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Find the Way in the Jungle of Quality of Service in Industrial Cloud: A Systematic Mapping Study
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-2754-9568
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-0401-1036
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0165-3743
2021 (English)In: 11th International Conference on Cloud Computing and Services Science CLOSER 2021, 2021, p. 151-160Conference paper, Published paper (Refereed)
Abstract [en]

The rapid development of Industry 4.0 and Industrial Cyber-Physical Systems is leading to the exponential growth of unprocessed volumes of data. Industrial cloud computing has great potential for providing the resources for processing this data. To be widely adopted, the cloud must ensure satisfactory levels of Qualityof Service (QoS). However, the lack of a standardized model of quality attributes hinders the assessmentof QoS levels. This paper provides a comprehensive systematically defined map of current research trends,results, and gaps in quality attributes and QoS in industrial cloud computing. An extract of the main insights is as follows: (i) the adoption of cloud technologies is closely related to performance indicators, however other quality attributes, such as security, are not considered as much as they should; (ii) solutions are most often not tailored to specific industrial application domains; (iii) research largely focuses on providing solutions with outsolid validation, unsuitable for effective and fruitful technology transfer.

Place, publisher, year, edition, pages
2021. p. 151-160
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-54295DOI: 10.5220/0010380401510160ISI: 000783752100014Scopus ID: 2-s2.0-85137946250OAI: oai:DiVA.org:mdh-54295DiVA, id: diva2:1558964
Conference
11th International Conference on Cloud Computing and Services Science CLOSER 2021, 28 Apr 2021, Prague, Czech Republic
Projects
BUMBLE - Blended Modelling for Enhanced Software and Systems EngineeringAvailable from: 2021-06-01 Created: 2021-06-01 Last updated: 2022-11-08Bibliographically approved

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Latifaj, MalvinaCiccozzi, FedericoSentilles, Séverine

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