Dynamic shift from cloud computing to industry 4.0: eco-friendly choice or climate change threat
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A survey of several Indian cities showed that real-time fog computing applications outperformed cloud computing by reducing environmental CO2.
“A survey of several Indian cities showed that real-time FC applications outperformed cloud computing by reducing environment CO 2 [171].”
From Edge AI: A survey (2023) · cites this paper as [171]
Intelligent home systems use edge computing to analyze sensing data from devices including webcams and accelerometers and then adjust the house's climate control, illumination, and surveillance.
“Edge computing is used by intelligent home systems to analyse sensing data collected from devices, including webcams and accelerometers and then make adjustments to the house's climate control, illumination, and surveillance [171].”
From Edge AI: A survey (2023) · cites this paper as [171]
Differences among Edge Computing paradigms relate to different deployment architectures; where the edge process is placed and which network or industry segment is the focus are major differentiating factors.
“Differences among Edge Computing paradigms have related to different deployment architectures; for example, where the “edge” process is placed and which network (industry segment) is the focus of the edge process are major differentiating factors [171].”
From Edge AI: A survey (2023) · cites this paper as [171]
Cites
Tuli, S., Basumatary, N., Gill, S. S., Kahani, M., Arya, R. C., Wander, G. S., & Buyya, R. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2019.10.043 · Cited by 669 · see citing works
Self-citationA survey of physics-based attack detection in cyber-physical systems
Giraldo, J., Urbina, D., Cardenas, A., Valente, J., Faisal, M., Ruths, J., Tippenhauer, N. O., Sandberg, H., & Candell, R. (2019) · ACM Computing Surveys · doi:10.1145/3203245 · Cited by 535 · see citing works
IoT Based Agriculture as a Cloud and Big Data Service: The Beginning of Digital India
Gill, S. S., Chana, I., & Buyya, R. (2017) · Journal of Organizational and End User Computing · doi:10.4018/joeuc.2017100101 · Cited by 125 · see citing works
Self-citationTuli, S., Gill, S. S., Casale, G., & Jennings, N. R. (2020) · Internet Technology Letters · doi:10.1002/itl2.198 · Cited by 23 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Singh, R., & Gill, S. S. (2023) · Internet of Things and Cyber-Physical Systems · doi:10.1016/j.iotcps.2023.02.004 · Cited by 572 · see citing works
Self-citation
- Authors
- Singh, M., Tuli, S., Butcher, R. J., Kaur, R., & Gill, S. S.
- Affiliations
- Indian Institute of Tropical Meteorology (IN)
- Indian Institute of Technology Delhi (IN)
- Queen Mary University of London (GB)
- Guru Nanak Dev University (IN)
- Corresponding author
- Gill, Sukhpal Singh
- Venue
- Lecture Notes on Data Engineering and Communications Technologies
- Publisher
- Springer International Publishing
- Published
- 2021
- Pages
- 275-293
- ISSN
- 2367-4512 (ISSN-L)
- 2367-4520
- OpenAlex
- W3170950289
- Cited by
- 6
- References
- 4
- Citations by year
- 2025: 1 · 2023: 2 · 2022: 3
- FWCI
- 1.96
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes on data engineering and communications technologies (publishedVersion)
- Queen Mary Research Online (Queen Mary University of London) (submittedVersion)
- Topics
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Green IT and Sustainability
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Physical Sciences › Computer Science › Hardware and Architecture › Energy Efficiency in Computing
- Keywords
- cloud computing, Industry 4.0, cloud data centers, carbon footprint, climate change, energy consumption, Internet of Things, environmental impact of cloud computing
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
