{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,18]],"date-time":"2026-03-18T03:44:31Z","timestamp":1773805471717,"version":"3.50.1"},"reference-count":9,"publisher":"SGEM WORLD SCIENCE (SWS) Scholarly Society","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,25]]},"abstract":"<jats:p> Cloud technology is the backbone of the delivery pipeline of just about every digital service today, from social media and streaming entertainment to connected cars and autonomous internet of things (IoT) infrastructure. \nStudies show the expectations are more than 15 billion IoT devices to be connected to Cloud services by 2029. \nUpcoming or new ultra-fast networks such as 5G and Wi-Fi 6E mean that more IoT data will be streamed to and from applications hosted in the cloud. Cloud services and infrastructure essentially help any other technology to be much lighter, faster, and more accessible, and this fact will be an important key driver in the migration of more services to the cloud. \nThe use-cases and scenarios become increasingly complex. This is challenging for decision-makers such as chief information officers, solution architects, scientists, and others as they are overwhelmed by various choices available by the increasingly growing number of cloud providers. \nThe main requirements that must be met in a pure cloud application are operational excellence, security, reliability, performance efficiency and cost optimization. These requirements are met by several cloud providers and their evaluation is important. \nIn this article, an evaluation model is proposed that helps to identify the most appropriate Cloud Services Provider (CSP) during the design process of high performance, real-time IoT Big Data solutions. <\/jats:p>","DOI":"10.35603\/sws.iscss.vg2021\/s13.68","type":"proceedings-article","created":{"date-parts":[[2022,4,1]],"date-time":"2022-04-01T05:29:44Z","timestamp":1648790984000},"page":"625-638","source":"Crossref","is-referenced-by-count":4,"title":["CLOUD SERVICES PROVIDERS EVALUATION MODEL FOR DESIGNING HIGH PERFORMANCE, REAL-TIME IOT BIG DATA SOLUTIONS"],"prefix":"10.35603","volume":"8","author":[{"given":"Kristina","family":"Dineva","sequence":"first","affiliation":[{"name":"Institute of Information and Communication Technologies \ufffd Bulgarian Academy of Sciences","place":["Bulgaria"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tatiana","family":"Atanasova","sequence":"additional","affiliation":[{"name":"Institute of Information and Communication Technologies \ufffd Bulgarian Academy of Sciences","place":["Bulgaria"]}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"21192","reference":[{"key":"ref=1","doi-asserted-by":"crossref","unstructured":"[1] Turek, T., Dziembek, D., Hernes, M. The Use of IT Solutions Offered in the Public Cloud to Reduce the City\ufffds Carbon Footprint. MDPI, Energies, 14, 6389, 2021","DOI":"10.3390\/en14196389"},{"key":"ref=2","unstructured":"[2] Bala Raj, Gill Bob, Smith D., Wright D., Ji K., Magic Quadrant for Cloud Infrastructure and Platform Services. Gartner, 2020"},{"key":"ref=3","unstructured":"[3] Levestam A., Lofgren G., Criteria Affecting the Choice of Cloud Service Provider. An Exploratory study of the process of choosing a cloud service provider. Industrial Management Degree Project 30 ECTS, 2021"},{"key":"ref=4","doi-asserted-by":"crossref","unstructured":"[4] Dineva K., Atanasova T., Design of Scalable IoT Architecture Based on AWS for Smart Livestock. MDPI Animals, 11(9), 2697, 2021","DOI":"10.3390\/ani11092697"},{"key":"ref=5","doi-asserted-by":"crossref","unstructured":"[5] Kamal M., Raza H., Alam M., Mazliham M., Highlight the features of AWS, GCP and Microsoft Azure that have an impact when choosing a Cloud Service Provider. International Journal of Recent Technology and Engineering (IJRTE), volume 8, issue 5, 2020","DOI":"10.35940\/ijrte.D8573.018520"},{"key":"ref=6","unstructured":"[6] Giordanelli R., Mastroianni C., The Cloud Computing Paradigm: Characteristics, Opportunities and Research Issues. ICAR, 2010"},{"key":"ref=7","doi-asserted-by":"crossref","unstructured":"[7] Tsochev G., Research on Web Applications for Remote Laboratory Exercises on Computer Networks. IEEE Infotech, 2021","DOI":"10.1109\/InfoTech52438.2021.9548329"},{"key":"ref=8","unstructured":"[8] Qu L., Credible Service Selection in Cloud Environments. Macquarie university, PhD thesis, 2016"},{"key":"ref=9","unstructured":"[9] Petrov P., Kostadinov G., Zhivkov P., Velichkova V., Balabanov T., Approximated sequences reconstruction with genetic algorithms. SAI, 2020"}],"event":{"name":"8th SWS International Scientific Conference on SOCIAL SCIENCES - ISCSS 2021","theme":"Social Sciences","location":"Albena, Bulgaria","acronym":"ISCSS, 2021","number":"8","sponsor":["SGEM WORLD SCIENCE (SWS) Scholarly Society, Austria"],"start":{"date-parts":[[2021,8,19]]},"end":{"date-parts":[[2021,8,22]]}},"container-title":["SWS International Scientific Conference on Social Sciences - ISCSS","8th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS Proceedings, 2021"],"original-title":[],"deposited":{"date-parts":[[2023,4,20]],"date-time":"2023-04-20T07:06:55Z","timestamp":1681974415000},"score":1,"resource":{"primary":{"URL":"https:\/\/ssalibrary.at\/sgem_jresearch_publication_view.php?page=view&editid1=4687"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":9,"URL":"https:\/\/doi.org\/10.35603\/sws.iscss.vg2021\/s13.68","relation":{},"ISSN":["2682-9959"],"issn-type":[{"value":"2682-9959","type":"print"}],"subject":[],"published":{"date-parts":[[2021,10,25]]}}}