

https://orcid.org/0000-0002-0345-1208

ductivity and speed, improving both decision-making

and data collection. Figure 1 shows this structure with

the 3 main layers and their interconnectivity.

In this structure, the connections between the de-

vices in the Edge layer collect physical information,

update status, and share this information with upper

layers.

While IEC 61499 has advanced CPPS by en-

abling modular and scalable control systems at the

Edge layer, its application is limited when expand-

ing to the Cloud layer, where more complex data

management and processing capabilities are essen-

tial. Service-Oriented Architecture (SoA) (Dai et al.,

2014; Siqueira and Davis, 2021) has gained promi-

nence as a cloud-centric paradigm to address the lim-

itation of only Edge-layer operations. By leverag-

ing SoA’s modularity and scalability, CPPS can ex-

tend beyond the Edge, enabling comprehensive sys-

tem management across Edge and Cloud layers. This

integration promises to enhance system ﬂexibility,

improve interoperability, and enable dynamic recon-

ﬁguration to meet Industry 4.0 demands.

This paper presents a comprehensive literature re-

view to investigate existing approaches for integrating

174

Torres, T., Gonçalves, G. and Pinto, R.

Literature Review on Cloud-Based Service-Oriented Architecture for IEC 61499 Distributed Control Systems.

DOI: 10.5220/0013293400003950

Paper published under CC license (CC BY-NC-ND 4.0)

In Proceedings of the 15th International Conference on Cloud Computing and Services Science (CLOSER 2025), pages 174-181

ISBN: 978-989-758-747-4; ISSN: 2184-5042

Figure 1: The main Industry 4.0 layers and their interconnection (Siqueira and Davis, 2021).

SoA with IEC 61499, aiming to address the following

objectives:

• Identifying the potential of combining SoA with

IEC 61499 in CPPS.

• Analyzing existing frameworks and case studies.

• Proposing strategies to address gaps in scalability,

real-time performance, and data synchronization.

This paper is organized to comprehensively ex-

plore the integration of SoA with IEC 61499 for dis-

tributed control systems. Following this introduction,

Section 2 provides a theoretical framework and de-

scribes the key concepts of IEC 61499 and SoA, es-

tablishing the foundations for understanding their ap-

plication within Industry 4.0. Section 3 presents a lit-

erature review, including the methodology, an anal-

ysis of IEC 61499 in distributed control, SoA prin-

ciples for Cloud integration, and existing approaches

for merging the two frameworks. Section 4 offers a

discussion, synthesizing insights from the literature,

identifying research gaps, and proposing future direc-

tions. Finally, Section 5 concludes the paper, summa-

rizing the main ﬁndings and discussing implications

for research and practice in the design of scalable,

modular CPPS with integrated Cloud capabilities.

2 THEORETICAL FRAMEWORK

This section establishes the foundational concepts of

IEC 61499 and SoA, essential for understanding their

integration within CPPS to address Industry 4.0 chal-

lenges.

2.1 IEC 61499 Standard for Distributed

Control

IEC 61499 is a standard for modular, event-driven

control in distributed systems, employing Function

Blocks (FBs) (Christensen et al., 2012; Lyu and Bren-

nan, 2021) for reusability and scalability. Its de-

centralized approach supports real-time control at the

Edge layer, enhancing ﬂexibility in dynamic environ-

ments. However, its focus on Edge-layer operations

limits advanced functionalities like large-scale analyt-

ics and machine learning, underscoring the need for

cloud integration. Figure 2 exempliﬁes the architec-

ture of an FB.

Figure 2: A Function Block structure (Christensen et al.,

2012).

These FBs encapsulate logic and data in a mod-

Literature Review on Cloud-Based Service-Oriented Architecture for IEC 61499 Distributed Control Systems

175

ular format, allowing for reusability, portability, and

scalability in complex systems. FBs can operate in-

dependently or be composed to form larger systems,

enabling ﬂexible and responsive control architectures

suited to dynamic production environments typical of

Industry 4.0.

IEC 61499 is especially advantageous for CPPS as

it allows for real-time responses and improved inter-

operability between devices at the Edge layer. How-

ever, the standard’s primary limitation is its conﬁne-

ment to Edge-layer operations, which restricts the

scope for high-level data processing, scalability, and

Cloud integration. Consequently, the full potential

of CPPS cannot be achieved without an architectural

framework that extends beyond the Edge, supporting

advanced data analytics, storage, and processing in

the Cloud layer.

