Igor Baranovski, Stevan Stankovski, Gordana Ostojić, Vlastimir Nikolić, Miloš Simonović, Miloš Stanojević

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New ICT architectures enable a better response to constant pressure on the industry and services to improve their business performance and productivity, especially in data processing. At the same time, due to the growing number of sensor modules, the amount of data that needs to be processed, in real time, is growing. Delays in communication with the cloud environment can lead to poor management decisions or user dissatisfaction. In automation and services, one of the new ICT architectures is Edge computing in the data processing. Edge computing is a networking architecture that brings computing close to the source of data in order to reduce latency and bandwidth use. Edge computing brings new power to data processing and the ability to process large amounts of data in real time. This is essential for predicting the behavior of machines, systems, or customers in order to detect errors or provide personalized service as in the case of smart vending machines. In that way, Edge computing enables taking steps toward establishing a smart ecosystem in automation and services.


IoT/IIoT, Cloud Computing, Edge Computing, Ecosystem

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Ostojić, G., Tegeltija, S., Lazarević, M., Oros, D., Stankovski, S., 2016, Implementation of IoT and FIWARE in Production Systems, Proc. XIII International SAUM Conference on Systems, Automatic Control and Measurements Niš, Serbia, pp. 1-4.

Pourqasem, J., 2018, Cloud-based IoT: integration cloud computing with Internet of things, International Journal of Research in Industrial Engineering, 7, pp. 482–494.

Qiu, T., Chi, J., Zhou, X., Ning, Z., Atiquzzaman, M., Wu, D.O., 2020, Edge computing in Industrial Internet of things: architecture, advances and challenges, IEEE Communications Surveys Tutorials, 22(4), pp. 2462-2488

Shi, W.,Cao, J., Zhang, Q., Li, Y., Xu, L., 2016, Edge computing: Vision and challenges, IEEE Internet of Things Journal,3(5), pp. 637–646.

Wang, K., Tan,Y., Shao, Z., Ci, S., Yang, Y., 2019, Learning-based task offloading for delay-sensitive applications in dynamic fog networks, IEEE Transaction of Transactions on Vehicular Technology, 68(11), pp. 11399–11403.

Mell, P., Grance, T., 2011, The NIST Definition of Cloud Computing, NIST Special Publication 800-145.

Gill, S.S., Garraghan, P., Buyya, R., 2019, Router: fog enabled cloud based intelligent resource management approach for smart home IoT devices, Journal of Systems and Software, 154, pp. 125–138.

Kunal, S., Saha, A., Amin, R., 2019, An overview of cloud-fog computing: architectures, applications with security challenges, IEEE Security and Privacy, 2(4), pp. 1–14.

Burhan, M., Rehman, R.A., Khan, B. Kim, B.S, 2018, IoT Elements, Layered Architectures and Security Issues: A Comprehensive Survey, Sensors, 18 (2796)

Sethi, P., Sarangi, S.R., 2017, Internet of Things: Architectures, Protocols, and Applications, Journal of Electrical and Computer Engineering, doi: 10.1155/2017/9324035

Liu, X., Lam, K.H., Zhu, K., Zheng, C., Li, X., Du, Y., Liu, C., Pong, P., 2019, Overview of Spintronic Sensors with Internet of Things for Smart Living, IEEE Transactions on Magnetics, 55(11), pp. 1-22. (last access: 15.1.2022.)

Omoniwa, B., Hussain, R., Javed, M.A., Bouk, S.H., Malik, S.A., 2019, Fog/Edge Computing-Based IoT (FECIoT): Architecture, Applications, and Research Issues, IEEE Internet of Things Journal, 6(3), pp. 4118–4149.

Jiang, Y., Zheng, W., 2021, Coupling mechanism of green building industry innovation ecosystem based on blockchain smart city, Journal of Cleaner Production, 307(126766)

Lin, F.C., Yu, H.W., Hsu, C.H., Weng, T.C., 2011, Recommendation system for localized products in vending machines, Expert systems with applications, 38(8), pp. 9129-9138 access: 15.1.2022.)

Dilijonas, D., Sakalauskas, V., 2011, Self-service Systems Performance Evaluation and Improvement Model, In Conference on e-Business, e-Services and e-Society (pp. 87-98). Springer, Berlin, Heidelberg.

Wachter, K., 2002, Longitudinal assessment of web retailers: issues from a consumer point of view, Journal of Fashion Marketing and Management: An International Journal, 6(2), pp 134-145

Vicini, S., Sanna, A., Bellini, S., 2012, A living lab for internet of things vending machines, In International Conference on the Impace of Virtual, Remote, and Real Logistics Labs, Springer, Berlin, Heidelberg, pp. 35-43.

Irshad, S., Rambli, D.R.B.A., 2014, User experience of mobile augmented reality: A review of studies, In 2014 3rd international conference on user science and engineering (i-USEr),pp. 125-130.

Kasiri, L.A., Cheng, K.T.G., Sambasivan, M., Sidin, S.M., 2017, Integration of standardization and customization: Impact on service quality, customer satisfaction, and loyalty, Journal of Retailing and Consumer Services, 35, pp. 91-97.

