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Soleimani, A., Davidsson, P., Malekian, R. & Spalazzese, R. (2025). Modeling hybrid energy systems integrating heat pumps and district heating: A systematic review. Energy and Buildings, 329, Article ID 115253.
Open this publication in new window or tab >>Modeling hybrid energy systems integrating heat pumps and district heating: A systematic review
2025 (English)In: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 329, article id 115253Article, review/survey (Refereed) Published
Abstract [en]

Given the environmental impact and cost-efficiency challenges of the conventional central District Heating (DH) systems, there is a shift towards hybrid solutions. The demand for small-scale Heat Pumps (HPs), integral components of these systems, has surged due to their electrically driven, cost-effective operation, and potential to meet environmental goals. This paper conducts a systematic literature review by investigating and highlighting hybrid heating solutions and their role in decarbonizing the built environment. It compares and discusses the potential benefits and challenges of various hybrid HP-DH systems against conventional DH-only heating approaches. The study evaluates these systems based on economic, environmental, and energy efficiency aspects, and it explores the use of intelligent and AI-based algorithms. The results indicate that, from an economic perspective, the hybrid approach can potentially offer cost savings over the long term, considering factors such as initial investment and operating expenses. The findings of the reviewed works suggest that in a DH-HP configuration, an operational cost saving between 5% and 27%, and a CO2 reduction of up to 32.3% can be achieved without additional resources. Additionally, the environmental impact analysis indicates a significant decrease in greenhouse gas emissions, aligning with global efforts to mitigate global warming.

Place, publisher, year, edition, pages
Elsevier, 2025
Keywords
District heating, Heat pump, Hybrid energy system, Systematic literature review, Optimization, Building integrated, Artificial intelligence
National Category
Energy Engineering
Identifiers
urn:nbn:se:mau:diva-73328 (URN)10.1016/j.enbuild.2024.115253 (DOI)001399280600001 ()2-s2.0-85214089839 (Scopus ID)
Available from: 2025-01-27 Created: 2025-01-27 Last updated: 2025-01-27Bibliographically approved
Khadam, U., Davidsson, P. & Spalazzese, R. (2024). Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systematic Mapping Study. Sensors, 24(20), Article ID 6511.
Open this publication in new window or tab >>Exploring the Role of Artificial Intelligence in Internet of Things Systems: A Systematic Mapping Study
2024 (English)In: Sensors, E-ISSN 1424-8220, Vol. 24, no 20, article id 6511Article, review/survey (Refereed) Published
Abstract [en]

The use of Artificial Intelligence (AI) in Internet of Things (IoT) systems has gained significant attention due to its potential to improve efficiency, functionality and decision-making. To further advance research and practical implementation, it is crucial to better understand the specific roles of AI in IoT systems and identify the key application domains. In this article we aim to identify the different roles of AI in IoT systems and the application domains where AI is used most significantly. We have conducted a systematic mapping study using multiple databases, i.e., Scopus, ACM Digital Library, IEEE Xplore and Wiley Online. Eighty-one relevant survey articles were selected after applying the selection criteria and then analyzed to extract the key information. As a result, six general tasks of AI in IoT systems were identified: pattern recognition, decision support, decision-making and acting, prediction, data management and human interaction. Moreover, 15 subtasks were identified, as well as 13 application domains, where healthcare was the most frequent. We conclude that there are several important tasks that AI can perform in IoT systems, improving efficiency, security and functionality across many important application domains.

Place, publisher, year, edition, pages
MDPI, 2024
Keywords
artificial intelligence, AI, internet of things, IoT, systematic mapping, machine learning, ML
National Category
Computer Sciences
Identifiers
urn:nbn:se:mau:diva-72028 (URN)10.3390/s24206511 (DOI)001341432200001 ()39459993 (PubMedID)2-s2.0-85207404065 (Scopus ID)
Available from: 2024-11-08 Created: 2024-11-08 Last updated: 2024-11-08Bibliographically approved
Reddy, Y. R., Medvidović, N., Spalazzese, R. & Koziolek, H. (2024). Message from the ICSA 2024 General Chairs and Program Chairs. In: 2024 IEEE 21st International Conference on Software Architecture (ICSA): . Paper presented at 2024 IEEE 21st International Conference on Software Architecture (ICSA), Hyderabad, India, 04-08 June 2024 (pp. 1-3). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Message from the ICSA 2024 General Chairs and Program Chairs
2024 (English)In: 2024 IEEE 21st International Conference on Software Architecture (ICSA), Institute of Electrical and Electronics Engineers (IEEE), 2024, p. 1-3Conference paper, Published paper (Other academic)
Abstract [en]