2.2 SoA for Cloud Integration

SoA (Niknejad et al., 2020; Dai et al., 2016) orga-

nizes software into modular, loosely coupled services,

enabling scalability, interoperability, and adaptabil-

ity. In CPPS, SoA extends system capabilities to the

Cloud, facilitating advanced analytics and real-time

monitoring. According to (Siqueira and Davis, 2021),

key SoA principles such as loose coupling, compos-

ability, autonomy, abstraction, and discoverability are

central to enabling dynamic and scalable architec-

tures suitable for CPPS, allowing seamless integration

of diverse systems and third-party services, as repre-

sented in Figure3.

Figure 3: Service-oriented Architecture main princi-

ples (Dai et al., 2014).

By bridging IEC 61499’s real-time capabilities

with SoA’s modularity and scalability, a holistic CPPS

framework can emerge, addressing Industry 4.0’s de-

mands for smart and interconnected manufacturing

systems. Despite its advantages, integrating SoA with

IEC 61499 introduces challenges in maintaining real-

time performance and consistent data synchroniza-

tion.

3 REVIEW OF THE LITERATURE

This section provides an analysis of relevant literature

focused on the integration of IEC 61499 with SoA in

distributed control systems. The review is organized

by thematic areas to capture various approaches and

insights that contribute to the development of scal-

able, modular, and interoperable CPPS.

3.1 Literature Review Methodology

Regarding the search strategy, the review utilized

main academic databases, namely IEEE Xplore, Sci-

enceDirect, SpringerLink, ACM Digital Library, and

Scopus, with the following initial query: [(”service-

oriented architecture” OR ”soa”) AND ”iec 61499”].

This query ensures the inclusion of articles cover-

ing the two main scopes of the study’s topic. Sub-

sequently, to achieve greater thematic precision, the

following query was used: [”cloud” AND (”cyber-

physical production systems” OR ”cpps”)].

As a result, a limited number of studies were

found, with approximately 344 articles identiﬁed in

Scopus (the database that returned the largest num-

ber of studies) narrowed down to just 45 after adding

additional queries. The full list of exclusion criteria

follows:

• Not focused on integrating IEC 61499 with SoA.

• Lacked technical relevance or depth in solution

proposal.

• Published before 2010.

• Do not address CPPS or distributed control sys-

tems.

• Do not present frameworks, case studies, or theo-

retical insights relevant to modularity, scalability,

and interoperability in CPPS.

This approach allowed the synthesis of techno-

logical gaps, challenges, and possible directions for

further study. Finally, the resulting works were col-

lected and analyzed to conduct an initial assessment

of the topic. Considering the number of articles iden-

tiﬁed, no highly rigorous methodology was applied,

other than including more recent work (from 2010 on-

ward), given that the intersection of both SOA and

IEC 61499 topics is relatively new. Older articles

cited were primarily those explaining foundational

concepts of the technologies involved.

CLOSER 2025 - 15th International Conference on Cloud Computing and Services Science

176

3.2 Integrating IEC 61499 with SoA in

CPPS

Combining IEC 61499 with SoA introduces an ar-

chitectural approach that leverages the strengths of

both standards: the distributed control capabilities of

IEC 61499 at the Edge and the scalable, modular ser-

vice management of SoA in the Cloud. In this hy-

brid architecture, IEC 61499 manages real-time con-

trol and coordination at the Edge layer, while SoA fa-

cilitates Cloud-based services such as analytics, ma-

chine learning, and remote monitoring. The integra-

tion of IEC 61499 and SoA in CPPS offers multiple

advantages:

• Enhanced Modularity: By segmenting function-

alities into distinct, reusable services, the system

can adapt more readily to changes or extensions

in production requirements.

• Improved Interoperability: With SoA’s standard-

ized interfaces, CPPS components can more eas-

ily connect to external services and legacy sys-

tems.

• Scalability: Cloud-based services managed

through SoA can be added or removed as needed,

allowing the system to scale dynamically in re-

sponse to operational demands.

