The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems
Open accessAbstract
The recent advances in cloud services technology are fueling a plethora of information technology innovation, including networking, storage, and computing. Today, various flavors have evolved of IoT, cloud computing, and so-called fog computing, a concept referring to capabilities of edge devices and users’ clients to compute, store, and exchange data among each other and with the cloud. Although the rapid pace of this evolution was not easily foreseeable, today each piece of it facilitates and enables the deployment of what we commonly refer to as a smart scenario, including smart cities, smart transportation, and smart homes. As most current cloud, fog, and network services run simultaneously in each scenario, we observe that we are at the dawn of what may be the next big step in the cloud computing and networking evolution, whereby services might be executed at the network edge, both in parallel and in a coordinated fashion, as well as supported by the unstoppable technology evolution. As edge devices become richer in functionality and smarter, embedding capacities such as storage or processing, as well as new functionalities, such as decision making, data collection, forwarding, and sharing, a real need is emerging for coordinated management of fog-to-cloud (F2C) computing systems. This article introduces a layered F2C architecture, its benefits and strengths, as well as the arising open and research challenges, making the case for the real need for their coordinated management. Our architecture, the illustrative use case presented, and a comparative performance analysis, albeit conceptual, all clearly show the way forward toward a new IoT scenario with a set of existing and unforeseen services provided on highly distributed and dynamic compute, storage, and networking resources, bringing together heterogeneous and commodity edge devices, emerging fogs, as well as conventional clouds. Introduction: The Scenario
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
The Fog Computing Paradigm: Scenarios and Security Issues
Stojmenovic, I., & Wen, S. (2014) · Annals of Computer Science and Information Systems · doi:10.15439/2014f503 · Cited by 1,037
Toward cloud-based vehicular networks with efficient resource management
Yu, R., Zhang, Y., Gjessing, S., Xia, W., & Yang, K. (2013) · IEEE Network · doi:10.1109/mnet.2013.6616115 · Cited by 415
Security challenges in vehicular cloud computing
Yan, G., Wen, D., Olariu, S., & Weigle, M. C. (2013) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2012.2211870 · Cited by 259
Business Intelligence for Enterprise Systems: A Survey
Duan, L., & Xu, L. D. (2012) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2012.2188804 · Cited by 254
Consuming Resources and Services from Multiple Clouds
Petcu, D. (2014) · Journal of Grid Computing · doi:10.1007/s10723-013-9290-3 · Cited by 107
Cited by
Taleb, T., Samdanis, K., Mada, B., Flinck, H., Dutta, S., & Sabella, D. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2705720 · Cited by 1,775
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
Collaborative Cloud and Edge Computing for Latency Minimization
Ren, J., Yu, G., He, Y., & Li, G. Y. (2019) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2019.2904244 · Cited by 685
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
Ni, J., Zhang, K., Lin, X., & Shen, X. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2762345 · Cited by 659
Live Data Analytics With Collaborative Edge and Cloud Processing in Wireless IoT Networks
Sharma, S. K., & Wang, X. (2017) · IEEE Access · doi:10.1109/access.2017.2682640 · Cited by 241
“On the other hand, the concept of edge computing, also called fog computing,1 is receiving important attention in order to address some of the drawbacks of cloud computing [8]–[10].”
Background
Metadata
- Authors
- Masip-Bruin, X., Marín-Tordera, E., Tashakor, G., Jukan, A., & Ren, G.-J.
- Venue
- IEEE Wireless Communications
- Published
- 2016-10
- Volume
- 23
- Issue
- 5
- Pages
- 120-128
- ISSN
- 1536-1284 (ISSN-L)
- OpenAlex
- W2548601994
- Cited by
- 267
- References
- 6
- FWCI
- 48.95
- Type
- journal article
- Language
- en
- Open access
- green
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: Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems. https://app.cochat.ai/papers/10.1109/mwc.2016.7721750
- The paper
- Masip-Bruin, X., Marín-Tordera, E., Tashakor, G., Jukan, A., & Ren, G.-J. (2016). Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems. IEEE Wireless Communications. https://doi.org/10.1109/mwc.2016.7721750
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.