Ngo, V.M., Nguyen, H.H., 2016, The relationship between service quality, customer satisfaction and customer loyalty: An investigation in Vietnamese retail banking sector, Journal of competitiveness, 8(2), pp. 103-116.

Oh, H., 1999, Service quality, customer satisfaction, and customer value: A holistic perspective, International journal of hospitality management, 18(1), pp. 67-82.

Oh, H., Kim, K., 2017, Customer satisfaction, service quality, and customer value: years 2000-2015, International Journal of Contemporary Hospitality Management, 29(1), pp. 2-29.

Marinković, V., Senić, V., 2012, Analiza elemenata kvaliteta usluga u korporativnom bankarstvu, Ekonomski horizonti, 14(1), 13-22.

Castro, D., Atkinson, R.D., Ezell, S.J., 2010, Embracing the self-service economy,The Information Technology & Innovation Foundation, pp. 1-46. access: 15.1.2022.)

Stankovski, S., Ostojić, G., Zhang, X., 2016, Influence of industrial Internet of Things on mechatronics, Journal of Mechatronics, Automation and Identification Technology, 1(1), pp.1-6.

Stankovski, S., Ostojić, G., Zhang, X., Baranovski, I., Tegeltija, S., Horvat, S., 2019, Mechatronics, Identification Tehnology, Industry 4.0 and Education, In 2019 18th International Symposium Infoteh-Jahorina (Infoteh),pp. 1-4.

Demirkan, H., Spohrer, J., 2014, Developing a framework to improve virtual shopping in digital malls with intelligent self-service systems, Journal of Retailing and Consumer Services, 21(5), pp. 860-868.

Nemet, S., Ostojić, G., Kukolj, D., Stankovski, S., Jovanovic, D., 2019, Feature Selection Using Combined Particle Swarm Optimization and Artificial Neural Network Approach, Journal of Mechatronics, Automation and Identification Technology, 4(1), pp. 7-11.

Baranovski, I., Stankovski, S., Ostojić, G., Horvat, S., 2020, Support for Self-service Automated Parking System, In 2020 19th International Symposium Infoteh - Jahorina (Infoteh), pp. 1-5.

Marsal-Llacuna, M.C., 2016, City Indicators on Social Sustainability as Standardization Technologies for Smarter (Citizen-Centered) Governance of Cities, Social Indicators Research, 128, pp. 1193–1216.

Jacobides, M.G., Cennamo, C., Gawer, A., 2018, Towards a theory of ecosystems, Strategic Management Journal, 39(8), pp. 2255–2276.

Briscoe, G., Sadedin, S., De Wilde, P., 2011, Digital ecosystems: Ecosystem-oriented architectures, Nat Comput., 10 pp. 10:1143–1194.

Stankovski, S., Ostojić, G., Nićin, M., Baranovski, I., Tarjan, L., 2020,Edge Computing for Fault Detection in Smart Systems, Proc.of ICIST 2020, pp 22-26.

Jensen, J.J., 2020, Applying a "Smart Ecosystem" Mindset to Rethink Your Products, Computer, 53(12), pp. 98-101.

Jocanovic, M., Agarski, B., Karanovic, V., Orosnjak, M., Ilic Micunovic, M., Ostojic, G., Stankovski, S., 2019, LCA/LCC Model for Evaluation of Pump Units in Water Distribution Systems, Symmetry, 11(9), pp 1181.

Dai, C., Tang, M., Liu, Y., He, J., Yang, Z., Yang, Y., 2020, Designing Smart Energy Network Ecosystem for Integrated energy services in urban areas, Proc of 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE), pp. 305-310., (last access: 15.1.2022.)

Sibanda, V., Munetsi, L., Mpofu, K., Murena, E., Trimble, J., 2020, Design of a high-tech vending machine, Procedia CIRP, 91, pp. 678-683.

Solano, A., Duro, N., Dormido, R., González, P., 2017, Smart vending machines in the era of internet of things, Future Generation Computer Systems, 76, pp 215-220.

Tang, R., Inoue, Y., 2021, Services on Platform Ecosystems in the Smart Home 2.0 Era: Elements Influencing Consumers’ Value Perception for Smart Home Products, Sensors, 21(21), pp. 7391., (last access: 15.1.2022.)

Sarang, S., Stojanović, G.M., Stankovski, S., Trpovski, Ž., Drieberg, M., 2020, Energy-Efficient Asynchronous QoS MAC Protocol for Wireless Sensor Networks, Wireless Communications and Mobile Computing, 2020, doi: 10.1155/2020/8860371

Demirkan, H., Spohrer, J., 2014, Developing a framework to improve virtual shopping in digital malls with intelligent self-service systems,Journal of Retailing and Consumer Services, 21(5), pp. 860-868., (last access: 15.1.2022.)

Stankovski, S., Ostojic, G., Tarjan, L., Stanojevic, M., Babic, M., 2019,Challenges of IoT Payments in Smart Services, Annals of DAAAM & Proceedings, pp. 4-10. (last access: 15.1.2022.)


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