• Abstraction and Flexibility: SoA encapsulates

complex system functions as services, simplify-

ing system design, maintenance, and evolution.

However, integrating these standards also presents

challenges, particularly in achieving seamless com-

munication and data synchronization between the

Edge and Cloud layers, maintaining real-time perfor-

mance, and ensuring security and reliability in dis-

tributed environments.

This theoretical framework sets the foundation for

the literature review, which examines existing studies

and solutions that explore this integration and iden-

tiﬁes the gaps and opportunities for advancing CPPS

design through a combined IEC 61499 and SoA ap-

proach.

Numerous frameworks and approaches have been

proposed for integrating IEC 61499 with SoA. Next,

some of the prominent methods discussed in the liter-

ature are presented.

3.2.1 DINASORE Framework

DINASORE (DIGI2-FEUP, 2024; Pereira et al.,

2020) is a distributed platform that uses IEC 61499

for the reconﬁguration of CPPS. Developed in

Python, it utilizes 4DIAC (Strasser et al., 2008) and

the OPC-UA protocol (Veichtlbauer et al., 2017) to

create a modular and reconﬁgurable system architec-

ture. DINASORE enables real-time reconﬁguration

of FBs through a graphical user interface, allowing

for ﬂexible and adaptable control systems. However,

DINASORE currently operates primarily at the Edge

layer, which limits its application in cloud-based en-

vironments. Expanding DINASORE with SoA could

potentially enhance its scalability and allow for more

extensive integration with external systems, provid-

ing additional services such as machine learning and

advanced data analytics. Figure 4 demonstrates the

architecture of DINASORE.

3.2.2 IEC 61499 Distributed Control Enhanced

with Cloud-Based Web Services

(Demin et al., 2015) propose using NxtStudio (Deng,

2012) to model IEC 61499 control while leverag-

ing HTTP for SoA message exchange. In their case

study, a Pick-and-Place manipulator was integrated

with Cloud computing services, enabling distributed

data processing. The study demonstrated that inte-

grating IEC 61499 with SoA could facilitate scala-

bility and ease of maintenance in CPPS. However,

limitations in cloud deployment performance indicate

that further optimization is required to fully lever-

age cloud capabilities without compromising real-

time control.

3.2.3 Arrowhead Framework for IEC 61499

Integration

The Arrowhead framework (Varga et al., 2016) of-

fers a reference architecture based on SoA principles,

speciﬁcally designed to facilitate integration and in-

teroperability in IoT and CPPS environments. The

framework is represented in Figure 5.

(Derhamy et al., 2016) explored the application of

Arrowhead for orchestrating services in IEC 61499-

based systems. Their case study on a Festo MPS man-

ufacturing system (SE, 2024) that combines Arrow-

head’s orchestration and authorization systems with

IEC 61499 provides greater control and ﬂexibility. By

bridging protocols between the Edge and Cloud lay-

ers, Arrowhead enables dynamic service management

and enhances interoperability within distributed au-

tomation systems.

3.2.4 OPC UA and IEC 61499 Integration with

Arrowhead

(Cabral et al., 2020) examined an integration model

using OPC UA to enable seamless communication

between IEC 61499-based control systems and Ar-

rowhead’s core services. This approach demonstrated

Literature Review on Cloud-Based Service-Oriented Architecture for IEC 61499 Distributed Control Systems

177

Figure 4: DINASORE architecture with Function Blocks, 4DIAC and OPC-UA (Pereira et al., 2020).

how OPC UA servers could facilitate interoperability

by connecting Cloud-based services and Edge-level

control systems. In their case study, a trafﬁc light

management system was used to test the integration,

showing that this approach supports ﬂexible service

discovery and management. However, the study also

highlighted challenges in synchronizing data across

layers, particularly in real-time applications.

3.2.5 Manufacturing Service Bus as a

SoA-Based Integration Platform

The Manufacturing Service Bus (MSB) (Schel et al.,

2018) is an SoA-based integration platform that pro-

vides functionalities for reconﬁguration, loose cou-

pling, and asynchronous communication in produc-

tion environments. Developed as an Enterprise Ser-

vice Bus (ESB) for manufacturing, MSB supports

multiple communication standards such as RESTful

API, WebSocket API, OPC UA, and MQTT (Breunig

and G

otz, 2018). The modularity and protocol sup-

port offered by MSB makes it a promising solution

for integrating IEC 61499-based systems with cloud

services, especially in highly dynamic CPPS environ-

ments.