The IEEE International Conference on Software Architecture (ICSA) is the premier gathering of practitioners and researchers interested in software architecture, component-based software engineering, and quality aspects of complex software systems. The 21st IEEE International Conference on Software Architecture (ICSA 2024) continued the tradition of a working conference, where attendees met and where software architects were able to explain the challenges they face and try to influence the future of the field. Interactive working sessions were the place where researchers met practitioners to identify opportunities to shape the future of our field.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024
Series
Proceedings of the Working IEEE/IFIP Conference on Software Architecture, ISSN 2835-4907, E-ISSN 2835-7043
National Category
Software Engineering
Identifiers
urn:nbn:se:mau:diva-72210 (URN)10.1109/icsa59870.2024.00005 (DOI)2-s2.0-85201060831 (Scopus ID)979-8-3503-5916-9 (ISBN)979-8-3503-5917-6 (ISBN)
Conference
2024 IEEE 21st International Conference on Software Architecture (ICSA), Hyderabad, India, 04-08 June 2024
Available from: 2024-11-14 Created: 2024-11-14 Last updated: 2024-11-14Bibliographically approved
Tekinerdoğan, B., Spalazzese, R., Sözer, H., Bonfanti, S. & Weyns, D. (Eds.). (2024). Software Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium: Istanbul, Turkey, September 18–22, 2023, Revised Selected Papers. Paper presented at 17th European Conference, ECSA 2023, Istanbul, Turkey, September 18–22, 2023. Springer
Open this publication in new window or tab >>Software Architecture. ECSA 2023 Tracks, Workshops, and Doctoral Symposium: Istanbul, Turkey, September 18–22, 2023, Revised Selected Papers
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2024 (English)Conference proceedings (editor) (Refereed)
Abstract [en]

This book constitutes the refereed proceedings of the tracks and workshops which complemented the 17th European Conference on Software Architecture, ECSA 2023, held in Istanbul, Turkey, in September 2023.

The 29 full papers included in this book were carefully reviewed and selected from 32 submissions. They were organized in topical sections as follows: AMP; CASA; DE & I Track; DeMeSSA; FAACS; QUALIFIER; TwinArch; Tools and Demos; Industry Track; and Doctoral Symposium.

Place, publisher, year, edition, pages
Springer, 2024. p. 490
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 4590
National Category
Software Engineering
Identifiers
urn:nbn:se:mau:diva-72200 (URN)10.1007/978-3-031-66326-0 (DOI)978-3-031-66325-3 (ISBN)978-3-031-66326-0 (ISBN)
Conference
17th European Conference, ECSA 2023, Istanbul, Turkey, September 18–22, 2023
Available from: 2024-11-14 Created: 2024-11-14 Last updated: 2024-11-14Bibliographically approved
Alkhabbas, F., Alawadi, S., Ayyad, M., Spalazzese, R. & Davidsson, P. (2023). ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT. In: 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC): . Paper presented at 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC), Tartu, Estonia, 18-20 September 2023. Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>ART4FL: An Agent-Based Architectural Approach for Trustworthy Federated Learning in the IoT
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2023 (English)In: 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC), Institute of Electrical and Electronics Engineers (IEEE), 2023Conference paper, Published paper (Refereed)
Abstract [en]

