Network virtualization and software defined networking for cloud computing: a survey

By Raj Jain, S. Paul. IEEE Communications Magazine, 2013

594 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/a291e9d2bb6549548bc34bfe49879c64d51cd0cf

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

1. Yuichi Kawamoto
2. Nei Kato
3. Zubair Muhammad Fadlullah
4. Chunxiao Jiang
5. George Varghese
6. Haijun Zhang
7. Lajos Hanzo
8. Martin Reisslein

In Information Systems

1. Min Chen
2. Feng Hu
3. Nei Kato
4. F. Yu
5. Tor Skeie
6. Martin Reisslein
7. Chunxiao Jiang
8. Cem Ersoy

Citations in the corpus

• How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “Not only the control mechanism but also the programmability of the forwarding devices come into prominence in order to orchestrate a large number of end-user devices that offload tasks to the resource pool [130].”
• Understanding O-RAN: Architecture, Interfaces, Algorithms, Security, and Research Challenges (2022, unknown): “This platform combines physical nodes, software components (e.g., the operating system, virtual machine hypervisors, etc.), and management and orchestration functionalities [52], and specializes the virtualization paradigm for O-RAN [53].”
• Software-Defined Industrial Internet of Things in the Context of Industry 4.0 (2016, unknown): “software virtualization technology [22], [23].”
• Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks (2019, background): “A SDN connects decentralized users to cloud computing through a “network pipeline” [165] [166].”
• Mobile Edge Computing: A Survey (2018, methodology): “Data layer contains user-generated messages and is responsible to forward them using the forwarding tables prepared by the control layer [66].”
• Data Security and Privacy-Preserving in Edge Computing Paradigm: Survey and Open Issues (2018, background): “Some other smart applications, such as smart healthcare [39], smart home [40], smart city [41], big data analytics [42], and software-defined networks [43] also need a bridging point between cloud center and sensors to supporting the efficient services by edge computing.”
• Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network (2018, background): “Although the concept of SDN evolves, its main idea is to decouple the control plane from the data plane by virtualization [42].”
• A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues (2017, background): “This is because the cloud computing emerged as one of the prominent areas for data computation and analytics due to its ability to provide computing-based services by means of sharing networks, storage, servers, applications, and so forth [61], [62].”
• A Survey of Machine Learning Techniques Applied to Software Defined Networking (SDN): Research Issues and Challenges (2019, background): “[56], [57], Internet of Things (IoT) [58], edge computing [59], Wide Area Networks (WAN) [60], cloud computing [61], Network Function Virtualization (NFV) [62], [63].”
• Software-Defined Network Function Virtualization: A Survey (2015, unknown): “bottlenecks, and implement fault tolerance [35], [95]–[98].”
• IoT-Enabled Social Relationships Meet Artificial Social Intelligence (2021, unknown): “Network Function Virtualization (NFV) uses software virtualization instead of networking devices.”
• Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges (2018, unknown): “NFV can provide programming capabilities in FANETs and reduces the network management complexity challenge [339], [340].”
• CONGA: distributed congestion-aware load balancing for datacenters (2015, background): “Overlays are deployed today to virtualize the physical network and enable multi-tenancy and agility by decoupling endpoint identifiers from their location (see [38, 22, 33] for more details).”
• Survey on Network Virtualization Hypervisors for Software Defined Networking (2015, background): “SDN breaks with the traditionally distributed control of the Internet by centralizing the control of an entire physical SDN network in a single logical SDN controller [11], as illustrated in Fig.”