4 DISCUSSION

This section synthesizes the ﬁndings from the litera-

ture review, focusing on the potential and challenges

of integrating IEC 61499 with SoA in distributed con-

trol systems. The discussion is organized around key

themes, including modularity, interoperability, scala-

bility, and the real-time performance required for ef-

fective CPPS.

4.1 Synthesis of Findings

The literature reveals multiple approaches to integrat-

ing IEC 61499 with SoA, each contributing unique

CLOSER 2025 - 15th International Conference on Cloud Computing and Services Science

178

Figure 5: Arrowhead main Core Systems integrated with Systems of Systems (Varga et al., 2016).

solutions and insights, as represented in Table 1.

Modularity is a key beneﬁt of integrating IEC

61499 and SoA. IEC 61499’s function blocks enable

reusable, adaptable control logic at the Edge layer,

while SoA’s loosely coupled services enhance ﬂex-

ibility at the Cloud level. Frameworks like DINA-

SORE and Arrowhead demonstrate how modulariza-

tion improves system adaptability, simpliﬁes mainte-

nance, and supports independent updates and scaling.

Interoperability is another signiﬁcant advantage,

as protocols like OPC UA and frameworks such as Ar-

rowhead facilitate seamless communication through

service discovery, orchestration, and authorization

systems. However, consistent data exchange and pro-

tocol bridging remain challenges, particularly in het-

erogeneous environments.

SoA’s Cloud-based service management enhances

scalability, enabling systems to adjust dynamically to

shifting production demands and support more de-

vices and data streams without architectural over-

hauls. Frameworks like the Manufacturing Service

Bus (MSB) illustrate how SoA supports ﬂexibil-

ity through multi-protocol communication and asyn-

chronous models. Despite these advantages, ensur-

ing scalability without compromising real-time per-

formance or data synchronization remains a critical

challenge.

While frameworks like DINASORE and Arrow-

head highlight the potential of SoA for CPPS, they

also underscore the need for improved integration

strategies to balance modularity, scalability, and real-

time performance. Advancing these frameworks re-

quires addressing technical challenges in data consis-

tency, communication, and latency across Edge and

Cloud layers.

4.2 Identiﬁcation of Research Gaps

Despite the advances noted in the literature, several

research gaps remain in the integration of IEC 61499

with SoA for CPPS. Real-time performance is a sig-

niﬁcant challenge, as many Cloud-based SoA services

may not support the low-latency requirements of real-

time control systems. While IEC 61499 is designed

for event-driven, real-time operation at the Edge, ex-

tending this capability to the Cloud layer without

latency disruptions is a challenge. Future research

should investigate optimization techniques or hybrid

solutions that maintain real-time capabilities across

both Edge and Cloud layers.

Another notable gap is in security and data pri-

vacy. Although some frameworks, such as Arrow-

head, address aspects of authorization and secure

communication, a comprehensive security strategy

for CPPS that integrates both IEC 61499 and SoA is

still lacking. Given the sensitivity of industrial data,

especially in multi-vendor environments, future re-

search should address mechanisms for secure data ex-

change and robust authentication protocols across the

Edge and Cloud.

Data synchronization and consistency across lay-

ers also pose challenges, particularly in distributed

control systems that rely on continuous, real-time data

ﬂow. Several studies discuss protocol bridging (e.g.,

Literature Review on Cloud-Based Service-Oriented Architecture for IEC 61499 Distributed Control Systems

179

Table 1: Summary and Comparison of Literature Findings.

Study Framework Integration Focus

(Demin et al.,2015)

NxtStudio with IEC 61499

and SoA.

Cloud-based web services.

(Derhamy et al.,2016)

Arrowhead with IEC 61499. Orchestration and protocol bridging.

(Cabral et al.,2020)

OPC UA and IEC 61499

with Arrowhead.

Cloud-enabled service management.

(Breunig & G

otz,2018)

MSB with XML-RPC. Multi-layered communication.