The integration of the Internet of Things (IoT) and Machine Learning (ML) technologies has opened up for the development of novel types of systems and services. Federated Learning (FL) has enabled the systems to collaboratively train their ML models while preserving the privacy of the data collected by their IoT devices and objects. Several FL frameworks have been developed, however, they do not enable FL in open, distributed, and heterogeneous IoT environments. Specifically, they do not support systems that collect similar data to dynamically discover each other, communicate, and negotiate about the training terms (e.g., accuracy, communication latency, and cost). Towards bridging this gap, we propose ART4FL, an end-to-end framework that enables FL in open IoT settings. The framework enables systems' users to configure agents that participate in FL on their behalf. Those agents negotiate and make commitments (i.e., contractual agreements) to dynamically form federations. To perform FL, the framework deploys the needed services dynamically, monitors the training rounds, and calculates agents' trust scores based on the established commitments. ART4FL exploits a blockchain network to maintain the trust scores, and it provides those scores to negotiating agents' during the federations' formation phase.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2023
National Category
Computer Systems
Identifiers
urn:nbn:se:mau:diva-63749 (URN)10.1109/fmec59375.2023.10306036 (DOI)001103180200036 ()2-s2.0-85179515213 (Scopus ID)979-8-3503-1697-1 (ISBN)979-8-3503-1698-8 (ISBN)
Conference
2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC), Tartu, Estonia, 18-20 September 2023
Available from: 2023-11-20 Created: 2023-11-20 Last updated: 2024-09-03Bibliographically approved
Spalazzese, R., De Sanctis, M., Alkhabbas, F. & Davidsson, P. (2023). Shaping IoT Systems Together: The User-System Mixed-Initiative Paradigm and Its Challenges. In: Bedir Tekinerdogan, Catia Trubiani, Chouki Tibermacine, Patrizia Scandurra, Carlos E. Cuesta (Ed.), Software Architecture: 17th European Conference, ECSA 2023, Istanbul, Turkey, September 18–22, 2023, Proceedings. Paper presented at 17th European Conference, ECSA 2023, Istanbul, Turkey, September 18–22, 2023 (pp. 221-229). Springer
Open this publication in new window or tab >>Shaping IoT Systems Together: The User-System Mixed-Initiative Paradigm and Its Challenges
2023 (English)In: Software Architecture: 17th European Conference, ECSA 2023, Istanbul, Turkey, September 18–22, 2023, Proceedings / [ed] Bedir Tekinerdogan, Catia Trubiani, Chouki Tibermacine, Patrizia Scandurra, Carlos E. Cuesta, Springer, 2023, p. 221-229Conference paper, Published paper (Refereed)
Abstract [en]

Internet of Things (IoT) systems are often complex and have to deal with many challenges at the same time, both from a human and technical perspective. In this vision paper, we (i) describe IoT-Together , the Mixed-initiative Paradigm that we devise for IoT user-system collaboration and (ii) critically analyze related architectural challenges.

Place, publisher, year, edition, pages
Springer, 2023
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349 ; 14212
Keywords
Mixed-initiative paradigm, User-System Collaboration, Intelligent IoT Systems, Novel Experiences, Goal-driven IoT Systems
National Category
Computer Sciences
Identifiers
urn:nbn:se:mau:diva-64271 (URN)10.1007/978-3-031-42592-9_15 (DOI)001310754200015 ()2-s2.0-85172136763 (Scopus ID)978-3-031-42591-2 (ISBN)978-3-031-42592-9 (ISBN)
Conference
17th European Conference, ECSA 2023, Istanbul, Turkey, September 18–22, 2023
Available from: 2023-12-12 Created: 2023-12-12 Last updated: 2024-11-08Bibliographically approved
Alkhabbas, F., De Sanctis, M., Bucchiarone, A., Cicchetti, A., Spalazzese, R., Davidsson, P. & Iovino, L. (2022). ROUTE: A Framework for Customizable Smart Mobility Planners. In: IEEE 19TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE (ICSA 2022): . Paper presented at 19th IEEE International Conference on Software Architecture (ICSA), MAR 12-15, 2022, Honolulu, HI, USA (pp. 169-179). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>ROUTE: A Framework for Customizable Smart Mobility Planners
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2022 (English)In: IEEE 19TH INTERNATIONAL CONFERENCE ON SOFTWARE ARCHITECTURE (ICSA 2022), Institute of Electrical and Electronics Engineers (IEEE), 2022, p. 169-179Conference paper, Published paper (Refereed)
Abstract [en]

