The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Software Defined Optical Networks (SDONs): A Comprehensive Survey
Open accessAbstract
The emerging software defined networking (SDN) paradigm separates the data plane from the control plane and centralizes network control in an SDN controller. Applications interact with controllers to implement network services, such as network transport with quality of service. SDN facilitates the virtualization of network functions so that multiple virtual networks can operate over a given installed physical network infrastructure. Due to the specific characteristics of optical (photonic) communication components and the high optical transmission capacities, SDN-based optical networking poses particular challenges, but holds also great potential. In this article, we comprehensively survey studies that examine the SDN paradigm in optical networks; in brief, we survey the area of software defined optical networks (SDONs). We mainly organize the SDON studies into studies focused on the infrastructure layer, the control layer, and the application layer. Moreover, we cover SDON studies focused on network virtualization, as well as SDON studies focused on the orchestration of multilayer and multidomain networking. Based on the survey, we identify open challenges for SDONs and outline future directions.
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
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660
A survey of mobile cloud computing: architecture, applications, and approaches
Dinh, H. T., Lee, C., Niyato, D., & Wang, P. (2013) · Wireless Communications and Mobile Computing · doi:10.1002/wcm.1203 · Cited by 2,391 · cited 1×
“Also, the exploration of the benefits of FiWi networks for decentralized cloudlets [356]–[359] that support mobile wireless network services is an important future research direction [360].”
BackgroundA survey of information-centric networking
Ahlgren, B., Dannewitz, C., Imbrenda, C., Kutscher, D., & Ohlman, B. (2012) · IEEE Communications Magazine · doi:10.1109/mcom.2012.6231276 · Cited by 1,630
A survey on software-defined network and openflow: From concept to implementation
Hu, F., Hao, Q., & Bao, K. (2014) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2014.2326417 · Cited by 752
A roadmap for traffic engineering in SDN-OpenFlow networks
Akyildiz, I. F., Lee, A., Wang, P., Luo, M., & Chou, W. (2014) · Computer Networks · doi:10.1016/j.comnet.2014.06.002 · Cited by 536 · cited 1×
“The general principles of SDN have been extensively covered in several surveys, see for instance, [2], [6], [7], [10]–[27].”
BackgroundGroup Sparse Beamforming for Green Cloud-RAN
(2014) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2014.040214.131770 · Cited by 468
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
Xie, J., Yu, F. R., Huang, T., Xie, R., Liu, J., Wang, C., & Liu, Y. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2866942 · Cited by 700
Underwater optical wireless communications, networking, and localization: A survey
Saeed, N., Celik, A., Al-Naffouri, T. Y., & Alouini, M.-S. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2019.101935 · Cited by 560
How Can Heterogeneous Internet of Things Build Our Future: A Survey
Qiu, T., Chen, N., Li, K., Atiquzzaman, M., & Zhao, W. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2018.2803740 · Cited by 444
Indoor Positioning Systems Based on Visible Light Communication: State of the Art
Luo, J., Fan, L., & Li, H. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2743228 · Cited by 435
Metadata
- Authors
- Thyagaturu, A. S., Mercian, A., McGarry, M. P., Reisslein, M., & Kellerer, W.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2016
- Volume
- 18
- Issue
- 4
- Pages
- 2738-2786
- ISSN
- 1553-877X (ISSN-L)
- OpenAlex
- W2463012949
- Cited by
- 364
- References
- 6
- FWCI
- 25.76
- 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: Software Defined Optical Networks (SDONs): A Comprehensive Survey. https://app.cochat.ai/papers/10.1109/comst.2016.2586999
- The paper
- Thyagaturu, A. S., Mercian, A., McGarry, M. P., Reisslein, M., & Kellerer, W. (2016). Software Defined Optical Networks (SDONs): A Comprehensive Survey. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/comst.2016.2586999
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.