SCADA Systems in the Cloud
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SCADA system has undergone significant changes over time and still does on a large scale, including various mitigation scenarios.
“Not only has the SCADA system undergone significant changes over time [57] and it still does on a large scale, including various mitigation scenarios [38], but it is also an integral part of a larger ICS in which it is integrated across multiple hierarchical layers and extends even beyond ICS boundaries by exchanging data with enterprise-level IT solutions supporting business model and various”
From SCADA Systems With Focus on Continuous Manufacturing and Steel Industry: A Survey on Architectures, Standards, Challenges and Industry 5.0 (2022) · cites this paper as [38]
Cites
Unraveling the Web services web: an introduction to SOAP, WSDL, and UDDI
Curbera, F., Duftler, M. J., Khalaf, R. Y., et al. (2002) · IEEE Internet Computing · doi:10.1109/4236.991449 · Cited by 1,292 · see citing works
Challenges in real-time virtualization and predictable cloud computing
García‐Valls, M., Cucinotta, T., & Lu, C. (2014) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2014.07.004 · Cited by 210 · see citing works
García‐Valls, M., Lopez, I. R., & Villar, L. F. (2012) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2198662 · Cited by 159 · see citing works
SCADASim—A Framework for Building SCADA Simulations
Queiroz, C., Mahmood, A. N., & Tari, Z. (2011) · IEEE Transactions on Smart Grid · doi:10.1109/tsg.2011.2162432 · Cited by 153 · see citing works
Self-citationWorkflow management for soft real-time interactive applications in virtualized environments
Gogouvitis, S. V., Konstanteli, K. G., Waldschmidt, S., et al. (2011) · Future Generation Computer Systems · doi:10.1016/j.future.2011.05.017 · Cited by 33 · see citing works
Self-citationChurch, P. C., Goscinski, A. M., & Lefèvre, C. M. (2014) · Future Generation Computer Systems · doi:10.1016/j.future.2014.10.001 · Cited by 23 · see citing works
Self-citationDevelopment of a Service Oriented SCADA System
Gligor, A., & Turc, T. (2012) · Procedia Economics and Finance · doi:10.1016/s2212-5671(12)00149-9 · Cited by 19 · see citing works
Review of Supervisory Control and Data Acquisition (SCADA) Systems
Nickelson, R., Johnson, B., & Barnes, K. (2004) · doi:10.2172/911208 · Cited by 14 · see citing works
High Performance Computing Clouds
Goscinski, A. M., Brock, M., & Church, P. D. (2011) · CRC Press eBooks · doi:10.1201/b11149-11 · Cited by 13 · see citing works
Self-citationMoving SCADA Systems to IaaS Clouds
Church, P. C., MUELLER, H. S., Ryan, C., et al. (2015) · doi:10.1109/smartcity.2015.186 · Cited by 12 · see citing works
Self-citationComparison between commercial and open-source SCADA packages—A case study
Barana, O., Barbato, P., Breda, M., et al. (2010) · Fusion Engineering and Design · doi:10.1016/j.fusengdes.2010.02.004 · Cited by 10 · see citing works
SKYDA: cloud-based, secure SCADA-as-a-service
Goose, S., Kirsch, J., & Wei, D. (2014) · International Transactions on Electrical Energy Systems · doi:10.1002/etep.2018 · Cited by 7 · see citing works
The Framework of SCADA System Based on Cloud Computing
Liu, M., Guo, C., & Yuan, M. (2014) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-319-05506-0_15 · Cited by 5 · see citing works
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Sverko, M., Grbac, T. G., & Mikuc, M. (2022) · IEEE Access · doi:10.1109/access.2022.3211288 · Cited by 71 · see citing works
“…use only minimal hardware and software con-figuration on casting floor, and benefit from remote access and virtualization solutions relying on redundant client-server architecture [36], and potentially moving toward cloud solutions [37], [38], [39] providing additional storage and computational power.”
BackgroundBenchmarking Cloud-Based SCADA System
Yi, M., Mueller, H., Yu, L., & Chuan, J. (2017) · 2017 IEEE International Conference on Cloud Computing Technology and Science (CloudCom) · doi:10.1109/cloudcom.2017.25 · Cited by 14 · see citing works
Self-citation
- Authors
- Church, P., Mueller, H., Ryan, C., Gogouvitis, S. V., Goscinski, A., Haitof, H., & Tari, Z.
- Affiliations
- Deakin University (AU)
- Siemens (Germany) (DE)
- RMIT University (AU)
- Corresponding author
- Tari, Zahir
- Venue
- Handbook of Big Data Technologies
- Publisher
- Springer International Publishing
- Published
- 2017
- Pages
- 691-718
- OpenAlex
- W2591490619
- Cited by
- 21
- References
- 13
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 3 · 2022: 3 · 2019: 3 · 2018: 5 · 2017: 2
- FWCI
- 10.08
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Own your potential (DEAKIN) (submittedVersion)
- Figshare (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Keywords
- SCADA, cloud computing, industrial monitoring, remote control, big data storage, sensor data, cloud-based data analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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