Multimodal journey planners are used worldwide to support travelers in planning and executing their journeys. Generated travel plans usually involve local mobility service providers, consider some travelers' preferences, and provide travelers information about the routes' current status and expected delays. However, those planners cannot fully consider the special situations of individual cities when providing travel planning services. Specifically, authorities of different cities might define customizable regulations or constraints of movements in the cities (e.g., due to construction works or pandemics). Moreover, with the transformation of traditional cities into smart cities, travel planners could leverage advanced monitoring features. Finally, most planners do not consider relevant information impacting travel plans, for instance, information that might be provided by travelers (e.g., a crowded square) or by mobility service providers (e.g., changing the timetable of a bus). To address the aforementioned shortcomings, in this paper, we propose ROUTE, a framework for customizable smart mobility planners that better serve the needs of travelers, local authorities, and mobility service providers in the dynamic ecosystem of smart cities. ROUTE is composed of an architecture, a process, and a prototype developed to validate the feasibility of the framework. Experiments' results show that the framework scales well in both centralized and distributed deployment settings.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2022
Keywords
Multimodal Journey Planners, Software Framework, Multi-tier Architecture, Smart Mobility
National Category
Software Engineering
Identifiers
urn:nbn:se:mau:diva-55117 (URN)10.1109/ICSA53651.2022.00024 (DOI)000838691200016 ()2-s2.0-85132012974 (Scopus ID)978-1-6654-1728-0 (ISBN)978-1-6654-1729-7 (ISBN)
Conference
19th IEEE International Conference on Software Architecture (ICSA), MAR 12-15, 2022, Honolulu, HI, USA
Available from: 2022-09-23 Created: 2022-09-23 Last updated: 2024-01-11Bibliographically approved
Alkhabbas, F., Spalazzese, R. & Davidsson, P. (2021). Human-Centric Emergent Configurations: Supporting the User Through Self-configuring IoT Systems. In: Hasan Ayaz; Umer Asgher; Lucas Paletta (Ed.), Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA. Paper presented at AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA (pp. 411-418). Springer
Open this publication in new window or tab >>Human-Centric Emergent Configurations: Supporting the User Through Self-configuring IoT Systems
2021 (English)In: Advances in Neuroergonomics and Cognitive Engineering: Proceedings of the AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA / [ed] Hasan Ayaz; Umer Asgher; Lucas Paletta, Springer, 2021, p. 411-418Conference paper, Published paper (Refereed)
Abstract [en]

The Internet of Things (IoT) is revolutionizing our environments with novel types of services and applications by exploiting the large number of diverse connected things. One of the main challenges in the IoT is to engineer systems to support human users to achieve their goals in dynamic and uncertain environments. For instance, the mobility of both users and devices makes it infeasible to always foresee the available things in the users’ current environments. Moreover, users’ activities and/or goals might change suddenly. To support users in such environments, we developed an initial approach that exploits the notion of Emergent Configurations (ECs) and mixed initiative techniques to engineer self-configuring IoT systems. An EC is a goal-driven IoT system composed of a dynamic set of temporarily connecting and cooperating things. ECs are more flexible and usable than IoT systems whose constituents and interfaces are fully specified at design time

Place, publisher, year, edition, pages
Springer, 2021
Series
Lecture Notes in Networks and Systems, ISSN 2367-3370, E-ISSN 2367-3389 ; 259
Keywords
Dynamic generation of user interfaces, Human-centric emergent configurations, Internet of Things
National Category
Information Systems, Social aspects
Identifiers
urn:nbn:se:mau:diva-45120 (URN)10.1007/978-3-030-80285-1_48 (DOI)2-s2.0-85112111445 (Scopus ID)9783030802844 (ISBN)
Conference
AHFE 2021 Virtual Conferences on Neuroergonomics and Cognitive Engineering, Industrial Cognitive Ergonomics and Engineering Psychology, and Cognitive Computing and Internet of Things, July 25-29, 2021, USA
Available from: 2021-08-23 Created: 2021-08-23 Last updated: 2023-12-28Bibliographically approved
Becker, S., Camara, J., Challita, S., Fehling, C., Jansen, A., Kopp, O., . . . Trubiani, C. (2021). Message from the SAIP, NEMI, ECRF, Journal First, and Workshops Track Chairs. Paper presented at 18th IEEE International Conference on Software Architecture (ICSA 2021), 22-26 March 2021, Stuttgart, Germany. Proc. - IEEE Int. Conf. Softw. Archit. Companion, ICSA-C, 18, x-xi, Article ID 9425850.
Open this publication in new window or tab >>Message from the SAIP, NEMI, ECRF, Journal First, and Workshops Track Chairs
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2021 (English)In: Proc. - IEEE Int. Conf. Softw. Archit. Companion, ICSA-C, Vol. 18, p. x-xi, article id 9425850Article in journal, Editorial material (Other academic) Published
Abstract [en]

