Software-Defined Networking: A Comprehensive Survey

By J. Esch. Proceedings of the IEEE, 2015

3,915 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/0440b8ca90d8e5e0a2b38e825a1d9850214f9749

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

Citations in the corpus

A Survey on Intent-Based Networking (2023, background): “In addition, due to the multi-vendor device environment, re-conﬁguration required vendor-speciﬁc low level commands to be implemented manually on each device [30].”
Digital Twin in the IoT Context: A Survey on Technical Features, Scenarios, and Architectural Models (2020, background): “Since 2016, he has been the Technical Project Leader of the SoftFIRE, a European Project devoted to the experimentation of network function virtualization (NFV), software defined networking (SDN), and edge computing.”
Ultra-Dense Networks: A Survey (2016, background): “Niephaus et al. [101] discussed the unique challenges of the SDN concepts when it is implemented in wireless networks.”
Internet of Things in the 5G Era: Enablers, Architecture, and Business Models (2016, background): “, the decision making about the routing of traffic flow - forwarding rule) [49].”
DDoS Attack Detection and Mitigation Using SDN: Methods, Practices, and Solutions (2017, background): “Depending upon the rules installed by a controller application, an OpenFlow switch can take the role of a router, switch, ﬁrewall, load balancer, etc. [26,31].”
A Vademecum on Blockchain Technologies: When, Which, and How (2019, background): “resilience and security that can be summarized by a desirable level of dependability [237], [238].”
A survey on 5G: The next generation of mobile communication (2015, background): “Interested readers may refer to [31, 117, 70, 45, 23, 19] to ﬁnd details of SDN, challenges in SDN, and applications of SDN. Note that SDN, NFV, and C-RANs ofﬂoad functionalities to software running on commodity servers.”
5G network slicing using SDN and NFV- A survey of taxonomy, architectures and future challenges (2019, methodology): “SDN is an approach that brings intelligence and ﬂexible programmable 5G networks capable of orchestrating and controlling applications/services in more ﬁne-grained and network-wide manner [73,95] .”
A Survey of Security in Software Defined Networks (2016, background): “A few of these analyses [21], [24], [27]”
Resource Allocation in NFV: A Comprehensive Survey (2016, background): “NFV is closely related to other emerging technologies, such as Software Defined Networking (SDN) [32].”
Computation Offloading Toward Edge Computing (2019, background): “Besides, in recent years, there is a trend of software-defined something, such as SDN [213], software-defined storage architecture (SDS) [214], and software-defined batteries (SDBs) [215], and then, is there a software-defined offloading?”
A survey on service function chaining (2016, background): “Advances in SDN have already addressed most of these aforementioned problems [27, 58].”
Mininet-WiFi: Emulating software-defined wireless networks (2015, methodology): “In support of research on Software-Defined Networking (SDN) [2] architectures, the Mininet emulator [3] allows rich experiments and fast prototyping cycles, which are especially interesting for teaching, research and reproducibility purposes in academia as well as pre-deployment evaluation of “exact”
Software Defined Networking Architecture, Security and Energy Efficiency: A Survey (2017, background): “Both virtual switches such as Open vSwitch, Indigo, Pica8, Nettle, Open Flowj and physical switches coexist in this layer [6], [7], [41]–[43].”
A Survey on Bitrate Adaptation Schemes for Streaming Media Over HTTP (2019, background): “SDN [143], [144] within an adaptive video streaming system are as follows: • SDN allows for network resource control and monitoring capabilitiesand thus simplifying network resource programming and deployment.”
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2019, background): “To manage the complex networks with respect to comprehensive resource optimization [16] is challenging, particularly under the premise of considering key enablers of the future network, including Software-Defined Network (SDN) [272], IoTs, Internet of Vehicles (IoVs).”
Mobile Edge Computing, Fog et al.: A Survey and Analysis of Security Threats and Challenges (2016, background): “Protocol and Network Security — — — [86][93][94] [95][96][97]”