Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Goal driven Approach for Deploying Self-adaptive IoT Systems
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-8025-4734
Distributed Systems Group, TU Wien, Austria.
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0003-0326-0556
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0003-0998-6585
Show others and affiliations
2020 (English)In: Proceedings: 2020 IEEE International Conference on Software Architecture (ICSA), Salvador, Brazil, 16-20 March 2020 / [ed] Lisa O’Conner, 2020, p. 146-156Conference paper, Published paper (Refereed)
Abstract [en]

Engineering Internet of Things (IoT) systems is a challenging task partly due to the dynamicity and uncertainty of the environment including the involvement of the human in the loop. Users should be able to achieve their goals seamlessly in different environments, and IoT systems should be able to cope with dynamic changes. Several approaches have been proposed to enable the automated formation, enactment, and self-adaptation of goal-driven IoT systems. However, they do not address deployment issues. In this paper, we propose a goal-driven approach for deploying self-adaptive IoT systems in the Edge-Cloud continuum. Our approach supports the systems to cope with the dynamicity and uncertainty of the environment including changes in their deployment topologies, i.e., the deployment nodes and their interconnections. We describe the architecture and processes of the approach and the simulations that we conducted to validate its feasibility. The results of the simulations show that the approach scales well when generating and adapting the deployment topologies of goal-driven IoT systems in smart homes and smart buildings.

Place, publisher, year, edition, pages
2020. p. 146-156
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:mau:diva-36984DOI: 10.1109/ICSA47634.2020.00022ISI: 000584237000014Scopus ID: 2-s2.0-85085928360ISBN: 978-1-7281-4659-1 (electronic)ISBN: 978-1-7281-4660-7 (print)OAI: oai:DiVA.org:mau-36984DiVA, id: diva2:1504044
Conference
IEEE International Conference on Software Architecture (ICSA), Salvador, Brazil, 16-20 March 2020
Available from: 2020-11-26 Created: 2020-11-26 Last updated: 2024-06-17Bibliographically approved
In thesis
1. Realizing Emergent Configurations in the Internet of Things
Open this publication in new window or tab >>Realizing Emergent Configurations in the Internet of Things
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The Internet of Things (IoT) is a fast-spreading technology that enables new types of services in several domains such as transportation, health, and building automation. To exploit the potential of the IoT effectively, several challenges have to be tackled, including the following ones that we study in this thesis. First, the proposed IoT visions provide a fragmented picture, leading to a lack of consensus about IoT systems and their constituents. To piece together the fragmented picture of IoT systems, we systematically identified their characteristics by analyzing existing taxonomies. More specifically, we identified seventeen characteristics of IoT systems, and grouped them into two categories, namely, elements and quality aspects of IoT systems. Moreover, we conducted a survey to identify the factors that drive the deployment decisions of IoT systems in practice. A second set of challenges concerns the environment of IoT systems that is often dynamic and uncertain. For instance, due to the mobility of users and things, the set of things available in users' environment might change suddenly. Similarly, the status of IoT systems’ deployment topologies (i.e., the deployment nodes and their interconnections) might change abruptly. Moreover, environmental conditions monitored and controlled through IoT devices, such as ambient temperature and oxygen levels, might fluctuate suddenly. The majority of existing approaches to engineer IoT systems rely on predefined processes to achieve users’ goals. Consequently, such systems have significant shortcomings in coping with dynamic and uncertain environments. To address these challenges, we used the concept of Emergent Configurations (ECs) to engineer goal-driven IoT systems. An EC is an IoT system that consists of a dynamic set of things that cooperate temporarily to achieve a user goal. To realize ECs, we proposed an abstract architectural approach, comprising an architecture and processes, as well as six novel approaches that refine the abstract approach. The developed approaches support users to achieve their goals seamlessly in arbitrary environments by enabling the dynamic formation, deployment, enactment, and self-adaptation of IoT systems. The approaches exploit different techniques and focus on different aspects of ECs. Moreover, to better support users in dynamic and uncertain environments, we investigated the automated configuration of those environments based on users' preferences. 

Place, publisher, year, edition, pages
Malmö: Malmö universitet, 2020. p. 254
Series
Studies in Computer Science ; 12
Keywords
Internet of Things, Emergent Configurations, Goal-driven IoT Systems, Automated Configuration of IoT environments, Software Architectures, Self-adaptive Systems.
National Category
Engineering and Technology
Identifiers
urn:nbn:se:mau:diva-18508 (URN)10.24834/isbn.9789178771226 (DOI)978-91-7877-121-9 (ISBN)978-91-7877-122-6 (ISBN)
Public defence
2020-12-18, Digitalt, 10:00 (English)
Opponent
Supervisors
Projects
Emergent Configurations for IoT Systems – ECOS+
Available from: 2020-10-06 Created: 2020-10-06 Last updated: 2023-12-28Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Alkhabbas, FahedSpalazzese, RominaDavidsson, Paul

Search in DiVA

By author/editor
Alkhabbas, FahedSpalazzese, RominaDavidsson, Paul
By organisation
Department of Computer Science and Media Technology (DVMT)Internet of Things and People (IOTAP)
Information Systems, Social aspects

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 72 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf