The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
QoS-Aware Deployment of IoT Applications Through the Fog
Abstract
Fog computing aims at extending the Cloud by bringing computational power, storage, and communication capabilities to the edge of the network, in support of the IoT. Segmentation, distribution, and adaptive deployment of functionalities over the continuum from Things to Cloud are challenging tasks, due to the intrinsic heterogeneity, hierarchical structure, and very large scale infrastructure they will have to exploit. In this paper, we propose a simple, yet general, model to support the QoS-aware deployment of multicomponent IoT applications to Fog infrastructures. The model describes operational systemic qualities of the available infrastructure (latency and bandwidth), interactions among software components and Things, and business policies. Algorithms to determine eligible deployments for an application to a Fog infrastructure are presented. A Java tool, FogTorch, based on the proposed model has been prototyped.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fog Computing: A Platform for Internet of Things and Analytics
Bonomi, F., Milito, R., Natarajan, P., & Zhu, J. (2014) · Studies in Computational Intelligence · doi:10.1007/978-3-319-05029-4_7 · Cited by 1,222
Cited by
All one needs to know about fog computing and related edge computing paradigms: A complete survey
Yousefpour, A., Fung, C., Nguyen, T., Kadiyala, K., Jalali, F., Niakanlahiji, A., Kong, J., & Jue, J. P. (2019) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2019.02.009 · Cited by 1,368
Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues
Čolaković, A., & Hadžialić, M. (2018) · Computer Networks · doi:10.1016/j.comnet.2018.07.017 · Cited by 825
Bibri, S. E. (2018) · Sustainable Cities and Society · doi:10.1016/j.scs.2017.12.034 · Cited by 799
Resource Management in Fog/Edge Computing: A Survey on Architectures, Infrastructure, and Algorithms
Hong, C.-H., & Varghese, B. (2020) · ACM Computing Surveys · doi:10.1145/3326066 · Cited by 461
Resource management approaches in fog computing: a comprehensive review
Ghobaei-Arani, M., Souri, A., & Rahmanian, A. A. (2020) · Journal of Grid Computing · doi:10.1007/s10723-019-09491-1 · Cited by 365
Metadata
- Authors
- Brogi, A., & Forti, S.
- Venue
- IEEE Internet of Things Journal
- Published
- 2017-10
- Volume
- 4
- Issue
- 5
- Pages
- 1185-1192
- ISSN
- 2327-4662 (ISSN-L)
- OpenAlex
- W2573834517
- Cited by
- 472
- References
- 1
- FWCI
- 35.95
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: QoS-Aware Deployment of IoT Applications Through the Fog. https://app.cochat.ai/papers/10.1109/jiot.2017.2701408
- The paper
- Brogi, A., & Forti, S. (2017). QoS-Aware Deployment of IoT Applications Through the Fog. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2017.2701408
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