(Varga et al.,2016)

Arrowhead core systems.

System of systems

for Cloud automation.

(Pereira et al.,2020)

DINASORE with IEC 61499. Real-time reconﬁguration of FBs.

OPC UA integration), but real-world implementations

often face issues with data lag or inconsistency when

operating across Edge and Cloud environments. De-

veloping more efﬁcient data handling and synchro-

nization methods could further enhance the reliability

of IEC 61499-SoA integrated systems.

4.3 Future Directions

Future research should focus on hybrid architectures

that seamlessly integrate Edge and Cloud capabilities.

Critical real-time processing can be ofﬂoaded to the

Edge layer, while non-time-sensitive tasks like ana-

lytics and machine learning are handled in the Cloud.

This approach retains IEC 61499’s low-latency ad-

vantages at the Edge while leveraging SoA’s scalabil-

ity and processing power in the Cloud.

Developing standardized interfaces and protocols

for interoperability between IEC 61499 and SoA is

another essential direction. Industry collaborations

can help establish standards for protocol bridging,

data formats, and communication models, enabling

efﬁcient and secure data exchange across heteroge-

neous CPPS devices and reducing integration com-

plexity.

Lastly, security must be prioritized in IEC 61499

and SoA integration. Frameworks with robust en-

cryption, authentication, and access control are crit-

ical for ensuring safe deployment in industrial envi-

ronments. Multi-layered security protocols can miti-

gate risks in distributed systems, particularly as they

scale into cloud environments.

5 CONCLUSIONS

This paper presents a comprehensive review of inte-

grating IEC 61499 with SoA in CPPS, a promising

approach to enhancing scalability, modularity, and in-

teroperability in Industry 4.0. The review examines

the foundational principles of IEC 61499 and SoA,

highlights their complementary strengths, and ana-

lyzes frameworks and case studies that illustrate the

beneﬁts of their integration for distributed control sys-

tems.

The ﬁndings demonstrate that combining IEC

61499 and SoA addresses key challenges in CPPS.

Reusable function blocks (FBs) enhance modular-

ity, while SoA’s scalable, loosely coupled architec-

ture enables ﬂexible Cloud-based services. This inte-

gration facilitates seamless communication between

CPPS components and external systems, allowing

distributed systems to adapt more effectively to dy-

namic industrial requirements.

Despite these advantages, several challenges re-

main. Real-time performance in Cloud-integrated

systems is a critical issue, as many SoA frameworks

are not optimized for the low-latency needs of real-

time applications. Additionally, security, data syn-

chronization, and standardized protocols require fur-

ther development to ensure secure and reliable inte-

gration of IEC 61499 and SoA across distributed sys-

tems.

In conclusion, this review underscores the trans-

formative potential of integrating IEC 61499 and

SoA for Industry 4.0 applications while outlining a

roadmap to overcome current limitations. Advanc-

ing these integrations will enable the development

of ﬂexible, scalable, and secure CPPS capable of

meeting modern industrial demands. Future research

should focus on hybrid architectures, robust security

frameworks, and efﬁcient data-handling mechanisms

to bridge the gap between Edge and Cloud layers, un-

locking the full potential of CPPS for smart manufac-

turing and beyond.

ACKNOWLEDGEMENTS

This work results from Agenda “GreenAuto:

Green innovation for the Automotive Industry”, nr.

C644867037-00000013, investment project nr. 54,

CLOSER 2025 - 15th International Conference on Cloud Computing and Services Science

180

ﬁnanced by the Recovery and Resilience Plan (PRR)

and by the European Union - NextGeneration EU.

REFERENCES

Breunig, D. and G

otz, B. (2018). Simultaneously acting

network layers in an iec 61499 modeling system at

the example of eclipse-4diac, the cloud-oriented msb

and xml-rpc. Procedia CIRP, 72:928–933.

Cabral, J., Dorofeev, K., and Varga, P. (2020). Native opc

ua handling and iec 61499 plc integration within the

arrowhead framework. In 2020 IEEE Conference on

Industrial Cyberphysical Systems (ICPS), volume 1,

pages 596–601.

Christensen, J., Strasser, T., Valentini, A., Vyatkin, V., and

Zoitl, A. (2012). The iec 61499 function block stan-

dard: Overview of the second edition.

