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On the Deployment of IoT Systems: An Industrial Survey
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0002-8025-4734
Malmö universitet, Fakulteten för teknik och samhälle (TS), Institutionen för datavetenskap och medieteknik (DVMT). Malmö universitet, Internet of Things and People (IOTAP).ORCID-id: 0000-0003-0326-0556
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2020 (Engelska)Ingår i: 2020 IEEE International Conference on Software Architecture Companion (ICSA-C), 2020Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Internet of Things (IoT) systems are complex and multifaceted, and the design of their architectures needs to consider many aspects at a time. Design decisions concern, for instance, the modeling of software components and their interconnections, as well as where to deploy the components within the available hardware infrastructure in the Edge-Cloud continuum. A relevant and challenging task, in this context, is to identify optimal deployment models due to all the different aspects involved, such as extra-functional requirements of the system, heterogeneity of the hardware resources concerning their processing and storage capabilities, and constraints like legal issues and operational cost limits. To gain insights about the deployment decisions concerning IoT systems in practice, and the factors that influence those decisions, we report about an industrial survey we conducted with 66 IoT architects from 18 countries across the world. Each participant filled in a questionnaire that comprises 15 questions. By analyzing the collected data, we have two main findings: (i) architects rely on the Cloud more than the Edge for deploying the software components of IoT systems, in the majority of the IoT application domains; and (ii) the main factors driving deployment decisions are four: reliability, performance, security, and cost.

Ort, förlag, år, upplaga, sidor
2020.
Nationell ämneskategori
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning
Identifikatorer
URN: urn:nbn:se:mau:diva-36983DOI: 10.1109/ICSA-C50368.2020.00012ISI: 000587897600006Scopus ID: 2-s2.0-85085747272ISBN: 978-1-7281-7415-0 (digital)ISBN: 978-1-7281-7416-7 (tryckt)OAI: oai:DiVA.org:mau-36983DiVA, id: diva2:1504041
Konferens
2020 IEEE International Conference on Software Architecture Companion (ICSA-C), 16-20 March 2020, Salvador, Brazil
Tillgänglig från: 2020-11-26 Skapad: 2020-11-26 Senast uppdaterad: 2024-02-05Bibliografiskt granskad
Ingår i avhandling
1. Realizing Emergent Configurations in the Internet of Things
Öppna denna publikation i ny flik eller fönster >>Realizing Emergent Configurations in the Internet of Things
2020 (Engelska)Doktorsavhandling, sammanläggning (Övrigt vetenskapligt)
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. 

Ort, förlag, år, upplaga, sidor
Malmö: Malmö universitet, 2020. s. 254
Serie
Studies in Computer Science ; 12
Nyckelord
Internet of Things, Emergent Configurations, Goal-driven IoT Systems, Automated Configuration of IoT environments, Software Architectures, Self-adaptive Systems.
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:mau:diva-18508 (URN)10.24834/isbn.9789178771226 (DOI)978-91-7877-121-9 (ISBN)978-91-7877-122-6 (ISBN)
Disputation
2020-12-18, Digitalt, 10:00 (Engelska)
Opponent
Handledare
Projekt
Emergent Configurations for IoT Systems – ECOS+
Tillgänglig från: 2020-10-06 Skapad: 2020-10-06 Senast uppdaterad: 2023-12-28Bibliografiskt granskad

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Alkhabbas, FahedSpalazzese, Romina

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Alkhabbas, FahedSpalazzese, Romina
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Institutionen för datavetenskap och medieteknik (DVMT)Internet of Things and People (IOTAP)
Systemvetenskap, informationssystem och informatik med samhällsvetenskaplig inriktning

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Totalt: 106 träffar
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