The 18th IEEE International Conference on Software Architecture (ICSA 2021) solicited different types of submissions structured into the following tracks: The main Technical Track (included in the ICSA main proceedings), the Software Architecture in Practice (SAIP) track, the New and Emerging Ideas (NEMI) track, the Early Career Researchers Forum (ECRF), the Journal First track, and the Workshop track (included in the companion volume of ICSA 2021 proceedings). Each of these tracks, except for the Technical Track, is presented in the following sections. © 2021 IEEE.

Place, publisher, year, edition, pages
IEEE, 2021
National Category
Computer Sciences
Identifiers
urn:nbn:se:mau:diva-44134 (URN)10.1109/ICSA-C52384.2021.00006 (DOI)2-s2.0-85106629685 (Scopus ID)
Conference
18th IEEE International Conference on Software Architecture (ICSA 2021), 22-26 March 2021, Stuttgart, Germany
Available from: 2021-06-23 Created: 2021-06-23 Last updated: 2024-06-17Bibliographically approved
Ashouri, M., Davidsson, P. & Spalazzese, R. (2021). Quality attributes in edge computing for the Internet of Things: A systematic mapping study. Internet of Things: Engineering Cyber Physical Human Systems, 13, Article ID 100346.
Open this publication in new window or tab >>Quality attributes in edge computing for the Internet of Things: A systematic mapping study
2021 (English)In: Internet of Things: Engineering Cyber Physical Human Systems, E-ISSN 2542-6605, Vol. 13, article id 100346Article in journal (Refereed) Published
Abstract [en]

Many Internet of Things (IoT) systems generate a massive amount of data needing to be processed and stored efficiently. Cloud computing solutions are often used to handle these tasks. However, the increasing availability of computational resources close to the edge has prompted the idea of using these for distributed computing and storage. Edge computing may help to improve IoT systems regarding important quality attributes like latency, energy consumption, privacy, and bandwidth utilization. However, deciding where to deploy the various application components is not a straightforward task. This is largely due to the trade-offs between the quality attributes relevant for the application. We have performed a systematic mapping study of 98 articles to investigate which quality attributes have been used in the literature for assessing IoT systems using edge computing. The analysis shows that time behavior and resource utilization are the most frequently used quality attributes; further, response time, turnaround time, and energy consumption are the most used metrics for quantifying these quality attributes. Moreover, simulation is the main tool used for the assessments, and the studied trade-offs are mainly between only two qualities. Finally, we identified a number of research gaps that need further study.

Place, publisher, year, edition, pages
Elsevier, 2021
Keywords
Internet of Things, Edge computing, Quality attributes, Metrics, Systematic mapping study
National Category
Computer Systems Communication Systems Embedded Systems
Identifiers
urn:nbn:se:mau:diva-39120 (URN)10.1016/j.iot.2020.100346 (DOI)000695695700015 ()2-s2.0-85106740791 (Scopus ID)
Available from: 2021-01-13 Created: 2021-01-13 Last updated: 2024-02-05Bibliographically approved
Projects
Internet of Things and People Research Profile; Malmö University; Publications
Banda, L., Mjumo, M. & Mekuria, F. (2022). Business Models for 5G and Future Mobile Network Operators. In: 2022 IEEE Future Networks World Forum (FNWF): . Paper presented at IEEE Future Networks World Forum FNWF 2022, Montreal, QC, Canada, 10-14 October 2022. IEEE, Article ID M17754.
Emergent Configurations for IoT Systems – ECOS+; Malmö UniversityInternet of Things Master's Program; Malmö UniversityHuman-environment interaction in the Internet of Things ecosystems: Design of a connected energy management system in smart buildings for sustainability; Malmö University, Internet of Things and People (IOTAP) (Closed down 2024-12-31)
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-0326-0556

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