Dai, W., Huang, W., and Vyatkin, V. (2016). Enabling plug-

and-play software components in industrial cyber-

physical systems by adopting service-oriented archi-

tecture paradigm. In IECON 2016 - 42nd Annual

Conference of the IEEE Industrial Electronics Soci-

ety, pages 5253–5258.

Dai, W. W., Vyatkin, V., and Christensen, J. H. (2014).

The application of service-oriented architectures in

distributed automation systems. In 2014 IEEE In-

ternational Conference on Robotics and Automation

(ICRA), pages 252–257.

Demin, E., Patil, S., Dubinin, V., and Vyatkin, V. (2015).

Iec 61499 distributed control enhanced with cloud-

based web-services. In 2015 IEEE 10th Conference

on Industrial Electronics and Applications (ICIEA),

pages 972–977.

Deng, Y. (2012). Applying IEC61499 for Building Manage-

ment System. PhD thesis, ResearchSpace@ Auckland.

Derhamy, H., Drozdov, D., Patil, S., van Deventer, J., Elias-

son, J., and Vyatkin, V. (2016). Orchestration of

arrowhead services using iec 61499: Distributed au-

tomation case study. In 2016 IEEE 21st International

Conference on Emerging Technologies and Factory

Automation (ETFA), pages 1–5.

DIGI2-FEUP (2024). Dinasore: Distributed industrial

automation and control system. https://github.com/

DIGI2-FEUP/dinasore. Accessed: 2024-11-16.

Lins, T. and Oliveira, R. A. R. (2020). Cyber-physical pro-

duction systems retroﬁtting in context of industry 4.0.

Computers & industrial engineering, 139:106193.

Lyu, G. and Brennan, R. W. (2021). Towards iec 61499-

based distributed intelligent automation: A literature

review. IEEE Transactions on Industrial Informatics,

17(4):2295–2306.

Niknejad, N., Ismail, W., Ghani, I., Nazari, B., Bahari,

M., and Hussin, A. R. B. C. (2020). Understanding

service-oriented architecture (soa): A systematic lit-

erature review and directions for further investigation.

Information Systems, 91:101491.

Pereira, E. M., dos Reis, J. P. C., and Gonc¸alves, G. (2020).

DINASORE: A Dynamic Intelligent Reconﬁguration

Tool for Cyber-Physical Production Systems. In SAM

IoT, pages 63–71.

Schel, D., Henkel, C., Stock, D., Meyer, O., Rauh

oft, G.,

Einberger, P., St

ohr, M., Daxer, M. A., and Seidel-

mann, J. (2018). Manufacturing service bus: An

implementation. Procedia CIRP, 67:179–184. 11th

CIRP Conference on Intelligent Computation in Man-

ufacturing Engineering, 19-21 July 2017, Gulf of

Naples, Italy.

SE, F. D. (2024). Didactic infoportal. [Online; accessed

2024-11-16].

Siqueira, F. and Davis, J. G. (2021). Service computing for

industry 4.0: State of the art, challenges, and research

opportunities. ACM Comput. Surv., 54(9).

Strasser, T., Rooker, M., Ebenhofer, G., Zoitl, A., Sun-

der, C., Valentini, A., and Martel, A. (2008). Frame-

work for distributed industrial automation and control

(4diac). In 2008 6th IEEE International Conference

on Industrial Informatics, pages 283–288.

Varga, P., Blomstedt, F., Ferreira, L., Eliasson, J., Johans-

son, M., Delsing, J., and Mart

ınez de Soria, I. (2016).

Making system of systems interoperable – the core

components of the arrowhead framework. Journal of

Network and Computer Applications, 81.

Veichtlbauer, A., Ortmayer, M., and Heistracher, T. (2017).

Opc ua integration for ﬁeld devices. In 2017 IEEE

15th International Conference on Industrial Informat-

ics (INDIN), pages 419–424.

Vyatkin, V. (2011). Iec 61499 as enabler of distributed and

intelligent automation: State-of-the-art review. IEEE

Transactions on Industrial Informatics, 7(4):768 –

781. Cited by: 325.

Literature Review on Cloud-Based Service-Oriented Architecture for IEC 61499 Distributed Control Systems

181